id	sid	tid	token	lemma	pos
bracis-19047	1	1	coarsening	coarsen	VERB
bracis-19047	1	2	algorithm	algorithm	NOUN
bracis-19047	1	3	via	via	ADP
bracis-19047	1	4	semi	semi	ADJ
bracis-19047	1	5	-	-	ADJ
bracis-19047	1	6	synchronous	synchronous	ADJ
bracis-19047	1	7	label	label	NOUN
bracis-19047	1	8	propagation	propagation	NOUN
bracis-19047	1	9	for	for	ADP
bracis-19047	1	10	bipartite	bipartite	PROPN
bracis-19047	1	11	networks	network	NOUN
bracis-19047	1	12	|	|	ADV
bracis-19047	1	13	springer	springer	NOUN
bracis-19047	1	14	nature	nature	PROPN
bracis-19047	1	15	link	link	PROPN
bracis-19047	1	16	(	(	PUNCT
bracis-19047	1	17	formerly	formerly	ADV
bracis-19047	1	18	springerlink	springerlink	NOUN
bracis-19047	1	19	)	)	PUNCT
bracis-19047	1	20	skip	skip	VERB
bracis-19047	1	21	to	to	ADP
bracis-19047	1	22	main	main	ADJ
bracis-19047	1	23	content	content	NOUN
bracis-19047	1	24	advertisement	advertisement	NOUN
bracis-19047	1	25	log	log	NOUN
bracis-19047	1	26	in	in	ADP
bracis-19047	1	27	menu	menu	NOUN
bracis-19047	1	28	find	find	VERB
bracis-19047	1	29	a	a	DET
bracis-19047	1	30	journal	journal	NOUN
bracis-19047	1	31	publish	publish	VERB
bracis-19047	1	32	with	with	ADP
bracis-19047	1	33	us	we	PRON
bracis-19047	1	34	track	track	VERB
bracis-19047	1	35	your	your	PRON
bracis-19047	1	36	research	research	NOUN
bracis-19047	1	37	search	search	NOUN
bracis-19047	1	38	cart	cart	NOUN
bracis-19047	1	39	home	home	NOUN
bracis-19047	1	40	intelligent	intelligent	ADJ
bracis-19047	1	41	systems	system	NOUN
bracis-19047	1	42	conference	conference	NOUN
bracis-19047	1	43	paper	paper	NOUN
bracis-19047	1	44	coarsening	coarsen	VERB
bracis-19047	1	45	algorithm	algorithm	NOUN
bracis-19047	1	46	via	via	ADP
bracis-19047	1	47	semi	semi	ADJ
bracis-19047	1	48	-	-	ADJ
bracis-19047	1	49	synchronous	synchronous	ADJ
bracis-19047	1	50	label	label	NOUN
bracis-19047	1	51	propagation	propagation	NOUN
bracis-19047	1	52	for	for	ADP
bracis-19047	1	53	bipartite	bipartite	PROPN
bracis-19047	1	54	networks	network	NOUN
bracis-19047	1	55	conference	conference	NOUN
bracis-19047	1	56	paper	paper	NOUN
bracis-19047	1	57	first	first	ADV
bracis-19047	1	58	online	online	ADV
bracis-19047	1	59	:	:	PUNCT
bracis-19047	1	60	28	28	NUM
bracis-19047	1	61	november	november	NOUN
bracis-19047	1	62	2021	2021	NUM
bracis-19047	1	63	pp	pp	ADP
bracis-19047	1	64	437–452	437–452	NUM
bracis-19047	1	65	cite	cite	VERB
bracis-19047	1	66	this	this	DET
bracis-19047	1	67	conference	conference	NOUN
bracis-19047	1	68	paper	paper	NOUN
bracis-19047	1	69	access	access	NOUN
bracis-19047	1	70	provided	provide	VERB
bracis-19047	1	71	by	by	ADP
bracis-19047	1	72	university	university	PROPN
bracis-19047	1	73	of	of	ADP
bracis-19047	1	74	notre	notre	PROPN
bracis-19047	1	75	dame	dame	PROPN
bracis-19047	1	76	hesburgh	hesburgh	PROPN
bracis-19047	1	77	library	library	PROPN
bracis-19047	1	78	download	download	PROPN
bracis-19047	1	79	book	book	NOUN
bracis-19047	1	80	pdf	pdf	PROPN
bracis-19047	1	81	download	download	NOUN
bracis-19047	1	82	book	book	NOUN
bracis-19047	1	83	epub	epub	PROPN
bracis-19047	1	84	intelligent	intelligent	ADJ
bracis-19047	1	85	systems	system	NOUN
bracis-19047	1	86	(	(	PUNCT
bracis-19047	1	87	bracis	bracis	NOUN
bracis-19047	1	88	2021	2021	NUM
bracis-19047	1	89	)	)	PUNCT
bracis-19047	1	90	coarsening	coarsen	VERB
bracis-19047	1	91	algorithm	algorithm	NOUN
bracis-19047	1	92	via	via	ADP
bracis-19047	1	93	semi	semi	ADJ
bracis-19047	1	94	-	-	ADJ
bracis-19047	1	95	synchronous	synchronous	ADJ
bracis-19047	1	96	label	label	NOUN
bracis-19047	1	97	propagation	propagation	NOUN
bracis-19047	1	98	for	for	ADP
bracis-19047	1	99	bipartite	bipartite	PROPN
bracis-19047	1	100	networks	network	NOUN
bracis-19047	1	101	download	download	NOUN
bracis-19047	1	102	book	book	NOUN
bracis-19047	1	103	pdf	pdf	PROPN
bracis-19047	1	104	download	download	NOUN
bracis-19047	1	105	book	book	PROPN
bracis-19047	1	106	epub	epub	PROPN
bracis-19047	1	107	alan	alan	PROPN
bracis-19047	1	108	demétrius	demétrius	PROPN
bracis-19047	1	109	baria	baria	PROPN
bracis-19047	1	110	valejo10	valejo10	PROPN
bracis-19047	1	111	,	,	PUNCT
bracis-19047	1	112	paulo	paulo	PROPN
bracis-19047	1	113	eduardo	eduardo	PROPN
bracis-19047	1	114	althoff11	althoff11	PROPN
bracis-19047	1	115	,	,	PUNCT
bracis-19047	1	116	thiago	thiago	PROPN
bracis-19047	1	117	de	de	PROPN
bracis-19047	1	118	paulo	paulo	PROPN
bracis-19047	1	119	 	 	SPACE
bracis-19047	1	120	faleiros11	faleiros11	NOUN
bracis-19047	1	121	,	,	PUNCT
bracis-19047	1	122	maria	maria	PROPN
bracis-19047	1	123	lígia	lígia	PROPN
bracis-19047	1	124	chuerubim12	chuerubim12	PROPN
bracis-19047	1	125	,	,	PUNCT
bracis-19047	1	126	jianglong	jianglong	PROPN
bracis-19047	1	127	yan13	yan13	PROPN
bracis-19047	1	128	,	,	PUNCT
bracis-19047	1	129	weiguang	weiguang	PROPN
bracis-19047	1	130	liu13	liu13	PROPN
bracis-19047	1	131	&	&	CCONJ
bracis-19047	1	132	…	…	PUNCT
bracis-19047	1	133	liang	liang	PROPN
bracis-19047	1	134	zhao14	zhao14	PROPN
bracis-19047	1	135	  	  	SPACE
bracis-19047	1	136	show	show	VERB
bracis-19047	1	137	authors	author	NOUN
bracis-19047	1	138	part	part	NOUN
bracis-19047	1	139	of	of	ADP
bracis-19047	1	140	the	the	DET
bracis-19047	1	141	book	book	NOUN
bracis-19047	1	142	series	series	NOUN
bracis-19047	1	143	:	:	PUNCT
bracis-19047	1	144	lecture	lecture	NOUN
bracis-19047	1	145	notes	note	NOUN
bracis-19047	1	146	in	in	ADP
bracis-19047	1	147	computer	computer	NOUN
bracis-19047	1	148	science	science	NOUN
bracis-19047	1	149	(	(	PUNCT
bracis-19047	1	150	(	(	PUNCT
bracis-19047	1	151	lnai	lnai	ADJ
bracis-19047	1	152	,	,	PUNCT
bracis-19047	1	153	volume	volume	NOUN
bracis-19047	1	154	13073	13073	NUM
bracis-19047	1	155	)	)	PUNCT
bracis-19047	1	156	)	)	PUNCT
bracis-19047	1	157	included	include	VERB
bracis-19047	1	158	in	in	ADP
bracis-19047	1	159	the	the	DET
bracis-19047	1	160	following	follow	VERB
bracis-19047	1	161	conference	conference	NOUN
bracis-19047	1	162	series	series	NOUN
bracis-19047	1	163	:	:	PUNCT
bracis-19047	1	164	brazilian	brazilian	ADJ
bracis-19047	1	165	conference	conference	NOUN
bracis-19047	1	166	on	on	ADP
bracis-19047	1	167	intelligent	intelligent	ADJ
bracis-19047	1	168	systems	system	NOUN
bracis-19047	1	169	751	751	NUM
bracis-19047	1	170	accesses	access	VERB
bracis-19047	1	171	3	3	NUM
bracis-19047	1	172	citations	citation	NOUN
bracis-19047	1	173	abstract	abstract	ADJ
bracis-19047	1	174	several	several	ADJ
bracis-19047	1	175	coarsening	coarsening	NOUN
bracis-19047	1	176	algorithms	algorithm	NOUN
bracis-19047	1	177	have	have	AUX
bracis-19047	1	178	been	be	AUX
bracis-19047	1	179	developed	develop	VERB
bracis-19047	1	180	as	as	ADP
bracis-19047	1	181	a	a	DET
bracis-19047	1	182	powerful	powerful	ADJ
bracis-19047	1	183	strategy	strategy	NOUN
bracis-19047	1	184	to	to	PART
bracis-19047	1	185	deal	deal	VERB
bracis-19047	1	186	with	with	ADP
bracis-19047	1	187	difficult	difficult	ADJ
bracis-19047	1	188	machine	machine	NOUN
bracis-19047	1	189	learning	learning	NOUN
bracis-19047	1	190	problems	problem	NOUN
bracis-19047	1	191	represented	represent	VERB
bracis-19047	1	192	by	by	ADP
bracis-19047	1	193	large	large	ADJ
bracis-19047	1	194	-	-	PUNCT
bracis-19047	1	195	scale	scale	NOUN
bracis-19047	1	196	networks	network	NOUN
bracis-19047	1	197	,	,	PUNCT
bracis-19047	1	198	including	include	VERB
bracis-19047	1	199	,	,	PUNCT
bracis-19047	1	200	network	network	NOUN
bracis-19047	1	201	visualization	visualization	NOUN
bracis-19047	1	202	,	,	PUNCT
bracis-19047	1	203	trajectory	trajectory	NOUN
bracis-19047	1	204	mining	mining	NOUN
bracis-19047	1	205	,	,	PUNCT
bracis-19047	1	206	community	community	NOUN
bracis-19047	1	207	detection	detection	NOUN
bracis-19047	1	208	and	and	CCONJ
bracis-19047	1	209	dimension	dimension	NOUN
bracis-19047	1	210	reduction	reduction	NOUN
bracis-19047	1	211	.	.	PUNCT
bracis-19047	2	1	it	it	PRON
bracis-19047	2	2	iteratively	iteratively	ADV
bracis-19047	2	3	reduces	reduce	VERB
bracis-19047	2	4	the	the	DET
bracis-19047	2	5	original	original	ADJ
bracis-19047	2	6	network	network	NOUN
bracis-19047	2	7	into	into	ADP
bracis-19047	2	8	a	a	DET
bracis-19047	2	9	hierarchy	hierarchy	NOUN
bracis-19047	2	10	of	of	ADP
bracis-19047	2	11	gradually	gradually	ADV
bracis-19047	2	12	smaller	small	ADJ
bracis-19047	2	13	informative	informative	ADJ
bracis-19047	2	14	representations	representation	NOUN
bracis-19047	2	15	.	.	PUNCT
bracis-19047	3	1	however	however	ADV
bracis-19047	3	2	,	,	PUNCT
bracis-19047	3	3	few	few	ADJ
bracis-19047	3	4	of	of	ADP
bracis-19047	3	5	these	these	DET
bracis-19047	3	6	algorithms	algorithm	NOUN
bracis-19047	3	7	have	have	AUX
bracis-19047	3	8	been	be	AUX
bracis-19047	3	9	specifically	specifically	ADV
bracis-19047	3	10	designed	design	VERB
bracis-19047	3	11	to	to	PART
bracis-19047	3	12	deal	deal	VERB
bracis-19047	3	13	with	with	ADP
bracis-19047	3	14	bipartite	bipartite	PROPN
bracis-19047	3	15	networks	network	NOUN
bracis-19047	3	16	and	and	CCONJ
bracis-19047	3	17	they	they	PRON
bracis-19047	3	18	still	still	ADV
bracis-19047	3	19	face	face	VERB
bracis-19047	3	20	theoretical	theoretical	ADJ
bracis-19047	3	21	limitations	limitation	NOUN
bracis-19047	3	22	that	that	PRON
bracis-19047	3	23	need	need	VERB
bracis-19047	3	24	to	to	PART
bracis-19047	3	25	be	be	AUX
bracis-19047	3	26	explored	explore	VERB
bracis-19047	3	27	.	.	PUNCT
bracis-19047	4	1	specifically	specifically	ADV
bracis-19047	4	2	,	,	PUNCT
bracis-19047	4	3	a	a	DET
bracis-19047	4	4	recently	recently	ADV
bracis-19047	4	5	introduced	introduce	VERB
bracis-19047	4	6	algorithm	algorithm	NOUN
bracis-19047	4	7	,	,	PUNCT
bracis-19047	4	8	called	call	VERB
bracis-19047	4	9	mlpb	mlpb	NOUN
bracis-19047	4	10	,	,	PUNCT
bracis-19047	4	11	is	be	AUX
bracis-19047	4	12	based	base	VERB
bracis-19047	4	13	on	on	ADP
bracis-19047	4	14	a	a	DET
bracis-19047	4	15	synchronous	synchronous	ADJ
bracis-19047	4	16	label	label	NOUN
bracis-19047	4	17	propagation	propagation	NOUN
bracis-19047	4	18	strategy	strategy	NOUN
bracis-19047	4	19	.	.	PUNCT
bracis-19047	5	1	in	in	ADP
bracis-19047	5	2	spite	spite	NOUN
bracis-19047	5	3	of	of	ADP
bracis-19047	5	4	an	an	DET
bracis-19047	5	5	interesting	interesting	ADJ
bracis-19047	5	6	approach	approach	NOUN
bracis-19047	5	7	,	,	PUNCT
bracis-19047	5	8	it	it	PRON
bracis-19047	5	9	presents	present	VERB
bracis-19047	5	10	the	the	DET
bracis-19047	5	11	following	follow	VERB
bracis-19047	5	12	two	two	NUM
bracis-19047	5	13	problems	problem	NOUN
bracis-19047	5	14	:	:	PUNCT
bracis-19047	5	15	1	1	X
bracis-19047	5	16	)	)	PUNCT
bracis-19047	5	17	a	a	DET
bracis-19047	5	18	high	high	ADJ
bracis-19047	5	19	-	-	PUNCT
bracis-19047	5	20	cost	cost	NOUN
bracis-19047	5	21	search	search	NOUN
bracis-19047	5	22	strategy	strategy	NOUN
bracis-19047	5	23	in	in	ADP
bracis-19047	5	24	dense	dense	ADJ
bracis-19047	5	25	networks	network	NOUN
bracis-19047	5	26	and	and	CCONJ
bracis-19047	5	27	2	2	NUM
bracis-19047	5	28	)	)	PUNCT
bracis-19047	5	29	the	the	DET
bracis-19047	5	30	cyclic	cyclic	ADJ
bracis-19047	5	31	oscillation	oscillation	NOUN
bracis-19047	5	32	problem	problem	NOUN
bracis-19047	5	33	yielded	yield	VERB
bracis-19047	5	34	by	by	ADP
bracis-19047	5	35	the	the	DET
bracis-19047	5	36	synchronous	synchronous	ADJ
bracis-19047	5	37	propagation	propagation	NOUN
bracis-19047	5	38	scheme	scheme	NOUN
bracis-19047	5	39	.	.	PUNCT
bracis-19047	6	1	in	in	ADP
bracis-19047	6	2	this	this	DET
bracis-19047	6	3	paper	paper	NOUN
bracis-19047	6	4	,	,	PUNCT
bracis-19047	6	5	we	we	PRON
bracis-19047	6	6	address	address	VERB
bracis-19047	6	7	these	these	DET
bracis-19047	6	8	issues	issue	NOUN
bracis-19047	6	9	and	and	CCONJ
bracis-19047	6	10	propose	propose	VERB
bracis-19047	6	11	a	a	DET
bracis-19047	6	12	novel	novel	ADJ
bracis-19047	6	13	fast	fast	ADJ
bracis-19047	6	14	coarsening	coarsen	VERB
bracis-19047	6	15	algorithm	algorithm	NOUN
bracis-19047	6	16	more	more	ADV
bracis-19047	6	17	suitable	suitable	ADJ
bracis-19047	6	18	for	for	ADP
bracis-19047	6	19	large	large	ADJ
bracis-19047	6	20	-	-	PUNCT
bracis-19047	6	21	scale	scale	NOUN
bracis-19047	6	22	bipartite	bipartite	NOUN
bracis-19047	6	23	networks	network	NOUN
bracis-19047	6	24	.	.	PUNCT
bracis-19047	7	1	our	our	PRON
bracis-19047	7	2	proposal	proposal	NOUN
bracis-19047	7	3	introduces	introduce	VERB
bracis-19047	7	4	a	a	DET
bracis-19047	7	5	semi	semi	ADJ
bracis-19047	7	6	-	-	ADJ
bracis-19047	7	7	synchronous	synchronous	ADJ
bracis-19047	7	8	strategy	strategy	NOUN
bracis-19047	7	9	via	via	ADP
bracis-19047	7	10	cross	cross	NOUN
bracis-19047	7	11	-	-	NOUN
bracis-19047	7	12	propagation	propagation	NOUN
bracis-19047	7	13	,	,	PUNCT
bracis-19047	7	14	which	which	PRON
bracis-19047	7	15	allows	allow	VERB
bracis-19047	7	16	a	a	DET
bracis-19047	7	17	time	time	NOUN
bracis-19047	7	18	-	-	PUNCT
bracis-19047	7	19	effective	effective	ADJ
bracis-19047	7	20	implementation	implementation	NOUN
bracis-19047	7	21	and	and	CCONJ
bracis-19047	7	22	deeply	deeply	ADV
bracis-19047	7	23	reduces	reduce	VERB
bracis-19047	7	24	the	the	DET
bracis-19047	7	25	oscillation	oscillation	NOUN
bracis-19047	7	26	phenomenon	phenomenon	NOUN
bracis-19047	7	27	.	.	PUNCT
bracis-19047	8	1	the	the	DET
bracis-19047	8	2	empirical	empirical	ADJ
bracis-19047	8	3	analysis	analysis	NOUN
bracis-19047	8	4	in	in	ADP
bracis-19047	8	5	both	both	CCONJ
bracis-19047	8	6	synthetic	synthetic	ADJ
bracis-19047	8	7	networks	network	NOUN
bracis-19047	8	8	and	and	CCONJ
bracis-19047	8	9	real	real	ADJ
bracis-19047	8	10	-	-	PUNCT
bracis-19047	8	11	world	world	NOUN
bracis-19047	8	12	networks	network	NOUN
bracis-19047	8	13	shows	show	VERB
bracis-19047	8	14	that	that	SCONJ
bracis-19047	8	15	our	our	PRON
bracis-19047	8	16	coarsening	coarsen	VERB
bracis-19047	8	17	strategy	strategy	NOUN
bracis-19047	8	18	outperforms	outperform	VERB
bracis-19047	8	19	previous	previous	ADJ
bracis-19047	8	20	approaches	approach	NOUN
bracis-19047	8	21	regarding	regard	VERB
bracis-19047	8	22	accuracy	accuracy	NOUN
bracis-19047	8	23	and	and	CCONJ
bracis-19047	8	24	runtime	runtime	NOUN
bracis-19047	8	25	.	.	PUNCT
bracis-19047	9	1	this	this	DET
bracis-19047	9	2	work	work	NOUN
bracis-19047	9	3	was	be	AUX
bracis-19047	9	4	carried	carry	VERB
bracis-19047	9	5	out	out	ADP
bracis-19047	9	6	at	at	ADP
bracis-19047	9	7	the	the	DET
bracis-19047	9	8	center	center	NOUN
bracis-19047	9	9	for	for	ADP
bracis-19047	9	10	artificial	artificial	ADJ
bracis-19047	9	11	intelligence	intelligence	NOUN
bracis-19047	9	12	(	(	PUNCT
bracis-19047	9	13	c4ai	c4ai	NOUN
bracis-19047	9	14	-	-	PUNCT
bracis-19047	9	15	usp	usp	NOUN
bracis-19047	9	16	)	)	PUNCT
bracis-19047	9	17	,	,	PUNCT
bracis-19047	9	18	with	with	ADP
bracis-19047	9	19	support	support	NOUN
bracis-19047	9	20	by	by	ADP
bracis-19047	9	21	the	the	DET
bracis-19047	9	22	são	são	PROPN
bracis-19047	9	23	paulo	paulo	PROPN
bracis-19047	9	24	research	research	PROPN
bracis-19047	9	25	foundation	foundation	PROPN
bracis-19047	9	26	(	(	PUNCT
bracis-19047	9	27	fapesp	fapesp	NOUN
bracis-19047	9	28	)	)	PUNCT
bracis-19047	9	29	under	under	ADP
bracis-19047	9	30	grant	grant	NOUN
bracis-19047	9	31	number	number	NOUN
bracis-19047	9	32	:	:	PUNCT
bracis-19047	9	33	2019/07665	2019/07665	NUM
bracis-19047	9	34	-	-	SYM
bracis-19047	9	35	4	4	NUM
bracis-19047	9	36	and	and	CCONJ
bracis-19047	9	37	by	by	ADP
bracis-19047	9	38	the	the	DET
bracis-19047	9	39	ibm	ibm	PROPN
bracis-19047	9	40	corporation	corporation	NOUN
bracis-19047	9	41	.	.	PUNCT
bracis-19047	10	1	this	this	DET
bracis-19047	10	2	work	work	NOUN
bracis-19047	10	3	is	be	AUX
bracis-19047	10	4	also	also	ADV
bracis-19047	10	5	supported	support	VERB
bracis-19047	10	6	in	in	ADP
bracis-19047	10	7	part	part	NOUN
bracis-19047	10	8	by	by	ADP
bracis-19047	10	9	fapesp	fapesp	NOUN
bracis-19047	10	10	under	under	ADP
bracis-19047	10	11	grant	grant	NOUN
bracis-19047	10	12	numbers	number	NOUN
bracis-19047	10	13	2013/07375	2013/07375	NUM
bracis-19047	10	14	-	-	SYM
bracis-19047	10	15	0	0	NUM
bracis-19047	10	16	,	,	PUNCT
bracis-19047	10	17	2015/50122	2015/50122	NUM
bracis-19047	10	18	-	-	SYM
bracis-19047	10	19	0	0	NUM
bracis-19047	10	20	and	and	CCONJ
bracis-19047	10	21	2019/14429	2019/14429	NUM
bracis-19047	10	22	-	-	SYM
bracis-19047	10	23	5	5	NUM
bracis-19047	10	24	,	,	PUNCT
bracis-19047	10	25	the	the	DET
bracis-19047	10	26	brazilian	brazilian	ADJ
bracis-19047	10	27	national	national	PROPN
bracis-19047	10	28	council	council	PROPN
bracis-19047	10	29	for	for	ADP
bracis-19047	10	30	scientific	scientific	ADJ
bracis-19047	10	31	and	and	CCONJ
bracis-19047	10	32	technological	technological	ADJ
bracis-19047	10	33	development	development	NOUN
bracis-19047	10	34	(	(	PUNCT
bracis-19047	10	35	cnpq	cnpq	NOUN
bracis-19047	10	36	)	)	PUNCT
bracis-19047	10	37	under	under	ADP
bracis-19047	10	38	grant	grant	NOUN
bracis-19047	10	39	number	number	NOUN
bracis-19047	10	40	303199/2019	303199/2019	NUM
bracis-19047	10	41	-	-	SYM
bracis-19047	10	42	9	9	NUM
bracis-19047	10	43	,	,	PUNCT
bracis-19047	10	44	and	and	CCONJ
bracis-19047	10	45	the	the	DET
bracis-19047	10	46	ministry	ministry	PROPN
bracis-19047	10	47	of	of	ADP
bracis-19047	10	48	science	science	NOUN
bracis-19047	10	49	and	and	CCONJ
bracis-19047	10	50	technology	technology	NOUN
bracis-19047	10	51	of	of	ADP
bracis-19047	10	52	china	china	PROPN
bracis-19047	10	53	under	under	ADP
bracis-19047	10	54	grant	grant	NOUN
bracis-19047	10	55	number	number	NOUN
bracis-19047	10	56	:	:	PUNCT
bracis-19047	10	57	g20200226015	g20200226015	PROPN
bracis-19047	10	58	.	.	PUNCT
bracis-19047	10	59	access	access	NOUN
bracis-19047	10	60	provided	provide	VERB
bracis-19047	10	61	by	by	ADP
bracis-19047	10	62	university	university	PROPN
bracis-19047	10	63	of	of	ADP
bracis-19047	10	64	notre	notre	PROPN
bracis-19047	10	65	dame	dame	PROPN
bracis-19047	10	66	hesburgh	hesburgh	PROPN
bracis-19047	10	67	library	library	PROPN
bracis-19047	10	68	.	.	PUNCT
bracis-19047	11	1	download	download	PROPN
bracis-19047	11	2	conference	conference	NOUN
bracis-19047	11	3	paper	paper	NOUN
bracis-19047	11	4	pdf	pdf	NOUN
bracis-19047	11	5	similar	similar	ADJ
bracis-19047	11	6	content	content	NOUN
bracis-19047	11	7	being	be	AUX
bracis-19047	11	8	viewed	view	VERB
bracis-19047	11	9	by	by	ADP
bracis-19047	11	10	others	other	NOUN
bracis-19047	11	11	a	a	DET
bracis-19047	11	12	review	review	NOUN
bracis-19047	11	13	and	and	CCONJ
bracis-19047	11	14	comparative	comparative	ADJ
bracis-19047	11	15	analysis	analysis	NOUN
bracis-19047	11	16	of	of	ADP
bracis-19047	11	17	coarsening	coarsen	VERB
bracis-19047	11	18	algorithms	algorithm	NOUN
bracis-19047	11	19	on	on	ADP
bracis-19047	11	20	bipartite	bipartite	PROPN
bracis-19047	11	21	networks	network	NOUN
bracis-19047	11	22	article	article	NOUN
bracis-19047	11	23	07	07	NUM
bracis-19047	11	24	june	june	PROPN
bracis-19047	11	25	2021	2021	NUM
bracis-19047	11	26	community	community	NOUN
bracis-19047	11	27	detection	detection	NOUN
bracis-19047	11	28	in	in	ADP
bracis-19047	11	29	bipartite	bipartite	ADJ
bracis-19047	11	30	network	network	NOUN
bracis-19047	11	31	:	:	PUNCT
bracis-19047	11	32	a	a	DET
bracis-19047	11	33	modified	modify	VERB
bracis-19047	11	34	coarsening	coarsen	VERB
bracis-19047	11	35	approach	approach	NOUN
bracis-19047	11	36	chapter	chapter	NOUN
bracis-19047	11	37	©	©	PROPN
bracis-19047	11	38	2018	2018	NUM
bracis-19047	11	39	analyzing	analyze	VERB
bracis-19047	11	40	the	the	DET
bracis-19047	11	41	 	 	SPACE
bracis-19047	11	42	impact	impact	NOUN
bracis-19047	11	43	of	of	ADP
bracis-19047	11	44	 	 	SPACE
bracis-19047	11	45	coarsening	coarsen	VERB
bracis-19047	11	46	on	on	ADP
bracis-19047	11	47	 	 	SPACE
bracis-19047	11	48	k	k	ADJ
bracis-19047	11	49	-	-	ADJ
bracis-19047	11	50	partite	partite	ADJ
bracis-19047	11	51	network	network	NOUN
bracis-19047	11	52	classification	classification	NOUN
bracis-19047	11	53	chapter	chapter	NOUN
bracis-19047	11	54	©	©	PROPN
bracis-19047	11	55	2025	2025	NUM
bracis-19047	11	56	explore	explore	VERB
bracis-19047	11	57	related	relate	VERB
bracis-19047	11	58	subjects	subject	NOUN
bracis-19047	11	59	discover	discover	VERB
bracis-19047	11	60	the	the	DET
bracis-19047	11	61	latest	late	ADJ
bracis-19047	11	62	articles	article	NOUN
bracis-19047	11	63	,	,	PUNCT
bracis-19047	11	64	books	book	NOUN
bracis-19047	11	65	and	and	CCONJ
bracis-19047	11	66	news	news	NOUN
bracis-19047	11	67	in	in	ADP
bracis-19047	11	68	related	related	ADJ
bracis-19047	11	69	subjects	subject	NOUN
bracis-19047	11	70	,	,	PUNCT
bracis-19047	11	71	suggested	suggest	VERB
bracis-19047	11	72	using	use	VERB
bracis-19047	11	73	machine	machine	NOUN
bracis-19047	11	74	learning	learning	NOUN
bracis-19047	11	75	.	.	PUNCT
bracis-19047	12	1	coarse	coarse	NOUN
bracis-19047	12	2	-	-	PUNCT
bracis-19047	12	3	grained	grain	VERB
bracis-19047	12	4	models	model	NOUN
bracis-19047	12	5	complex	complex	ADJ
bracis-19047	12	6	networks	network	NOUN
bracis-19047	12	7	dynamic	dynamic	ADJ
bracis-19047	12	8	networks	network	NOUN
bracis-19047	12	9	network	network	NOUN
bracis-19047	12	10	topology	topology	NOUN
bracis-19047	12	11	network	network	NOUN
bracis-19047	12	12	models	model	NOUN
bracis-19047	12	13	stochastic	stochastic	ADJ
bracis-19047	12	14	networks	network	NOUN
bracis-19047	12	15	1	1	NUM
bracis-19047	12	16	introduction	introduction	NOUN
bracis-19047	12	17	bipartite	bipartite	PROPN
bracis-19047	12	18	networks	network	NOUN
bracis-19047	12	19	are	be	AUX
bracis-19047	12	20	a	a	DET
bracis-19047	12	21	broadly	broadly	ADV
bracis-19047	12	22	pervasive	pervasive	ADJ
bracis-19047	12	23	class	class	NOUN
bracis-19047	12	24	of	of	ADP
bracis-19047	12	25	networks	network	NOUN
bracis-19047	12	26	,	,	PUNCT
bracis-19047	12	27	also	also	ADV
bracis-19047	12	28	known	know	VERB
bracis-19047	12	29	as	as	ADP
bracis-19047	12	30	two	two	NUM
bracis-19047	12	31	-	-	PUNCT
bracis-19047	12	32	layer	layer	NOUN
bracis-19047	12	33	networks	network	NOUN
bracis-19047	12	34	,	,	PUNCT
bracis-19047	12	35	where	where	SCONJ
bracis-19047	12	36	the	the	DET
bracis-19047	12	37	set	set	NOUN
bracis-19047	12	38	of	of	ADP
bracis-19047	12	39	nodes	node	NOUN
bracis-19047	12	40	is	be	AUX
bracis-19047	12	41	split	split	VERB
bracis-19047	12	42	into	into	ADP
bracis-19047	12	43	two	two	NUM
bracis-19047	12	44	disjoint	disjoint	NOUN
bracis-19047	12	45	subsets	subset	NOUN
bracis-19047	12	46	called	call	VERB
bracis-19047	12	47	“	"	PUNCT
bracis-19047	12	48	layers	layer	NOUN
bracis-19047	12	49	”	"	PUNCT
bracis-19047	12	50	and	and	CCONJ
bracis-19047	12	51	links	link	NOUN
bracis-19047	12	52	can	can	AUX
bracis-19047	12	53	connect	connect	VERB
bracis-19047	12	54	only	only	ADV
bracis-19047	12	55	nodes	node	NOUN
bracis-19047	12	56	of	of	ADP
bracis-19047	12	57	different	different	ADJ
bracis-19047	12	58	layers	layer	NOUN
bracis-19047	12	59	.	.	PUNCT
bracis-19047	13	1	these	these	DET
bracis-19047	13	2	networks	network	NOUN
bracis-19047	13	3	are	be	AUX
bracis-19047	13	4	widely	widely	ADV
bracis-19047	13	5	used	use	VERB
bracis-19047	13	6	in	in	ADP
bracis-19047	13	7	science	science	NOUN
bracis-19047	13	8	and	and	CCONJ
bracis-19047	13	9	technology	technology	NOUN
bracis-19047	13	10	to	to	PART
bracis-19047	13	11	represent	represent	VERB
bracis-19047	13	12	pairwise	pairwise	NOUN
bracis-19047	13	13	relationship	relationship	NOUN
bracis-19047	13	14	between	between	ADP
bracis-19047	13	15	categories	category	NOUN
bracis-19047	13	16	of	of	ADP
bracis-19047	13	17	entities	entity	NOUN
bracis-19047	13	18	,	,	PUNCT
bracis-19047	13	19	e.g.	e.g.	ADV
bracis-19047	13	20	documents	document	NOUN
bracis-19047	13	21	and	and	CCONJ
bracis-19047	13	22	terms	term	NOUN
bracis-19047	13	23	,	,	PUNCT
bracis-19047	13	24	patient	patient	ADJ
bracis-19047	13	25	and	and	CCONJ
bracis-19047	13	26	gene	gene	NOUN
bracis-19047	13	27	expression	expression	NOUN
bracis-19047	13	28	(	(	PUNCT
bracis-19047	13	29	or	or	CCONJ
bracis-19047	13	30	clinical	clinical	ADJ
bracis-19047	13	31	variables	variable	NOUN
bracis-19047	13	32	)	)	PUNCT
bracis-19047	13	33	or	or	CCONJ
bracis-19047	13	34	scientific	scientific	ADJ
bracis-19047	13	35	papers	paper	NOUN
bracis-19047	13	36	and	and	CCONJ
bracis-19047	13	37	their	their	PRON
bracis-19047	13	38	authors	author	NOUN
bracis-19047	13	39	[	[	X
bracis-19047	13	40	17	17	NUM
bracis-19047	13	41	,	,	PUNCT
bracis-19047	13	42	19	19	NUM
bracis-19047	13	43	]	]	PUNCT
bracis-19047	13	44	.	.	PUNCT
bracis-19047	14	1	over	over	ADP
bracis-19047	14	2	the	the	DET
bracis-19047	14	3	last	last	ADJ
bracis-19047	14	4	years	year	NOUN
bracis-19047	14	5	,	,	PUNCT
bracis-19047	14	6	there	there	PRON
bracis-19047	14	7	has	have	AUX
bracis-19047	14	8	been	be	AUX
bracis-19047	14	9	a	a	DET
bracis-19047	14	10	growing	grow	VERB
bracis-19047	14	11	scientific	scientific	ADJ
bracis-19047	14	12	interest	interest	NOUN
bracis-19047	14	13	in	in	ADP
bracis-19047	14	14	bipartite	bipartite	PROPN
bracis-19047	14	15	networks	network	NOUN
bracis-19047	14	16	given	give	VERB
bracis-19047	14	17	their	their	PRON
bracis-19047	14	18	occurrence	occurrence	NOUN
bracis-19047	14	19	in	in	ADP
bracis-19047	14	20	many	many	ADJ
bracis-19047	14	21	data	datum	NOUN
bracis-19047	14	22	analytic	analytic	ADJ
bracis-19047	14	23	problems	problem	NOUN
bracis-19047	14	24	,	,	PUNCT
bracis-19047	14	25	such	such	ADJ
bracis-19047	14	26	as	as	ADP
bracis-19047	14	27	community	community	NOUN
bracis-19047	14	28	detection	detection	NOUN
bracis-19047	14	29	and	and	CCONJ
bracis-19047	14	30	text	text	NOUN
bracis-19047	14	31	classification	classification	NOUN
bracis-19047	14	32	.	.	PUNCT
bracis-19047	15	1	several	several	ADJ
bracis-19047	15	2	coarsening	coarsening	NOUN
bracis-19047	15	3	algorithms	algorithm	NOUN
bracis-19047	15	4	have	have	AUX
bracis-19047	15	5	been	be	AUX
bracis-19047	15	6	proposed	propose	VERB
bracis-19047	15	7	as	as	ADP
bracis-19047	15	8	a	a	DET
bracis-19047	15	9	scalable	scalable	ADJ
bracis-19047	15	10	strategy	strategy	NOUN
bracis-19047	15	11	to	to	PART
bracis-19047	15	12	address	address	VERB
bracis-19047	15	13	hard	hard	ADJ
bracis-19047	15	14	machine	machine	NOUN
bracis-19047	15	15	learning	learn	VERB
bracis-19047	15	16	problems	problem	NOUN
bracis-19047	15	17	in	in	ADP
bracis-19047	15	18	networks	network	NOUN
bracis-19047	15	19	,	,	PUNCT
bracis-19047	15	20	including	include	VERB
bracis-19047	15	21	network	network	NOUN
bracis-19047	15	22	visualization	visualization	NOUN
bracis-19047	15	23	[	[	X
bracis-19047	15	24	29	29	NUM
bracis-19047	15	25	]	]	PUNCT
bracis-19047	15	26	,	,	PUNCT
bracis-19047	15	27	trajectory	trajectory	NOUN
bracis-19047	15	28	mining	mining	NOUN
bracis-19047	16	1	[	[	X
bracis-19047	16	2	15	15	NUM
bracis-19047	16	3	]	]	PUNCT
bracis-19047	16	4	,	,	PUNCT
bracis-19047	16	5	community	community	NOUN
bracis-19047	16	6	detection	detection	NOUN
bracis-19047	16	7	[	[	X
bracis-19047	16	8	30	30	NUM
bracis-19047	16	9	]	]	PUNCT
bracis-19047	16	10	and	and	CCONJ
bracis-19047	16	11	dimensionality	dimensionality	NOUN
bracis-19047	16	12	reduction	reduction	NOUN
bracis-19047	16	13	[	[	X
bracis-19047	16	14	21	21	NUM
bracis-19047	16	15	]	]	PUNCT
bracis-19047	16	16	.	.	PUNCT
bracis-19047	17	1	these	these	DET
bracis-19047	17	2	algorithms	algorithm	NOUN
bracis-19047	17	3	build	build	VERB
bracis-19047	17	4	a	a	DET
bracis-19047	17	5	hierarchy	hierarchy	NOUN
bracis-19047	17	6	of	of	ADP
bracis-19047	17	7	reduced	reduce	VERB
bracis-19047	17	8	networks	network	NOUN
bracis-19047	17	9	from	from	ADP
bracis-19047	17	10	an	an	DET
bracis-19047	17	11	initial	initial	ADJ
bracis-19047	17	12	problem	problem	NOUN
bracis-19047	17	13	instance	instance	NOUN
bracis-19047	17	14	,	,	PUNCT
bracis-19047	17	15	yielding	yield	VERB
bracis-19047	17	16	multiple	multiple	ADJ
bracis-19047	17	17	levels	level	NOUN
bracis-19047	17	18	-	-	PUNCT
bracis-19047	17	19	of	of	ADP
bracis-19047	17	20	-	-	PUNCT
bracis-19047	17	21	detail	detail	NOUN
bracis-19047	17	22	,	,	PUNCT
bracis-19047	17	23	fig	fig	NOUN
bracis-19047	17	24	.	.	PUNCT
bracis-19047	17	25	 	 	SPACE
bracis-19047	17	26	1	1	X
bracis-19047	17	27	.	.	PUNCT
bracis-19047	18	1	it	it	PRON
bracis-19047	18	2	is	be	AUX
bracis-19047	18	3	commonly	commonly	ADV
bracis-19047	18	4	used	use	VERB
bracis-19047	18	5	for	for	ADP
bracis-19047	18	6	generating	generate	VERB
bracis-19047	18	7	multiscale	multiscale	ADJ
bracis-19047	18	8	networks	network	NOUN
bracis-19047	18	9	and	and	CCONJ
bracis-19047	18	10	,	,	PUNCT
bracis-19047	18	11	most	most	ADV
bracis-19047	18	12	notably	notably	ADV
bracis-19047	18	13	,	,	PUNCT
bracis-19047	18	14	as	as	ADP
bracis-19047	18	15	a	a	DET
bracis-19047	18	16	step	step	NOUN
bracis-19047	18	17	of	of	ADP
bracis-19047	18	18	the	the	DET
bracis-19047	18	19	well	well	ADV
bracis-19047	18	20	-	-	PUNCT
bracis-19047	18	21	known	know	VERB
bracis-19047	18	22	multilevel	multilevel	NOUN
bracis-19047	18	23	method	method	NOUN
bracis-19047	18	24	.	.	PUNCT
bracis-19047	19	1	fig	fig	NOUN
bracis-19047	19	2	.	.	PUNCT
bracis-19047	20	1	1	1	X
bracis-19047	20	2	.	.	X
bracis-19047	20	3	coarsening	coarsening	NOUN
bracis-19047	20	4	process	process	NOUN
bracis-19047	20	5	.	.	PUNCT
bracis-19047	21	1	in	in	ADP
bracis-19047	21	2	(	(	PUNCT
bracis-19047	21	3	a	a	X
bracis-19047	21	4	)	)	PUNCT
bracis-19047	21	5	,	,	PUNCT
bracis-19047	21	6	group	group	NOUN
bracis-19047	21	7	of	of	ADP
bracis-19047	21	8	nodes	node	NOUN
bracis-19047	21	9	are	be	AUX
bracis-19047	21	10	matched	match	VERB
bracis-19047	21	11	;	;	PUNCT
bracis-19047	21	12	in	in	ADP
bracis-19047	21	13	(	(	PUNCT
bracis-19047	21	14	b	b	NOUN
bracis-19047	21	15	)	)	PUNCT
bracis-19047	21	16	,	,	PUNCT
bracis-19047	21	17	the	the	DET
bracis-19047	21	18	original	original	ADJ
bracis-19047	21	19	network	network	NOUN
bracis-19047	21	20	is	be	AUX
bracis-19047	21	21	coarsened	coarsen	VERB
bracis-19047	21	22	,	,	PUNCT
bracis-19047	21	23	i.e.	i.e.	ADV
bracis-19047	21	24	,	,	PUNCT
bracis-19047	21	25	matched	match	VERB
bracis-19047	21	26	nodes	node	NOUN
bracis-19047	21	27	are	be	AUX
bracis-19047	21	28	collapsed	collapse	VERB
bracis-19047	21	29	into	into	ADP
bracis-19047	21	30	a	a	DET
bracis-19047	21	31	super	super	ADJ
bracis-19047	21	32	-	-	ADJ
bracis-19047	21	33	node	node	ADJ
bracis-19047	21	34	and	and	CCONJ
bracis-19047	21	35	links	link	NOUN
bracis-19047	21	36	incident	incident	NOUN
bracis-19047	21	37	in	in	ADP
bracis-19047	21	38	matched	match	VERB
bracis-19047	21	39	nodes	node	NOUN
bracis-19047	21	40	are	be	AUX
bracis-19047	21	41	collapsed	collapse	VERB
bracis-19047	21	42	into	into	ADP
bracis-19047	21	43	super	super	NOUN
bracis-19047	21	44	-	-	ADJ
bracis-19047	21	45	edges	edge	NOUN
bracis-19047	21	46	;	;	PUNCT
bracis-19047	21	47	the	the	DET
bracis-19047	21	48	coarsest	coarse	ADJ
bracis-19047	21	49	network	network	NOUN
bracis-19047	21	50	is	be	AUX
bracis-19047	21	51	illustrated	illustrate	VERB
bracis-19047	21	52	in	in	ADP
bracis-19047	21	53	(	(	PUNCT
bracis-19047	21	54	c	c	NOUN
bracis-19047	21	55	)	)	PUNCT
bracis-19047	21	56	.	.	PUNCT
bracis-19047	22	1	the	the	DET
bracis-19047	22	2	coarsening	coarsening	NOUN
bracis-19047	22	3	process	process	NOUN
bracis-19047	22	4	is	be	AUX
bracis-19047	22	5	repeated	repeat	VERB
bracis-19047	22	6	,	,	PUNCT
bracis-19047	22	7	level	level	NOUN
bracis-19047	22	8	by	by	ADP
bracis-19047	22	9	level	level	NOUN
bracis-19047	22	10	,	,	PUNCT
bracis-19047	22	11	until	until	SCONJ
bracis-19047	22	12	the	the	DET
bracis-19047	22	13	desired	desire	VERB
bracis-19047	22	14	network	network	NOUN
bracis-19047	22	15	size	size	NOUN
bracis-19047	22	16	is	be	AUX
bracis-19047	22	17	reached	reach	VERB
bracis-19047	22	18	.	.	PUNCT
bracis-19047	23	1	full	full	ADJ
bracis-19047	23	2	size	size	NOUN
bracis-19047	23	3	image	image	NOUN
bracis-19047	23	4	however	however	ADV
bracis-19047	23	5	,	,	PUNCT
bracis-19047	23	6	only	only	ADV
bracis-19047	23	7	a	a	DET
bracis-19047	23	8	few	few	ADJ
bracis-19047	23	9	coarsening	coarsening	NOUN
bracis-19047	23	10	algorithms	algorithm	NOUN
bracis-19047	23	11	have	have	AUX
bracis-19047	23	12	been	be	AUX
bracis-19047	23	13	specifically	specifically	ADV
bracis-19047	23	14	designed	design	VERB
bracis-19047	23	15	to	to	PART
bracis-19047	23	16	deal	deal	VERB
bracis-19047	23	17	with	with	ADP
bracis-19047	23	18	bipartite	bipartite	PROPN
bracis-19047	23	19	networks	network	NOUN
bracis-19047	23	20	,	,	PUNCT
bracis-19047	23	21	as	as	SCONJ
bracis-19047	23	22	showed	show	VERB
bracis-19047	23	23	in	in	ADP
bracis-19047	23	24	a	a	DET
bracis-19047	23	25	recent	recent	ADJ
bracis-19047	23	26	survey	survey	NOUN
bracis-19047	23	27	[	[	X
bracis-19047	23	28	28	28	NUM
bracis-19047	23	29	]	]	PUNCT
bracis-19047	23	30	,	,	PUNCT
bracis-19047	23	31	and	and	CCONJ
bracis-19047	23	32	they	they	PRON
bracis-19047	23	33	still	still	ADV
bracis-19047	23	34	face	face	VERB
bracis-19047	23	35	theoretical	theoretical	ADJ
bracis-19047	23	36	limitations	limitation	NOUN
bracis-19047	23	37	that	that	PRON
bracis-19047	23	38	open	open	VERB
bracis-19047	23	39	for	for	ADP
bracis-19047	23	40	scientific	scientific	ADJ
bracis-19047	23	41	investigation	investigation	NOUN
bracis-19047	23	42	.	.	PUNCT
bracis-19047	24	1	specifically	specifically	ADV
bracis-19047	24	2	,	,	PUNCT
bracis-19047	24	3	a	a	DET
bracis-19047	24	4	recently	recently	ADV
bracis-19047	24	5	introduced	introduce	VERB
bracis-19047	24	6	algorithm	algorithm	NOUN
bracis-19047	24	7	,	,	PUNCT
bracis-19047	24	8	proposed	propose	VERB
bracis-19047	24	9	in	in	ADP
bracis-19047	24	10	[	[	X
bracis-19047	24	11	24	24	NUM
bracis-19047	24	12	]	]	PUNCT
bracis-19047	24	13	,	,	PUNCT
bracis-19047	24	14	called	call	VERB
bracis-19047	24	15	mlpb	mlpb	NOUN
bracis-19047	24	16	,	,	PUNCT
bracis-19047	24	17	is	be	AUX
bracis-19047	24	18	based	base	VERB
bracis-19047	24	19	on	on	ADP
bracis-19047	24	20	a	a	DET
bracis-19047	24	21	label	label	NOUN
bracis-19047	24	22	propagation	propagation	NOUN
bracis-19047	24	23	strategy	strategy	NOUN
bracis-19047	24	24	that	that	PRON
bracis-19047	24	25	uses	use	VERB
bracis-19047	24	26	the	the	DET
bracis-19047	24	27	diffusion	diffusion	NOUN
bracis-19047	24	28	of	of	ADP
bracis-19047	24	29	information	information	NOUN
bracis-19047	24	30	to	to	PART
bracis-19047	24	31	build	build	VERB
bracis-19047	24	32	a	a	DET
bracis-19047	24	33	hierarchy	hierarchy	NOUN
bracis-19047	24	34	of	of	ADP
bracis-19047	24	35	informative	informative	ADJ
bracis-19047	24	36	simplified	simplified	ADJ
bracis-19047	24	37	representations	representation	NOUN
bracis-19047	24	38	of	of	ADP
bracis-19047	24	39	the	the	DET
bracis-19047	24	40	original	original	ADJ
bracis-19047	24	41	network	network	NOUN
bracis-19047	24	42	.	.	PUNCT
bracis-19047	25	1	it	it	PRON
bracis-19047	25	2	implements	implement	VERB
bracis-19047	25	3	a	a	DET
bracis-19047	25	4	high	high	ADJ
bracis-19047	25	5	time	time	NOUN
bracis-19047	25	6	-	-	PUNCT
bracis-19047	25	7	cost	cost	NOUN
bracis-19047	25	8	strategy	strategy	NOUN
bracis-19047	25	9	that	that	PRON
bracis-19047	25	10	searches	search	VERB
bracis-19047	25	11	the	the	DET
bracis-19047	25	12	whole	whole	ADJ
bracis-19047	25	13	two	two	NUM
bracis-19047	25	14	-	-	PUNCT
bracis-19047	25	15	hop	hop	NOUN
bracis-19047	25	16	neighborhood	neighborhood	NOUN
bracis-19047	25	17	of	of	ADP
bracis-19047	25	18	each	each	DET
bracis-19047	25	19	node	node	NOUN
bracis-19047	25	20	,	,	PUNCT
bracis-19047	25	21	which	which	PRON
bracis-19047	25	22	limits	limit	VERB
bracis-19047	25	23	its	its	PRON
bracis-19047	25	24	use	use	NOUN
bracis-19047	25	25	to	to	PART
bracis-19047	25	26	sparse	sparse	VERB
bracis-19047	25	27	networks	network	NOUN
bracis-19047	25	28	with	with	ADP
bracis-19047	25	29	a	a	DET
bracis-19047	25	30	low	low	ADJ
bracis-19047	25	31	link	link	NOUN
bracis-19047	25	32	-	-	PUNCT
bracis-19047	25	33	density	density	NOUN
bracis-19047	25	34	.	.	PUNCT
bracis-19047	26	1	as	as	ADP
bracis-19047	26	2	an	an	DET
bracis-19047	26	3	additional	additional	ADJ
bracis-19047	26	4	limitation	limitation	NOUN
bracis-19047	26	5	,	,	PUNCT
bracis-19047	26	6	mlpb	mlpb	PROPN
bracis-19047	26	7	uses	use	VERB
bracis-19047	26	8	a	a	DET
bracis-19047	26	9	synchronous	synchronous	ADJ
bracis-19047	26	10	strategy	strategy	NOUN
bracis-19047	26	11	which	which	PRON
bracis-19047	26	12	is	be	AUX
bracis-19047	26	13	known	know	VERB
bracis-19047	26	14	to	to	PART
bracis-19047	26	15	yield	yield	VERB
bracis-19047	26	16	a	a	DET
bracis-19047	26	17	cyclic	cyclic	ADJ
bracis-19047	26	18	oscillation	oscillation	NOUN
bracis-19047	26	19	problem	problem	NOUN
bracis-19047	26	20	in	in	ADP
bracis-19047	26	21	some	some	DET
bracis-19047	26	22	topological	topological	ADJ
bracis-19047	26	23	structures	structure	NOUN
bracis-19047	26	24	,	,	PUNCT
bracis-19047	26	25	as	as	ADP
bracis-19047	26	26	bipartite	bipartite	ADJ
bracis-19047	26	27	components	component	NOUN
bracis-19047	26	28	.	.	PUNCT
bracis-19047	27	1	to	to	PART
bracis-19047	27	2	overcome	overcome	VERB
bracis-19047	27	3	these	these	DET
bracis-19047	27	4	issues	issue	NOUN
bracis-19047	27	5	,	,	PUNCT
bracis-19047	27	6	we	we	PRON
bracis-19047	27	7	propose	propose	VERB
bracis-19047	27	8	a	a	DET
bracis-19047	27	9	novel	novel	ADJ
bracis-19047	27	10	fast	fast	ADJ
bracis-19047	27	11	coarsening	coarsen	VERB
bracis-19047	27	12	algorithm	algorithm	NOUN
bracis-19047	27	13	based	base	VERB
bracis-19047	27	14	on	on	ADP
bracis-19047	27	15	the	the	DET
bracis-19047	27	16	cross	cross	ADJ
bracis-19047	27	17	-	-	ADJ
bracis-19047	27	18	propagation	propagation	NOUN
bracis-19047	27	19	concept	concept	NOUN
bracis-19047	27	20	suitable	suitable	ADJ
bracis-19047	27	21	for	for	ADP
bracis-19047	27	22	large	large	ADJ
bracis-19047	27	23	-	-	PUNCT
bracis-19047	27	24	scale	scale	NOUN
bracis-19047	27	25	bipartite	bipartite	NOUN
bracis-19047	27	26	networks	network	NOUN
bracis-19047	27	27	.	.	PUNCT
bracis-19047	28	1	specifically	specifically	ADV
bracis-19047	28	2	,	,	PUNCT
bracis-19047	28	3	two	two	NUM
bracis-19047	28	4	-	-	ADJ
bracis-19047	28	5	fold	fold	ADJ
bracis-19047	28	6	contribution	contribution	NOUN
bracis-19047	28	7	:	:	PUNCT
bracis-19047	28	8	we	we	PRON
bracis-19047	28	9	design	design	VERB
bracis-19047	28	10	a	a	DET
bracis-19047	28	11	novel	novel	ADJ
bracis-19047	28	12	coarsening	coarsen	VERB
bracis-19047	28	13	algorithm	algorithm	NOUN
bracis-19047	28	14	that	that	PRON
bracis-19047	28	15	uses	use	VERB
bracis-19047	28	16	a	a	DET
bracis-19047	28	17	semi	semi	ADJ
bracis-19047	28	18	-	-	ADJ
bracis-19047	28	19	synchronous	synchronous	ADJ
bracis-19047	28	20	strategy	strategy	NOUN
bracis-19047	28	21	via	via	ADP
bracis-19047	28	22	cross	cross	NOUN
bracis-19047	28	23	-	-	NOUN
bracis-19047	28	24	propagation	propagation	NOUN
bracis-19047	28	25	,	,	PUNCT
bracis-19047	28	26	which	which	PRON
bracis-19047	28	27	only	only	ADV
bracis-19047	28	28	considers	consider	VERB
bracis-19047	28	29	the	the	DET
bracis-19047	28	30	direct	direct	ADJ
bracis-19047	28	31	neighbors	neighbor	NOUN
bracis-19047	28	32	of	of	ADP
bracis-19047	28	33	nodes	node	NOUN
bracis-19047	28	34	,	,	PUNCT
bracis-19047	28	35	which	which	PRON
bracis-19047	28	36	implies	imply	VERB
bracis-19047	28	37	a	a	DET
bracis-19047	28	38	cost	cost	NOUN
bracis-19047	28	39	-	-	PUNCT
bracis-19047	28	40	efficient	efficient	ADJ
bracis-19047	28	41	implementation	implementation	NOUN
bracis-19047	28	42	and	and	CCONJ
bracis-19047	28	43	can	can	AUX
bracis-19047	28	44	deeply	deeply	ADV
bracis-19047	28	45	reduce	reduce	VERB
bracis-19047	28	46	the	the	DET
bracis-19047	28	47	oscillation	oscillation	NOUN
bracis-19047	28	48	phenomenon	phenomenon	NOUN
bracis-19047	28	49	.	.	PUNCT
bracis-19047	29	1	we	we	PRON
bracis-19047	29	2	improve	improve	VERB
bracis-19047	29	3	the	the	DET
bracis-19047	29	4	classical	classical	ADJ
bracis-19047	29	5	cross	cross	ADJ
bracis-19047	29	6	-	-	ADJ
bracis-19047	29	7	propagation	propagation	NOUN
bracis-19047	29	8	strategy	strategy	NOUN
bracis-19047	29	9	using	use	VERB
bracis-19047	29	10	the	the	DET
bracis-19047	29	11	multilevel	multilevel	ADJ
bracis-19047	29	12	process	process	NOUN
bracis-19047	29	13	by	by	ADP
bracis-19047	29	14	adding	add	VERB
bracis-19047	29	15	two	two	NUM
bracis-19047	29	16	restrictions	restriction	NOUN
bracis-19047	29	17	:	:	PUNCT
bracis-19047	29	18	the	the	DET
bracis-19047	29	19	first	first	ADJ
bracis-19047	29	20	defines	define	VERB
bracis-19047	29	21	the	the	DET
bracis-19047	29	22	minimum	minimum	ADJ
bracis-19047	29	23	number	number	NOUN
bracis-19047	29	24	of	of	ADP
bracis-19047	29	25	labels	label	NOUN
bracis-19047	29	26	at	at	ADP
bracis-19047	29	27	the	the	DET
bracis-19047	29	28	algorithm	algorithm	NOUN
bracis-19047	29	29	convergence	convergence	NOUN
bracis-19047	29	30	and	and	CCONJ
bracis-19047	29	31	the	the	DET
bracis-19047	29	32	second	second	ADJ
bracis-19047	29	33	enforces	enforce	NOUN
bracis-19047	29	34	size	size	NOUN
bracis-19047	29	35	constraints	constraint	NOUN
bracis-19047	29	36	to	to	ADP
bracis-19047	29	37	groups	group	NOUN
bracis-19047	29	38	of	of	ADP
bracis-19047	29	39	nodes	node	NOUN
bracis-19047	29	40	belonging	belong	VERB
bracis-19047	29	41	to	to	ADP
bracis-19047	29	42	the	the	DET
bracis-19047	29	43	same	same	ADJ
bracis-19047	29	44	label	label	NOUN
bracis-19047	29	45	.	.	PUNCT
bracis-19047	30	1	these	these	DET
bracis-19047	30	2	restrictions	restriction	NOUN
bracis-19047	30	3	increase	increase	VERB
bracis-19047	30	4	the	the	DET
bracis-19047	30	5	potential	potential	NOUN
bracis-19047	30	6	and	and	CCONJ
bracis-19047	30	7	adaptability	adaptability	NOUN
bracis-19047	30	8	of	of	ADP
bracis-19047	30	9	cross	cross	NOUN
bracis-19047	30	10	-	-	NOUN
bracis-19047	30	11	propagation	propagation	NOUN
bracis-19047	30	12	to	to	PART
bracis-19047	30	13	foster	foster	VERB
bracis-19047	30	14	novel	novel	ADJ
bracis-19047	30	15	applications	application	NOUN
bracis-19047	30	16	in	in	ADP
bracis-19047	30	17	bipartite	bipartite	PROPN
bracis-19047	30	18	networks	network	NOUN
bracis-19047	30	19	and	and	CCONJ
bracis-19047	30	20	can	can	AUX
bracis-19047	30	21	foster	foster	VERB
bracis-19047	30	22	future	future	ADJ
bracis-19047	30	23	research	research	NOUN
bracis-19047	30	24	.	.	PUNCT
bracis-19047	31	1	the	the	DET
bracis-19047	31	2	empirical	empirical	ADJ
bracis-19047	31	3	analysis	analysis	NOUN
bracis-19047	31	4	,	,	PUNCT
bracis-19047	31	5	considering	consider	VERB
bracis-19047	31	6	a	a	DET
bracis-19047	31	7	set	set	NOUN
bracis-19047	31	8	of	of	ADP
bracis-19047	31	9	thousands	thousand	NOUN
bracis-19047	31	10	of	of	ADP
bracis-19047	31	11	networks	network	NOUN
bracis-19047	31	12	(	(	PUNCT
bracis-19047	31	13	both	both	CCONJ
bracis-19047	31	14	synthetic	synthetic	ADJ
bracis-19047	31	15	and	and	CCONJ
bracis-19047	31	16	real	real	ADJ
bracis-19047	31	17	-	-	PUNCT
bracis-19047	31	18	world	world	NOUN
bracis-19047	31	19	networks	network	NOUN
bracis-19047	31	20	)	)	PUNCT
bracis-19047	31	21	,	,	PUNCT
bracis-19047	31	22	demonstrated	demonstrate	VERB
bracis-19047	31	23	that	that	SCONJ
bracis-19047	31	24	our	our	PRON
bracis-19047	31	25	coarsening	coarsen	VERB
bracis-19047	31	26	strategy	strategy	NOUN
bracis-19047	31	27	outperforms	outperform	VERB
bracis-19047	31	28	previous	previous	ADJ
bracis-19047	31	29	approaches	approach	NOUN
bracis-19047	31	30	regarding	regard	VERB
bracis-19047	31	31	accuracy	accuracy	NOUN
bracis-19047	31	32	and	and	CCONJ
bracis-19047	31	33	runtime	runtime	NOUN
bracis-19047	31	34	.	.	PUNCT
bracis-19047	32	1	the	the	DET
bracis-19047	32	2	remainder	remainder	NOUN
bracis-19047	32	3	of	of	ADP
bracis-19047	32	4	the	the	DET
bracis-19047	32	5	paper	paper	NOUN
bracis-19047	32	6	is	be	AUX
bracis-19047	32	7	organized	organize	VERB
bracis-19047	32	8	as	as	SCONJ
bracis-19047	32	9	follows	follow	VERB
bracis-19047	32	10	:	:	PUNCT
bracis-19047	32	11	first	first	ADV
bracis-19047	32	12	,	,	PUNCT
bracis-19047	32	13	we	we	PRON
bracis-19047	32	14	introduce	introduce	VERB
bracis-19047	32	15	the	the	DET
bracis-19047	32	16	basic	basic	ADJ
bracis-19047	32	17	concepts	concept	NOUN
bracis-19047	32	18	and	and	CCONJ
bracis-19047	32	19	notations	notation	NOUN
bracis-19047	32	20	.	.	PUNCT
bracis-19047	33	1	then	then	ADV
bracis-19047	33	2	,	,	PUNCT
bracis-19047	33	3	we	we	PRON
bracis-19047	33	4	present	present	VERB
bracis-19047	33	5	the	the	DET
bracis-19047	33	6	proposed	propose	VERB
bracis-19047	33	7	coarsening	coarsening	NOUN
bracis-19047	33	8	strategy	strategy	NOUN
bracis-19047	33	9	.	.	PUNCT
bracis-19047	34	1	finally	finally	ADV
bracis-19047	34	2	,	,	PUNCT
bracis-19047	34	3	we	we	PRON
bracis-19047	34	4	report	report	VERB
bracis-19047	34	5	results	result	NOUN
bracis-19047	34	6	and	and	CCONJ
bracis-19047	34	7	summarize	summarize	VERB
bracis-19047	34	8	our	our	PRON
bracis-19047	34	9	findings	finding	NOUN
bracis-19047	34	10	and	and	CCONJ
bracis-19047	34	11	discuss	discuss	VERB
bracis-19047	34	12	future	future	ADJ
bracis-19047	34	13	work	work	NOUN
bracis-19047	34	14	.	.	PUNCT
bracis-19047	35	1	2	2	NUM
bracis-19047	35	2	background	background	NOUN
bracis-19047	35	3	a	a	DET
bracis-19047	35	4	network	network	NOUN
bracis-19047	35	5	\(\mathcal	\(\mathcal	ADJ
bracis-19047	35	6	{	{	PUNCT
bracis-19047	35	7	g}=(\mathcal	g}=(\mathcal	ADJ
bracis-19047	35	8	{	{	PUNCT
bracis-19047	35	9	v	v	NOUN
bracis-19047	35	10	}	}	PUNCT
bracis-19047	35	11	,	,	PUNCT
bracis-19047	35	12	\mathcal	\mathcal	X
bracis-19047	35	13	{	{	PUNCT
bracis-19047	35	14	e	e	NOUN
bracis-19047	35	15	}	}	PUNCT
bracis-19047	35	16	,	,	PUNCT
bracis-19047	35	17	\sigma	\sigma	PROPN
bracis-19047	35	18	,	,	PUNCT
bracis-19047	35	19	\omega	\omega	NOUN
bracis-19047	35	20	)	)	PUNCT
bracis-19047	35	21	\	\	PROPN
bracis-19047	35	22	)	)	PUNCT
bracis-19047	35	23	is	be	AUX
bracis-19047	35	24	bipartite	bipartite	ADJ
bracis-19047	35	25	(	(	PUNCT
bracis-19047	35	26	or	or	CCONJ
bracis-19047	35	27	two	two	NUM
bracis-19047	35	28	-	-	PUNCT
bracis-19047	35	29	layer	layer	NOUN
bracis-19047	35	30	)	)	PUNCT
bracis-19047	35	31	if	if	SCONJ
bracis-19047	35	32	its	its	PRON
bracis-19047	35	33	set	set	NOUN
bracis-19047	35	34	of	of	ADP
bracis-19047	35	35	nodes	node	NOUN
bracis-19047	35	36	\(\mathcal	\(\mathcal	ADJ
bracis-19047	35	37	{	{	PUNCT
bracis-19047	35	38	v}\	v}\	NUM
bracis-19047	35	39	)	)	PUNCT
bracis-19047	35	40	and	and	CCONJ
bracis-19047	35	41	\(\mathcal	\(\mathcal	ADJ
bracis-19047	35	42	{	{	PUNCT
bracis-19047	35	43	v}^1	v}^1	PROPN
bracis-19047	35	44	\cap	\cap	PROPN
bracis-19047	35	45	\mathcal	\mathcal	PROPN
bracis-19047	35	46	{	{	PUNCT
bracis-19047	35	47	v}^2	v}^2	X
bracis-19047	35	48	=	=	PUNCT
bracis-19047	35	49	\emptyset	\emptyset	VERB
bracis-19047	35	50	\	\	NOUN
bracis-19047	35	51	)	)	PUNCT
bracis-19047	35	52	.	.	PUNCT
bracis-19047	36	1	\(\mathcal	\(\mathcal	ADJ
bracis-19047	36	2	{	{	PUNCT
bracis-19047	36	3	e}\	e}\	NUM
bracis-19047	36	4	)	)	PUNCT
bracis-19047	36	5	is	be	AUX
bracis-19047	36	6	the	the	DET
bracis-19047	36	7	set	set	NOUN
bracis-19047	36	8	of	of	ADP
bracis-19047	36	9	links	link	NOUN
bracis-19047	36	10	,	,	PUNCT
bracis-19047	36	11	wherein	wherein	SCONJ
bracis-19047	36	12	\(\mathcal	\(\mathcal	ADJ
bracis-19047	36	13	{	{	PUNCT
bracis-19047	36	14	e}\subseteq	e}\subseteq	PROPN
bracis-19047	36	15	\mathcal	\mathcal	PROPN
bracis-19047	36	16	{	{	PUNCT
bracis-19047	36	17	v}^1	v}^1	NOUN
bracis-19047	36	18	\times	\times	ADP
bracis-19047	36	19	\mathcal	\mathcal	PROPN
bracis-19047	36	20	{	{	PUNCT
bracis-19047	36	21	v}^2\	v}^2\	NOUN
bracis-19047	36	22	)	)	PUNCT
bracis-19047	36	23	.	.	PUNCT
bracis-19047	37	1	a	a	DET
bracis-19047	37	2	link	link	NOUN
bracis-19047	37	3	(	(	PUNCT
bracis-19047	37	4	u	u	NOUN
bracis-19047	37	5	,	,	PUNCT
bracis-19047	37	6	 	 	SPACE
bracis-19047	37	7	v	v	NOUN
bracis-19047	37	8	)	)	PUNCT
bracis-19047	37	9	may	may	AUX
bracis-19047	37	10	have	have	VERB
bracis-19047	37	11	an	an	DET
bracis-19047	37	12	associated	associated	ADJ
bracis-19047	37	13	weight	weight	NOUN
bracis-19047	37	14	,	,	PUNCT
bracis-19047	37	15	denoted	denote	VERB
bracis-19047	37	16	as	as	ADP
bracis-19047	37	17	\(\omega	\(\omega	X
bracis-19047	37	18	(	(	PUNCT
bracis-19047	37	19	u	u	NOUN
bracis-19047	37	20	,	,	PUNCT
bracis-19047	37	21	v)\	v)\	NOUN
bracis-19047	37	22	)	)	PUNCT
bracis-19047	37	23	with	with	ADP
bracis-19047	37	24	\(\omega	\(\omega	NOUN
bracis-19047	37	25	:	:	PUNCT
bracis-19047	37	26	\mathcal	\mathcal	INTJ
bracis-19047	37	27	{	{	PUNCT
bracis-19047	37	28	v}^1	v}^1	NOUN
bracis-19047	37	29	\times	\times	ADP
bracis-19047	37	30	\mathcal	\mathcal	PROPN
bracis-19047	37	31	{	{	PUNCT
bracis-19047	37	32	v}^2	v}^2	INTJ
bracis-19047	37	33	\rightarrow	\rightarrow	PROPN
bracis-19047	37	34	\mathbb	\mathbb	PROPN
bracis-19047	37	35	{	{	PUNCT
bracis-19047	37	36	r}\	r}\	NUM
bracis-19047	37	37	)	)	PUNCT
bracis-19047	37	38	;	;	PUNCT
bracis-19047	37	39	and	and	CCONJ
bracis-19047	37	40	a	a	DET
bracis-19047	37	41	node	node	NOUN
bracis-19047	37	42	u	u	NOUN
bracis-19047	37	43	may	may	AUX
bracis-19047	37	44	have	have	VERB
bracis-19047	37	45	an	an	DET
bracis-19047	37	46	associated	associated	ADJ
bracis-19047	37	47	weight	weight	NOUN
bracis-19047	37	48	,	,	PUNCT
bracis-19047	37	49	denoted	denote	VERB
bracis-19047	37	50	as	as	ADP
bracis-19047	37	51	\(\sigma	\(\sigma	NOUN
bracis-19047	37	52	(	(	PUNCT
bracis-19047	37	53	u)\	u)\	PROPN
bracis-19047	37	54	)	)	PUNCT
bracis-19047	37	55	with	with	ADP
bracis-19047	37	56	\(\sigma	\(\sigma	NOUN
bracis-19047	37	57	:	:	PUNCT
bracis-19047	37	58	v	v	X
bracis-19047	37	59	\rightarrow	\rightarrow	PROPN
bracis-19047	37	60	\mathbb	\mathbb	PROPN
bracis-19047	37	61	{	{	PUNCT
bracis-19047	37	62	r}\	r}\	NUM
bracis-19047	37	63	)	)	PUNCT
bracis-19047	37	64	.	.	PUNCT
bracis-19047	38	1	the	the	DET
bracis-19047	38	2	degree	degree	NOUN
bracis-19047	38	3	of	of	ADP
bracis-19047	38	4	a	a	DET
bracis-19047	38	5	node	node	NOUN
bracis-19047	38	6	\(u	\(u	ADJ
bracis-19047	38	7	\in	\in	PROPN
bracis-19047	38	8	\mathcal	\mathcal	PROPN
bracis-19047	38	9	{	{	PUNCT
bracis-19047	38	10	v}\	v}\	PROPN
bracis-19047	38	11	)	)	PUNCT
bracis-19047	38	12	is	be	AUX
bracis-19047	38	13	denoted	denote	VERB
bracis-19047	38	14	by	by	ADP
bracis-19047	38	15	\(\kappa	\(\kappa	PROPN
bracis-19047	38	16	(	(	PUNCT
bracis-19047	38	17	u	u	NOUN
bracis-19047	38	18	)	)	PUNCT
bracis-19047	38	19	=	=	SYM
bracis-19047	38	20	\sum	\sum	NOUN
bracis-19047	38	21	_	_	PUNCT
bracis-19047	38	22	{	{	PUNCT
bracis-19047	38	23	v	v	NUM
bracis-19047	38	24	\in	\in	PROPN
bracis-19047	38	25	\mathcal	\mathcal	PROPN
bracis-19047	38	26	{	{	PUNCT
bracis-19047	38	27	v}}w(u	v}}w(u	ADJ
bracis-19047	38	28	,	,	PUNCT
bracis-19047	38	29	v)\	v)\	NOUN
bracis-19047	38	30	)	)	PUNCT
bracis-19047	38	31	.	.	PUNCT
bracis-19047	39	1	the	the	DET
bracis-19047	39	2	h	h	NOUN
bracis-19047	39	3	-	-	PUNCT
bracis-19047	39	4	hop	hop	NOUN
bracis-19047	39	5	neighborhood	neighborhood	NOUN
bracis-19047	39	6	of	of	ADP
bracis-19047	39	7	u	u	NOUN
bracis-19047	39	8	,	,	PUNCT
bracis-19047	39	9	denoted	denote	VERB
bracis-19047	39	10	by	by	ADP
bracis-19047	39	11	\(\vargamma	\(\vargamma	PROPN
bracis-19047	39	12	_	_	PROPN
bracis-19047	39	13	h(u)\	h(u)\	NOUN
bracis-19047	39	14	)	)	PUNCT
bracis-19047	39	15	,	,	PUNCT
bracis-19047	39	16	is	be	AUX
bracis-19047	39	17	formally	formally	ADV
bracis-19047	39	18	defined	define	VERB
bracis-19047	39	19	as	as	ADP
bracis-19047	39	20	the	the	DET
bracis-19047	39	21	nodes	node	NOUN
bracis-19047	39	22	in	in	ADP
bracis-19047	39	23	set	set	VERB
bracis-19047	39	24	\(\vargamma	\(\vargamma	PROPN
bracis-19047	39	25	_	_	PUNCT
bracis-19047	39	26	h(u	h(u	X
bracis-19047	39	27	)	)	PUNCT
bracis-19047	40	1	=	=	PUNCT
bracis-19047	40	2	\{v\	\{v\	PROPN
bracis-19047	40	3	|	|	NOUN
bracis-19047	40	4	\	\	NOUN
bracis-19047	40	5	)	)	PUNCT
bracis-19047	40	6	there	there	PRON
bracis-19047	40	7	is	be	VERB
bracis-19047	40	8	a	a	DET
bracis-19047	40	9	path	path	NOUN
bracis-19047	40	10	of	of	ADP
bracis-19047	40	11	length	length	NOUN
bracis-19047	40	12	h	h	NOUN
bracis-19047	40	13	between	between	ADP
bracis-19047	40	14	u	u	NOUN
bracis-19047	40	15	and	and	CCONJ
bracis-19047	40	16	\(v\}\	\(v\}\	NOUN
bracis-19047	40	17	)	)	PUNCT
bracis-19047	40	18	.	.	PUNCT
bracis-19047	41	1	thus	thus	ADV
bracis-19047	41	2	,	,	PUNCT
bracis-19047	41	3	\(\vargamma	\(\vargamma	X
bracis-19047	41	4	_	_	NOUN
bracis-19047	41	5	1(u)\	1(u)\	NUM
bracis-19047	41	6	)	)	PUNCT
bracis-19047	41	7	is	be	AUX
bracis-19047	41	8	the	the	DET
bracis-19047	41	9	set	set	NOUN
bracis-19047	41	10	of	of	ADP
bracis-19047	41	11	nodes	node	NOUN
bracis-19047	41	12	adjacent	adjacent	ADJ
bracis-19047	41	13	to	to	ADP
bracis-19047	41	14	u	u	NOUN
bracis-19047	41	15	;	;	PUNCT
bracis-19047	41	16	\(\vargamma	\(\vargamma	X
bracis-19047	41	17	_	_	PUNCT
bracis-19047	41	18	2(u)\	2(u)\	NUM
bracis-19047	41	19	)	)	PUNCT
bracis-19047	41	20	is	be	AUX
bracis-19047	41	21	the	the	DET
bracis-19047	41	22	set	set	NOUN
bracis-19047	41	23	of	of	ADP
bracis-19047	41	24	nodes	node	NOUN
bracis-19047	41	25	2	2	NUM
bracis-19047	41	26	-	-	PUNCT
bracis-19047	41	27	hops	hop	NOUN
bracis-19047	41	28	away	away	ADV
bracis-19047	41	29	from	from	ADP
bracis-19047	41	30	u	u	NOUN
bracis-19047	41	31	,	,	PUNCT
bracis-19047	41	32	and	and	CCONJ
bracis-19047	41	33	so	so	ADV
bracis-19047	41	34	forth	forth	ADV
bracis-19047	41	35	.	.	PUNCT
bracis-19047	42	1	2.1	2.1	NUM
bracis-19047	42	2	label	label	NOUN
bracis-19047	42	3	propagation	propagation	NOUN
bracis-19047	42	4	the	the	DET
bracis-19047	42	5	label	label	NOUN
bracis-19047	42	6	propagation	propagation	NOUN
bracis-19047	42	7	(	(	PUNCT
bracis-19047	42	8	lp	lp	NOUN
bracis-19047	42	9	)	)	PUNCT
bracis-19047	42	10	algorithm	algorithm	NOUN
bracis-19047	42	11	is	be	AUX
bracis-19047	42	12	a	a	DET
bracis-19047	42	13	popular	popular	ADJ
bracis-19047	42	14	,	,	PUNCT
bracis-19047	42	15	simple	simple	ADJ
bracis-19047	42	16	and	and	CCONJ
bracis-19047	42	17	time	time	NOUN
bracis-19047	42	18	-	-	PUNCT
bracis-19047	42	19	effective	effective	ADJ
bracis-19047	42	20	algorithm	algorithm	NOUN
bracis-19047	42	21	,	,	PUNCT
bracis-19047	42	22	commonly	commonly	ADV
bracis-19047	42	23	used	use	VERB
bracis-19047	42	24	in	in	ADP
bracis-19047	42	25	community	community	NOUN
bracis-19047	42	26	detection	detection	NOUN
bracis-19047	42	27	[	[	X
bracis-19047	42	28	20	20	NUM
bracis-19047	42	29	]	]	PUNCT
bracis-19047	42	30	.	.	PUNCT
bracis-19047	43	1	every	every	DET
bracis-19047	43	2	node	node	NOUN
bracis-19047	43	3	is	be	AUX
bracis-19047	43	4	initially	initially	ADV
bracis-19047	43	5	assigned	assign	VERB
bracis-19047	43	6	to	to	ADP
bracis-19047	43	7	a	a	DET
bracis-19047	43	8	unique	unique	ADJ
bracis-19047	43	9	label	label	NOUN
bracis-19047	43	10	,	,	PUNCT
bracis-19047	43	11	then	then	ADV
bracis-19047	43	12	,	,	PUNCT
bracis-19047	43	13	at	at	ADP
bracis-19047	43	14	each	each	DET
bracis-19047	43	15	iteration	iteration	NOUN
bracis-19047	43	16	,	,	PUNCT
bracis-19047	43	17	each	each	DET
bracis-19047	43	18	node	node	ADJ
bracis-19047	43	19	label	label	NOUN
bracis-19047	43	20	is	be	AUX
bracis-19047	43	21	updated	update	VERB
bracis-19047	43	22	with	with	ADP
bracis-19047	43	23	the	the	DET
bracis-19047	43	24	most	most	ADV
bracis-19047	43	25	frequent	frequent	ADJ
bracis-19047	43	26	label	label	NOUN
bracis-19047	43	27	in	in	ADP
bracis-19047	43	28	its	its	PRON
bracis-19047	43	29	neighborhood	neighborhood	NOUN
bracis-19047	43	30	,	,	PUNCT
bracis-19047	43	31	following	follow	VERB
bracis-19047	43	32	the	the	DET
bracis-19047	43	33	rule	rule	NOUN
bracis-19047	43	34	:	:	PUNCT
bracis-19047	43	35	$	$	SYM
bracis-19047	43	36	$	$	SYM
bracis-19047	43	37	\begin{aligned	\begin{aligne	VERB
bracis-19047	43	38	}	}	PUNCT
bracis-19047	43	39	l_u^	l_u^	NOUN
bracis-19047	43	40	{	{	PUNCT
bracis-19047	43	41	'	'	PUNCT
bracis-19047	43	42	}	}	PUNCT
bracis-19047	43	43	=	=	SYM
bracis-19047	43	44	\mathop	\mathop	PROPN
bracis-19047	43	45	{	{	PUNCT
bracis-19047	43	46	{	{	PUNCT
bracis-19047	43	47	{	{	PUNCT
bracis-19047	43	48	\,\mathrm{arg\,max}\,}}}\limits	\,\mathrm{arg\,max}\,}}}\limit	NOUN
bracis-19047	43	49	_	_	PUNCT
bracis-19047	43	50	{	{	PUNCT
bracis-19047	43	51	{	{	PUNCT
bracis-19047	43	52	l	l	PROPN
bracis-19047	43	53	\in	\in	PROPN
bracis-19047	43	54	\mathcal	\mathcal	PROPN
bracis-19047	43	55	{	{	PUNCT
bracis-19047	43	56	l	l	NOUN
bracis-19047	43	57	}	}	PUNCT
bracis-19047	43	58	}	}	PUNCT
bracis-19047	43	59	}	}	PUNCT
bracis-19047	44	1	\sum	\sum	NOUN
bracis-19047	44	2	_	_	PUNCT
bracis-19047	44	3	{	{	PUNCT
bracis-19047	44	4	v	v	ADP
bracis-19047	44	5	\in	\in	PROPN
bracis-19047	44	6	\vargamma	\vargamma	PROPN
bracis-19047	44	7	_	_	NOUN
bracis-19047	44	8	1(u	1(u	NUM
bracis-19047	44	9	)	)	PUNCT
bracis-19047	44	10	}	}	PUNCT
bracis-19047	44	11	\delta	\delta	PROPN
bracis-19047	44	12	(	(	PUNCT
bracis-19047	44	13	l_v	l_v	PROPN
bracis-19047	44	14	,	,	PUNCT
bracis-19047	44	15	l	l	NOUN
bracis-19047	44	16	)	)	PUNCT
bracis-19047	44	17	,	,	PUNCT
bracis-19047	44	18	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	44	19	(	(	PUNCT
bracis-19047	44	20	1	1	NUM
bracis-19047	44	21	)	)	PUNCT
bracis-19047	44	22	wherein	wherein	ADJ
bracis-19047	44	23	\(l_v\	\(l_v\	NOUN
bracis-19047	44	24	)	)	PUNCT
bracis-19047	44	25	is	be	AUX
bracis-19047	44	26	the	the	DET
bracis-19047	44	27	current	current	ADJ
bracis-19047	44	28	label	label	NOUN
bracis-19047	44	29	of	of	ADP
bracis-19047	44	30	v	v	NOUN
bracis-19047	44	31	,	,	PUNCT
bracis-19047	44	32	\(l_u^{'}\	\(l_u^{'}\	NOUN
bracis-19047	44	33	)	)	PUNCT
bracis-19047	44	34	is	be	AUX
bracis-19047	44	35	the	the	DET
bracis-19047	44	36	new	new	ADJ
bracis-19047	44	37	label	label	NOUN
bracis-19047	44	38	of	of	ADP
bracis-19047	44	39	u	u	NOUN
bracis-19047	44	40	,	,	PUNCT
bracis-19047	44	41	\(\mathcal	\(\mathcal	ADJ
bracis-19047	44	42	{	{	PUNCT
bracis-19047	44	43	l}\	l}\	PROPN
bracis-19047	44	44	)	)	PUNCT
bracis-19047	44	45	is	be	AUX
bracis-19047	44	46	the	the	DET
bracis-19047	44	47	label	label	NOUN
bracis-19047	44	48	set	set	VERB
bracis-19047	44	49	for	for	ADP
bracis-19047	44	50	all	all	DET
bracis-19047	44	51	nodes	node	NOUN
bracis-19047	44	52	and	and	CCONJ
bracis-19047	44	53	\(\delta	\(\delta	NOUN
bracis-19047	44	54	\	\	NOUN
bracis-19047	44	55	)	)	PUNCT
bracis-19047	44	56	is	be	AUX
bracis-19047	44	57	the	the	DET
bracis-19047	44	58	kronecker	kronecker	NOUN
bracis-19047	44	59	’s	’s	PART
bracis-19047	44	60	delta	delta	NOUN
bracis-19047	44	61	.	.	PUNCT
bracis-19047	45	1	intuitively	intuitively	ADV
bracis-19047	45	2	,	,	PUNCT
bracis-19047	45	3	groups	group	NOUN
bracis-19047	45	4	of	of	ADP
bracis-19047	45	5	densely	densely	ADV
bracis-19047	45	6	connected	connect	VERB
bracis-19047	45	7	nodes	node	NOUN
bracis-19047	45	8	will	will	AUX
bracis-19047	45	9	converge	converge	VERB
bracis-19047	45	10	to	to	ADP
bracis-19047	45	11	a	a	DET
bracis-19047	45	12	single	single	ADJ
bracis-19047	45	13	dominant	dominant	ADJ
bracis-19047	45	14	label	label	NOUN
bracis-19047	45	15	.	.	PUNCT
bracis-19047	46	1	lp	lp	PROPN
bracis-19047	46	2	has	have	AUX
bracis-19047	46	3	been	be	AUX
bracis-19047	46	4	widely	widely	ADV
bracis-19047	46	5	studied	study	VERB
bracis-19047	46	6	,	,	PUNCT
bracis-19047	46	7	extended	extended	ADJ
bracis-19047	46	8	and	and	CCONJ
bracis-19047	46	9	enhanced	enhance	VERB
bracis-19047	46	10	.	.	PUNCT
bracis-19047	47	1	the	the	DET
bracis-19047	47	2	authors	author	NOUN
bracis-19047	47	3	in	in	ADP
bracis-19047	47	4	[	[	X
bracis-19047	47	5	1	1	NUM
bracis-19047	47	6	]	]	PUNCT
bracis-19047	47	7	proposed	propose	VERB
bracis-19047	47	8	a	a	DET
bracis-19047	47	9	modified	modified	ADJ
bracis-19047	47	10	algorithm	algorithm	NOUN
bracis-19047	47	11	that	that	PRON
bracis-19047	47	12	maximizes	maximize	VERB
bracis-19047	47	13	the	the	DET
bracis-19047	47	14	network	network	NOUN
bracis-19047	47	15	modularity	modularity	NOUN
bracis-19047	47	16	.	.	PUNCT
bracis-19047	48	1	the	the	DET
bracis-19047	48	2	authors	author	NOUN
bracis-19047	48	3	in	in	ADP
bracis-19047	48	4	[	[	X
bracis-19047	48	5	11	11	NUM
bracis-19047	48	6	]	]	PUNCT
bracis-19047	48	7	presented	present	VERB
bracis-19047	48	8	a	a	DET
bracis-19047	48	9	study	study	NOUN
bracis-19047	48	10	of	of	ADP
bracis-19047	48	11	lp	lp	PROPN
bracis-19047	48	12	in	in	ADP
bracis-19047	48	13	bipartite	bipartite	PROPN
bracis-19047	48	14	networks	network	NOUN
bracis-19047	48	15	.	.	PUNCT
bracis-19047	49	1	the	the	DET
bracis-19047	49	2	authors	author	NOUN
bracis-19047	49	3	in	in	ADP
bracis-19047	49	4	[	[	X
bracis-19047	49	5	12	12	NUM
bracis-19047	49	6	]	]	PUNCT
bracis-19047	49	7	,	,	PUNCT
bracis-19047	49	8	improved	improve	VERB
bracis-19047	49	9	in	in	ADP
bracis-19047	49	10	[	[	X
bracis-19047	49	11	2	2	NUM
bracis-19047	49	12	]	]	PUNCT
bracis-19047	49	13	,	,	PUNCT
bracis-19047	49	14	introduced	introduce	VERB
bracis-19047	49	15	a	a	DET
bracis-19047	49	16	novel	novel	ADJ
bracis-19047	49	17	algorithm	algorithm	NOUN
bracis-19047	49	18	that	that	PRON
bracis-19047	49	19	maximizes	maximize	VERB
bracis-19047	49	20	the	the	DET
bracis-19047	49	21	modularity	modularity	NOUN
bracis-19047	49	22	through	through	ADP
bracis-19047	49	23	lp	lp	PROPN
bracis-19047	49	24	in	in	ADP
bracis-19047	49	25	bipartite	bipartite	PROPN
bracis-19047	49	26	networks	network	NOUN
bracis-19047	49	27	.	.	PUNCT
bracis-19047	50	1	the	the	DET
bracis-19047	50	2	authors	author	NOUN
bracis-19047	50	3	in	in	ADP
bracis-19047	50	4	[	[	X
bracis-19047	50	5	7	7	NUM
bracis-19047	50	6	]	]	PUNCT
bracis-19047	50	7	presented	present	VERB
bracis-19047	50	8	a	a	DET
bracis-19047	50	9	variation	variation	NOUN
bracis-19047	50	10	of	of	ADP
bracis-19047	50	11	this	this	DET
bracis-19047	50	12	concept	concept	NOUN
bracis-19047	50	13	to	to	ADP
bracis-19047	50	14	k	k	ADJ
bracis-19047	50	15	-	-	ADJ
bracis-19047	50	16	partite	partite	ADJ
bracis-19047	50	17	networks	network	NOUN
bracis-19047	50	18	.	.	PUNCT
bracis-19047	51	1	in	in	ADP
bracis-19047	51	2	the	the	DET
bracis-19047	51	3	multilevel	multilevel	ADJ
bracis-19047	51	4	context	context	NOUN
bracis-19047	51	5	,	,	PUNCT
bracis-19047	51	6	the	the	DET
bracis-19047	51	7	authors	author	NOUN
bracis-19047	51	8	in	in	ADP
bracis-19047	51	9	[	[	X
bracis-19047	51	10	14	14	NUM
bracis-19047	51	11	]	]	PUNCT
bracis-19047	51	12	proposed	propose	VERB
bracis-19047	51	13	a	a	DET
bracis-19047	51	14	coarsening	coarsen	VERB
bracis-19047	51	15	algorithm	algorithm	NOUN
bracis-19047	51	16	based	base	VERB
bracis-19047	51	17	on	on	ADP
bracis-19047	51	18	lp	lp	ADV
bracis-19047	51	19	and	and	CCONJ
bracis-19047	51	20	,	,	PUNCT
bracis-19047	51	21	recently	recently	ADV
bracis-19047	51	22	,	,	PUNCT
bracis-19047	51	23	the	the	DET
bracis-19047	51	24	authors	author	NOUN
bracis-19047	51	25	in	in	ADP
bracis-19047	51	26	[	[	X
bracis-19047	51	27	24	24	NUM
bracis-19047	51	28	]	]	PUNCT
bracis-19047	51	29	extended	extend	VERB
bracis-19047	51	30	this	this	DET
bracis-19047	51	31	concept	concept	NOUN
bracis-19047	51	32	to	to	PART
bracis-19047	51	33	handle	handle	VERB
bracis-19047	51	34	bipartite	bipartite	PROPN
bracis-19047	51	35	networks	network	NOUN
bracis-19047	51	36	.	.	PUNCT
bracis-19047	52	1	synchronous	synchronous	ADJ
bracis-19047	52	2	lp	lp	ADJ
bracis-19047	52	3	formulation	formulation	NOUN
bracis-19047	52	4	can	can	AUX
bracis-19047	52	5	yield	yield	VERB
bracis-19047	52	6	cyclic	cyclic	ADJ
bracis-19047	52	7	oscillation	oscillation	NOUN
bracis-19047	52	8	of	of	ADP
bracis-19047	52	9	labels	label	NOUN
bracis-19047	52	10	in	in	ADP
bracis-19047	52	11	some	some	DET
bracis-19047	52	12	topological	topological	ADJ
bracis-19047	52	13	structures	structure	NOUN
bracis-19047	52	14	,	,	PUNCT
bracis-19047	52	15	as	as	ADP
bracis-19047	52	16	bipartite	bipartite	ADJ
bracis-19047	52	17	,	,	PUNCT
bracis-19047	52	18	nearly	nearly	ADV
bracis-19047	52	19	bipartite	bipartite	ADJ
bracis-19047	52	20	,	,	PUNCT
bracis-19047	52	21	ring	ring	NOUN
bracis-19047	52	22	,	,	PUNCT
bracis-19047	52	23	star	star	NOUN
bracis-19047	52	24	-	-	PUNCT
bracis-19047	52	25	like	like	ADJ
bracis-19047	52	26	components	component	NOUN
bracis-19047	52	27	and	and	CCONJ
bracis-19047	52	28	other	other	ADJ
bracis-19047	52	29	topological	topological	ADJ
bracis-19047	52	30	structures	structure	NOUN
bracis-19047	52	31	within	within	ADP
bracis-19047	52	32	them	they	PRON
bracis-19047	52	33	.	.	PUNCT
bracis-19047	53	1	specifically	specifically	ADV
bracis-19047	53	2	,	,	PUNCT
bracis-19047	53	3	after	after	ADP
bracis-19047	53	4	an	an	DET
bracis-19047	53	5	arbitrary	arbitrary	ADJ
bracis-19047	53	6	step	step	NOUN
bracis-19047	53	7	,	,	PUNCT
bracis-19047	53	8	labels	label	VERB
bracis-19047	53	9	values	value	NOUN
bracis-19047	53	10	indefinitely	indefinitely	ADV
bracis-19047	53	11	oscillate	oscillate	VERB
bracis-19047	53	12	between	between	ADP
bracis-19047	53	13	them	they	PRON
bracis-19047	53	14	,	,	PUNCT
bracis-19047	53	15	i.e.	i.e.	X
bracis-19047	53	16	a	a	DET
bracis-19047	53	17	node	node	NOUN
bracis-19047	53	18	exchanges	exchange	NOUN
bracis-19047	53	19	its	its	PRON
bracis-19047	53	20	label	label	NOUN
bracis-19047	53	21	with	with	ADP
bracis-19047	53	22	a	a	DET
bracis-19047	53	23	neighbor	neighbor	NOUN
bracis-19047	53	24	and	and	CCONJ
bracis-19047	53	25	,	,	PUNCT
bracis-19047	53	26	in	in	ADP
bracis-19047	53	27	a	a	DET
bracis-19047	53	28	future	future	ADJ
bracis-19047	53	29	iteration	iteration	NOUN
bracis-19047	53	30	,	,	PUNCT
bracis-19047	53	31	this	this	DET
bracis-19047	53	32	exchange	exchange	NOUN
bracis-19047	53	33	is	be	AUX
bracis-19047	53	34	reversed	reverse	VERB
bracis-19047	53	35	.	.	PUNCT
bracis-19047	54	1	this	this	DET
bracis-19047	54	2	problem	problem	NOUN
bracis-19047	54	3	is	be	AUX
bracis-19047	54	4	illustrated	illustrate	VERB
bracis-19047	54	5	in	in	ADP
bracis-19047	54	6	fig	fig	NOUN
bracis-19047	54	7	.	.	PUNCT
bracis-19047	54	8	 	 	SPACE
bracis-19047	55	1	2	2	NUM
bracis-19047	55	2	.	.	X
bracis-19047	55	3	fig	fig	NOUN
bracis-19047	55	4	.	.	PUNCT
bracis-19047	56	1	2	2	X
bracis-19047	56	2	.	.	X
bracis-19047	56	3	oscillation	oscillation	NOUN
bracis-19047	56	4	phenomenon	phenomenon	NOUN
bracis-19047	56	5	.	.	PUNCT
bracis-19047	57	1	in	in	ADP
bracis-19047	57	2	(	(	PUNCT
bracis-19047	57	3	a	a	X
bracis-19047	57	4	)	)	PUNCT
bracis-19047	57	5	,	,	PUNCT
bracis-19047	57	6	labels	label	NOUN
bracis-19047	57	7	are	be	AUX
bracis-19047	57	8	randomly	randomly	ADV
bracis-19047	57	9	assigned	assign	VERB
bracis-19047	57	10	to	to	ADP
bracis-19047	57	11	nodes	node	NOUN
bracis-19047	57	12	;	;	PUNCT
bracis-19047	57	13	in	in	ADP
bracis-19047	57	14	(	(	PUNCT
bracis-19047	57	15	b	b	NOUN
bracis-19047	57	16	)	)	PUNCT
bracis-19047	57	17	,	,	PUNCT
bracis-19047	57	18	a	a	DET
bracis-19047	57	19	propagation	propagation	NOUN
bracis-19047	57	20	process	process	NOUN
bracis-19047	57	21	updates	update	VERB
bracis-19047	57	22	the	the	DET
bracis-19047	57	23	labels	label	NOUN
bracis-19047	57	24	;	;	PUNCT
bracis-19047	57	25	in	in	ADP
bracis-19047	57	26	the	the	DET
bracis-19047	57	27	subsequent	subsequent	ADJ
bracis-19047	57	28	iterations	iteration	NOUN
bracis-19047	57	29	,	,	PUNCT
bracis-19047	57	30	labels	label	VERB
bracis-19047	57	31	values	value	NOUN
bracis-19047	57	32	indefinitely	indefinitely	ADV
bracis-19047	57	33	oscillate	oscillate	VERB
bracis-19047	57	34	between	between	ADP
bracis-19047	57	35	them	they	PRON
bracis-19047	57	36	.	.	PUNCT
bracis-19047	58	1	full	full	ADJ
bracis-19047	58	2	size	size	NOUN
bracis-19047	58	3	image	image	NOUN
bracis-19047	58	4	to	to	PART
bracis-19047	58	5	suppress	suppress	VERB
bracis-19047	58	6	this	this	DET
bracis-19047	58	7	problem	problem	NOUN
bracis-19047	58	8	,	,	PUNCT
bracis-19047	58	9	it	it	PRON
bracis-19047	58	10	is	be	AUX
bracis-19047	58	11	used	use	VERB
bracis-19047	58	12	the	the	DET
bracis-19047	58	13	asynchronous	asynchronous	ADJ
bracis-19047	58	14	[	[	X
bracis-19047	58	15	20	20	NUM
bracis-19047	58	16	]	]	PUNCT
bracis-19047	58	17	or	or	CCONJ
bracis-19047	58	18	semi	semi	ADJ
bracis-19047	58	19	-	-	ADJ
bracis-19047	58	20	synchronous	synchronous	ADJ
bracis-19047	58	21	[	[	X
bracis-19047	58	22	4	4	NUM
bracis-19047	58	23	]	]	X
bracis-19047	58	24	strategy	strategy	NOUN
bracis-19047	58	25	,	,	PUNCT
bracis-19047	58	26	in	in	ADP
bracis-19047	58	27	which	which	PRON
bracis-19047	58	28	a	a	DET
bracis-19047	58	29	node	node	NOUN
bracis-19047	58	30	or	or	CCONJ
bracis-19047	58	31	a	a	DET
bracis-19047	58	32	group	group	NOUN
bracis-19047	58	33	of	of	ADP
bracis-19047	58	34	nodes	node	NOUN
bracis-19047	58	35	is	be	AUX
bracis-19047	58	36	updated	update	VERB
bracis-19047	58	37	at	at	ADP
bracis-19047	58	38	a	a	DET
bracis-19047	58	39	time	time	NOUN
bracis-19047	58	40	,	,	PUNCT
bracis-19047	58	41	respectively	respectively	ADV
bracis-19047	58	42	.	.	PUNCT
bracis-19047	59	1	for	for	ADP
bracis-19047	59	2	bipartite	bipartite	PROPN
bracis-19047	59	3	networks	network	NOUN
bracis-19047	59	4	are	be	AUX
bracis-19047	59	5	common	common	ADJ
bracis-19047	59	6	to	to	PART
bracis-19047	59	7	apply	apply	VERB
bracis-19047	59	8	the	the	DET
bracis-19047	59	9	cross	cross	ADJ
bracis-19047	59	10	-	-	ADJ
bracis-19047	59	11	propagation	propagation	NOUN
bracis-19047	59	12	concept	concept	NOUN
bracis-19047	59	13	,	,	PUNCT
bracis-19047	59	14	a	a	DET
bracis-19047	59	15	semi	semi	ADJ
bracis-19047	59	16	-	-	ADJ
bracis-19047	59	17	synchronous	synchronous	ADJ
bracis-19047	59	18	strategy	strategy	NOUN
bracis-19047	60	1	[	[	X
bracis-19047	60	2	11	11	NUM
bracis-19047	60	3	]	]	PUNCT
bracis-19047	60	4	,	,	PUNCT
bracis-19047	60	5	in	in	ADP
bracis-19047	60	6	which	which	PRON
bracis-19047	60	7	nodes	node	NOUN
bracis-19047	60	8	in	in	ADP
bracis-19047	60	9	a	a	DET
bracis-19047	60	10	selected	select	VERB
bracis-19047	60	11	layer	layer	NOUN
bracis-19047	60	12	are	be	AUX
bracis-19047	60	13	set	set	VERB
bracis-19047	60	14	as	as	ADP
bracis-19047	60	15	propagators	propagator	NOUN
bracis-19047	60	16	and	and	CCONJ
bracis-19047	60	17	nodes	node	NOUN
bracis-19047	60	18	in	in	ADP
bracis-19047	60	19	the	the	DET
bracis-19047	60	20	other	other	ADJ
bracis-19047	60	21	layer	layer	NOUN
bracis-19047	60	22	are	be	AUX
bracis-19047	60	23	set	set	VERB
bracis-19047	60	24	as	as	ADP
bracis-19047	60	25	receivers	receiver	NOUN
bracis-19047	60	26	.	.	PUNCT
bracis-19047	61	1	the	the	DET
bracis-19047	61	2	process	process	NOUN
bracis-19047	61	3	is	be	AUX
bracis-19047	61	4	initially	initially	ADV
bracis-19047	61	5	performed	perform	VERB
bracis-19047	61	6	from	from	ADP
bracis-19047	61	7	the	the	DET
bracis-19047	61	8	propagator	propagator	NOUN
bracis-19047	61	9	to	to	ADP
bracis-19047	61	10	the	the	DET
bracis-19047	61	11	receivers	receiver	NOUN
bracis-19047	61	12	,	,	PUNCT
bracis-19047	61	13	then	then	ADV
bracis-19047	61	14	it	it	PRON
bracis-19047	61	15	is	be	AUX
bracis-19047	61	16	performed	perform	VERB
bracis-19047	61	17	in	in	ADP
bracis-19047	61	18	the	the	DET
bracis-19047	61	19	reverse	reverse	ADJ
bracis-19047	61	20	direction	direction	NOUN
bracis-19047	61	21	,	,	PUNCT
bracis-19047	61	22	as	as	SCONJ
bracis-19047	61	23	illustrated	illustrate	VERB
bracis-19047	61	24	in	in	ADP
bracis-19047	61	25	fig	fig	NOUN
bracis-19047	61	26	.	.	PUNCT
bracis-19047	61	27	 	 	SPACE
bracis-19047	62	1	3	3	NUM
bracis-19047	62	2	.	.	X
bracis-19047	62	3	fig	fig	NOUN
bracis-19047	62	4	.	.	PUNCT
bracis-19047	63	1	3	3	X
bracis-19047	63	2	.	.	X
bracis-19047	63	3	cross	cross	NOUN
bracis-19047	63	4	-	-	NOUN
bracis-19047	63	5	propagation	propagation	NOUN
bracis-19047	63	6	in	in	ADP
bracis-19047	63	7	bipartite	bipartite	PROPN
bracis-19047	63	8	networks	network	NOUN
bracis-19047	63	9	.	.	PUNCT
bracis-19047	64	1	in	in	ADP
bracis-19047	64	2	(	(	PUNCT
bracis-19047	64	3	a	a	X
bracis-19047	64	4	)	)	PUNCT
bracis-19047	64	5	,	,	PUNCT
bracis-19047	64	6	labels	label	NOUN
bracis-19047	64	7	are	be	AUX
bracis-19047	64	8	propagated	propagate	VERB
bracis-19047	64	9	from	from	ADP
bracis-19047	64	10	top	top	ADJ
bracis-19047	64	11	layer	layer	NOUN
bracis-19047	64	12	to	to	ADP
bracis-19047	64	13	bottom	bottom	ADJ
bracis-19047	64	14	layer	layer	NOUN
bracis-19047	64	15	;	;	PUNCT
bracis-19047	64	16	in	in	ADP
bracis-19047	64	17	(	(	PUNCT
bracis-19047	64	18	b	b	NOUN
bracis-19047	64	19	)	)	PUNCT
bracis-19047	64	20	,	,	PUNCT
bracis-19047	64	21	the	the	DET
bracis-19047	64	22	process	process	NOUN
bracis-19047	64	23	is	be	AUX
bracis-19047	64	24	performed	perform	VERB
bracis-19047	64	25	in	in	ADP
bracis-19047	64	26	the	the	DET
bracis-19047	64	27	reverse	reverse	ADJ
bracis-19047	64	28	direction	direction	NOUN
bracis-19047	64	29	.	.	PUNCT
bracis-19047	65	1	full	full	ADJ
bracis-19047	65	2	size	size	NOUN
bracis-19047	65	3	image	image	NOUN
bracis-19047	65	4	2.2	2.2	NUM
bracis-19047	65	5	coarsening	coarsening	NOUN
bracis-19047	65	6	in	in	ADP
bracis-19047	65	7	bipartite	bipartite	PROPN
bracis-19047	65	8	networks	network	NOUN
bracis-19047	65	9	a	a	DET
bracis-19047	65	10	popular	popular	ADJ
bracis-19047	65	11	strategy	strategy	NOUN
bracis-19047	65	12	to	to	PART
bracis-19047	65	13	solve	solve	VERB
bracis-19047	65	14	large	large	ADJ
bracis-19047	65	15	-	-	PUNCT
bracis-19047	65	16	scale	scale	NOUN
bracis-19047	65	17	network	network	NOUN
bracis-19047	65	18	problems	problem	NOUN
bracis-19047	65	19	(	(	PUNCT
bracis-19047	65	20	or	or	CCONJ
bracis-19047	65	21	data	datum	NOUN
bracis-19047	65	22	-	-	PUNCT
bracis-19047	65	23	intensive	intensive	ADJ
bracis-19047	65	24	machine	machine	NOUN
bracis-19047	65	25	learning	learning	NOUN
bracis-19047	65	26	problems	problem	NOUN
bracis-19047	65	27	)	)	PUNCT
bracis-19047	65	28	is	be	AUX
bracis-19047	65	29	through	through	ADP
bracis-19047	65	30	a	a	DET
bracis-19047	65	31	multiscale	multiscale	ADJ
bracis-19047	65	32	analysis	analysis	NOUN
bracis-19047	65	33	of	of	ADP
bracis-19047	65	34	the	the	DET
bracis-19047	65	35	original	original	ADJ
bracis-19047	65	36	problem	problem	NOUN
bracis-19047	65	37	instance	instance	NOUN
bracis-19047	65	38	,	,	PUNCT
bracis-19047	65	39	which	which	PRON
bracis-19047	65	40	can	can	AUX
bracis-19047	65	41	involve	involve	VERB
bracis-19047	65	42	a	a	DET
bracis-19047	65	43	coarsening	coarsening	NOUN
bracis-19047	65	44	process	process	NOUN
bracis-19047	65	45	that	that	PRON
bracis-19047	65	46	builds	build	VERB
bracis-19047	65	47	a	a	DET
bracis-19047	65	48	sequence	sequence	NOUN
bracis-19047	65	49	of	of	ADP
bracis-19047	65	50	networks	network	NOUN
bracis-19047	65	51	at	at	ADP
bracis-19047	65	52	different	different	ADJ
bracis-19047	65	53	levels	level	NOUN
bracis-19047	65	54	of	of	ADP
bracis-19047	65	55	scale	scale	NOUN
bracis-19047	65	56	.	.	PUNCT
bracis-19047	66	1	coarsening	coarsen	VERB
bracis-19047	66	2	algorithms	algorithm	NOUN
bracis-19047	66	3	are	be	AUX
bracis-19047	66	4	commonly	commonly	ADV
bracis-19047	66	5	used	use	VERB
bracis-19047	66	6	as	as	ADP
bracis-19047	66	7	a	a	DET
bracis-19047	66	8	step	step	NOUN
bracis-19047	66	9	of	of	ADP
bracis-19047	66	10	the	the	DET
bracis-19047	66	11	multilevel	multilevel	ADJ
bracis-19047	66	12	method	method	NOUN
bracis-19047	66	13	,	,	PUNCT
bracis-19047	66	14	whose	whose	DET
bracis-19047	66	15	aim	aim	NOUN
bracis-19047	66	16	is	be	AUX
bracis-19047	66	17	to	to	PART
bracis-19047	66	18	reduce	reduce	VERB
bracis-19047	66	19	the	the	DET
bracis-19047	66	20	computational	computational	ADJ
bracis-19047	66	21	cost	cost	NOUN
bracis-19047	66	22	of	of	ADP
bracis-19047	66	23	a	a	DET
bracis-19047	66	24	target	target	NOUN
bracis-19047	66	25	algorithm	algorithm	NOUN
bracis-19047	66	26	(	(	PUNCT
bracis-19047	66	27	or	or	CCONJ
bracis-19047	66	28	a	a	DET
bracis-19047	66	29	task	task	NOUN
bracis-19047	66	30	)	)	PUNCT
bracis-19047	66	31	by	by	ADP
bracis-19047	66	32	applying	apply	VERB
bracis-19047	66	33	it	it	PRON
bracis-19047	66	34	on	on	ADP
bracis-19047	66	35	the	the	DET
bracis-19047	66	36	coarsest	coarse	ADJ
bracis-19047	66	37	network	network	NOUN
bracis-19047	66	38	.	.	PUNCT
bracis-19047	67	1	it	it	PRON
bracis-19047	67	2	operates	operate	VERB
bracis-19047	67	3	in	in	ADP
bracis-19047	67	4	three	three	NUM
bracis-19047	67	5	phases	phase	NOUN
bracis-19047	67	6	[	[	X
bracis-19047	67	7	25	25	NUM
bracis-19047	67	8	]	]	X
bracis-19047	67	9	:	:	PUNCT
bracis-19047	67	10	coarsening	coarsen	VERB
bracis-19047	67	11	phase	phase	NOUN
bracis-19047	67	12	:	:	PUNCT
bracis-19047	67	13	original	original	ADJ
bracis-19047	67	14	network	network	NOUN
bracis-19047	67	15	\(\mathcal	\(\mathcal	ADJ
bracis-19047	67	16	{	{	PUNCT
bracis-19047	67	17	g}_0\	g}_0\	NOUN
bracis-19047	67	18	)	)	PUNCT
bracis-19047	67	19	is	be	AUX
bracis-19047	67	20	iteratively	iteratively	ADV
bracis-19047	67	21	coarsened	coarsen	VERB
bracis-19047	67	22	into	into	ADP
bracis-19047	67	23	hierarchy	hierarchy	NOUN
bracis-19047	67	24	of	of	ADP
bracis-19047	67	25	smaller	small	ADJ
bracis-19047	67	26	networks	network	NOUN
bracis-19047	67	27	\(\{\mathcal	\(\{\mathcal	PROPN
bracis-19047	67	28	{	{	PUNCT
bracis-19047	67	29	g}_1	g}_1	PROPN
bracis-19047	67	30	,	,	PUNCT
bracis-19047	67	31	\mathcal	\mathcal	ADJ
bracis-19047	67	32	{	{	PUNCT
bracis-19047	67	33	g}_2	g}_2	PROPN
bracis-19047	67	34	,	,	PUNCT
bracis-19047	67	35	\cdots	\cdots	PROPN
bracis-19047	67	36	,	,	PUNCT
bracis-19047	67	37	\mathcal	\mathcal	PROPN
bracis-19047	67	38	{	{	PUNCT
bracis-19047	67	39	g}_\mathcal	g}_\mathcal	ADJ
bracis-19047	67	40	{	{	PUNCT
bracis-19047	67	41	h}\}\	h}\}\	NOUN
bracis-19047	67	42	)	)	PUNCT
bracis-19047	67	43	,	,	PUNCT
bracis-19047	67	44	wherein	wherein	SCONJ
bracis-19047	67	45	\(g_\mathcal	\(g_\mathcal	PROPN
bracis-19047	67	46	{	{	PUNCT
bracis-19047	67	47	h}\	h}\	PROPN
bracis-19047	67	48	)	)	PUNCT
bracis-19047	67	49	is	be	AUX
bracis-19047	67	50	the	the	DET
bracis-19047	67	51	coarsest	coarse	ADJ
bracis-19047	67	52	network	network	NOUN
bracis-19047	67	53	.	.	PUNCT
bracis-19047	68	1	the	the	DET
bracis-19047	68	2	process	process	NOUN
bracis-19047	68	3	implies	imply	VERB
bracis-19047	68	4	in	in	ADP
bracis-19047	68	5	collapsing	collapse	VERB
bracis-19047	68	6	nodes	node	NOUN
bracis-19047	68	7	and	and	CCONJ
bracis-19047	68	8	links	link	NOUN
bracis-19047	68	9	into	into	ADP
bracis-19047	68	10	single	single	ADJ
bracis-19047	68	11	entities	entity	NOUN
bracis-19047	68	12	,	,	PUNCT
bracis-19047	68	13	referred	refer	VERB
bracis-19047	68	14	to	to	ADP
bracis-19047	68	15	as	as	ADP
bracis-19047	68	16	super	super	ADJ
bracis-19047	68	17	-	-	ADJ
bracis-19047	68	18	node	node	ADJ
bracis-19047	68	19	and	and	CCONJ
bracis-19047	68	20	super	super	ADJ
bracis-19047	68	21	-	-	ADJ
bracis-19047	68	22	link	link	ADJ
bracis-19047	68	23	,	,	PUNCT
bracis-19047	68	24	respectively	respectively	ADV
bracis-19047	68	25	.	.	PUNCT
bracis-19047	69	1	solution	solution	NOUN
bracis-19047	69	2	finding	finding	NOUN
bracis-19047	69	3	phase	phase	NOUN
bracis-19047	69	4	:	:	PUNCT
bracis-19047	69	5	the	the	DET
bracis-19047	69	6	target	target	NOUN
bracis-19047	69	7	algorithm	algorithm	NOUN
bracis-19047	69	8	or	or	CCONJ
bracis-19047	69	9	a	a	DET
bracis-19047	69	10	task	task	NOUN
bracis-19047	69	11	is	be	AUX
bracis-19047	69	12	applied	apply	VERB
bracis-19047	69	13	or	or	CCONJ
bracis-19047	69	14	evaluated	evaluate	VERB
bracis-19047	69	15	in	in	ADP
bracis-19047	69	16	the	the	DET
bracis-19047	69	17	coarsest	coarse	ADJ
bracis-19047	69	18	representation	representation	NOUN
bracis-19047	69	19	\(g_\mathcal	\(g_\mathcal	PROPN
bracis-19047	69	20	{	{	PUNCT
bracis-19047	69	21	h}\	h}\	PROPN
bracis-19047	69	22	)	)	PUNCT
bracis-19047	69	23	.	.	PUNCT
bracis-19047	70	1	uncoarsening	uncoarsene	VERB
bracis-19047	70	2	phase	phase	NOUN
bracis-19047	70	3	:	:	PUNCT
bracis-19047	70	4	the	the	DET
bracis-19047	70	5	solution	solution	NOUN
bracis-19047	70	6	obtained	obtain	VERB
bracis-19047	70	7	in	in	ADP
bracis-19047	70	8	\(g_\mathcal	\(g_\mathcal	PROPN
bracis-19047	70	9	{	{	PUNCT
bracis-19047	70	10	h}\	h}\	PROPN
bracis-19047	70	11	)	)	PUNCT
bracis-19047	70	12	is	be	AUX
bracis-19047	70	13	projected	project	VERB
bracis-19047	70	14	back	back	ADV
bracis-19047	70	15	,	,	PUNCT
bracis-19047	70	16	through	through	ADP
bracis-19047	70	17	the	the	DET
bracis-19047	70	18	intermediate	intermediate	ADJ
bracis-19047	70	19	levels	level	NOUN
bracis-19047	70	20	\(\{g_{\mathcal	\(\{g_{\mathcal	ADJ
bracis-19047	70	21	{	{	PUNCT
bracis-19047	70	22	h}-1	h}-1	PROPN
bracis-19047	70	23	}	}	PUNCT
bracis-19047	70	24	,	,	PUNCT
bracis-19047	70	25	g_{\mathcal	g_{\mathcal	X
bracis-19047	70	26	{	{	PUNCT
bracis-19047	70	27	h}-2	h}-2	NUM
bracis-19047	70	28	}	}	PUNCT
bracis-19047	70	29	,	,	PUNCT
bracis-19047	70	30	\cdots	\cdots	PROPN
bracis-19047	70	31	,	,	PUNCT
bracis-19047	70	32	g_{1}\}\	g_{1}\}\	NOUN
bracis-19047	70	33	)	)	PUNCT
bracis-19047	70	34	,	,	PUNCT
bracis-19047	70	35	until	until	ADP
bracis-19047	70	36	\(g_0\	\(g_0\	PROPN
bracis-19047	70	37	)	)	PUNCT
bracis-19047	70	38	.	.	PUNCT
bracis-19047	71	1	it	it	PRON
bracis-19047	71	2	is	be	AUX
bracis-19047	71	3	notable	notable	ADJ
bracis-19047	71	4	that	that	SCONJ
bracis-19047	71	5	the	the	DET
bracis-19047	71	6	coarsening	coarsening	NOUN
bracis-19047	71	7	is	be	AUX
bracis-19047	71	8	the	the	DET
bracis-19047	71	9	key	key	ADJ
bracis-19047	71	10	component	component	NOUN
bracis-19047	71	11	of	of	ADP
bracis-19047	71	12	the	the	DET
bracis-19047	71	13	multilevel	multilevel	ADJ
bracis-19047	71	14	method	method	NOUN
bracis-19047	71	15	,	,	PUNCT
bracis-19047	71	16	since	since	SCONJ
bracis-19047	71	17	it	it	PRON
bracis-19047	71	18	is	be	AUX
bracis-19047	71	19	problem	problem	NOUN
bracis-19047	71	20	-	-	PUNCT
bracis-19047	71	21	independent	independent	ADJ
bracis-19047	71	22	,	,	PUNCT
bracis-19047	71	23	in	in	ADP
bracis-19047	71	24	contrast	contrast	NOUN
bracis-19047	71	25	to	to	ADP
bracis-19047	71	26	the	the	DET
bracis-19047	71	27	other	other	ADJ
bracis-19047	71	28	two	two	NUM
bracis-19047	71	29	phases	phase	NOUN
bracis-19047	71	30	that	that	PRON
bracis-19047	71	31	are	be	AUX
bracis-19047	71	32	designed	design	VERB
bracis-19047	71	33	according	accord	VERB
bracis-19047	71	34	to	to	ADP
bracis-19047	71	35	the	the	DET
bracis-19047	71	36	target	target	NOUN
bracis-19047	71	37	task	task	NOUN
bracis-19047	71	38	[	[	X
bracis-19047	71	39	25	25	NUM
bracis-19047	71	40	]	]	PUNCT
bracis-19047	71	41	.	.	PUNCT
bracis-19047	72	1	therefore	therefore	ADV
bracis-19047	72	2	,	,	PUNCT
bracis-19047	72	3	many	many	ADJ
bracis-19047	72	4	algorithms	algorithm	NOUN
bracis-19047	72	5	have	have	AUX
bracis-19047	72	6	been	be	AUX
bracis-19047	72	7	developed	develop	VERB
bracis-19047	72	8	and	and	CCONJ
bracis-19047	72	9	,	,	PUNCT
bracis-19047	72	10	recently	recently	ADV
bracis-19047	72	11	,	,	PUNCT
bracis-19047	72	12	some	some	DET
bracis-19047	72	13	strategies	strategy	NOUN
bracis-19047	72	14	able	able	ADJ
bracis-19047	72	15	to	to	PART
bracis-19047	72	16	handle	handle	VERB
bracis-19047	72	17	bipartite	bipartite	PROPN
bracis-19047	72	18	networks	network	NOUN
bracis-19047	72	19	have	have	AUX
bracis-19047	72	20	gained	gain	VERB
bracis-19047	72	21	notoriety	notoriety	NOUN
bracis-19047	72	22	.	.	PUNCT
bracis-19047	73	1	one	one	NUM
bracis-19047	73	2	of	of	ADP
bracis-19047	73	3	the	the	DET
bracis-19047	73	4	first	first	ADJ
bracis-19047	73	5	,	,	PUNCT
bracis-19047	73	6	proposed	propose	VERB
bracis-19047	73	7	in	in	ADP
bracis-19047	73	8	[	[	X
bracis-19047	73	9	22	22	NUM
bracis-19047	73	10	,	,	PUNCT
bracis-19047	73	11	23	23	NUM
bracis-19047	73	12	]	]	PUNCT
bracis-19047	73	13	,	,	PUNCT
bracis-19047	73	14	called	call	VERB
bracis-19047	73	15	opm\(_{hem}\	opm\(_{hem}\	PROPN
bracis-19047	73	16	)	)	PUNCT
bracis-19047	73	17	(	(	PUNCT
bracis-19047	73	18	one	one	NUM
bracis-19047	73	19	-	-	PUNCT
bracis-19047	73	20	mode	mode	NOUN
bracis-19047	73	21	projection	projection	NOUN
bracis-19047	73	22	-	-	PUNCT
bracis-19047	73	23	based	base	VERB
bracis-19047	73	24	matching	matching	NOUN
bracis-19047	73	25	algorithm	algorithm	NOUN
bracis-19047	73	26	)	)	PUNCT
bracis-19047	73	27	,	,	PUNCT
bracis-19047	73	28	decomposes	decompose	VERB
bracis-19047	73	29	the	the	DET
bracis-19047	73	30	bipartite	bipartite	PROPN
bracis-19047	73	31	structure	structure	NOUN
bracis-19047	73	32	into	into	ADP
bracis-19047	73	33	two	two	NUM
bracis-19047	73	34	unipartite	unipartite	ADJ
bracis-19047	73	35	networks	network	NOUN
bracis-19047	73	36	,	,	PUNCT
bracis-19047	73	37	one	one	NUM
bracis-19047	73	38	for	for	ADP
bracis-19047	73	39	each	each	DET
bracis-19047	73	40	layer	layer	NOUN
bracis-19047	73	41	.	.	PUNCT
bracis-19047	74	1	although	although	SCONJ
bracis-19047	74	2	it	it	PRON
bracis-19047	74	3	increases	increase	VERB
bracis-19047	74	4	the	the	DET
bracis-19047	74	5	range	range	NOUN
bracis-19047	74	6	of	of	ADP
bracis-19047	74	7	analysis	analysis	NOUN
bracis-19047	74	8	options	option	NOUN
bracis-19047	74	9	available	available	ADJ
bracis-19047	74	10	(	(	PUNCT
bracis-19047	74	11	as	as	ADP
bracis-19047	74	12	classic	classic	ADJ
bracis-19047	74	13	and	and	CCONJ
bracis-19047	74	14	already	already	ADV
bracis-19047	74	15	established	establish	VERB
bracis-19047	74	16	algorithms	algorithm	NOUN
bracis-19047	74	17	)	)	PUNCT
bracis-19047	74	18	,	,	PUNCT
bracis-19047	74	19	this	this	DET
bracis-19047	74	20	decomposition	decomposition	NOUN
bracis-19047	74	21	can	can	AUX
bracis-19047	74	22	lead	lead	VERB
bracis-19047	74	23	to	to	ADP
bracis-19047	74	24	loss	loss	NOUN
bracis-19047	74	25	of	of	ADP
bracis-19047	74	26	information	information	NOUN
bracis-19047	74	27	,	,	PUNCT
bracis-19047	74	28	reflecting	reflect	VERB
bracis-19047	74	29	in	in	ADP
bracis-19047	74	30	the	the	DET
bracis-19047	74	31	performance	performance	NOUN
bracis-19047	74	32	of	of	ADP
bracis-19047	74	33	the	the	DET
bracis-19047	74	34	algorithm	algorithm	NOUN
bracis-19047	74	35	.	.	PUNCT
bracis-19047	75	1	later	later	ADV
bracis-19047	75	2	,	,	PUNCT
bracis-19047	75	3	the	the	DET
bracis-19047	75	4	authors	author	NOUN
bracis-19047	75	5	in	in	ADP
bracis-19047	75	6	[	[	X
bracis-19047	75	7	27	27	NUM
bracis-19047	75	8	]	]	PUNCT
bracis-19047	75	9	introduced	introduce	VERB
bracis-19047	75	10	two	two	NUM
bracis-19047	75	11	coarsening	coarsening	NOUN
bracis-19047	75	12	algorithms	algorithm	NOUN
bracis-19047	75	13	,	,	PUNCT
bracis-19047	75	14	called	call	VERB
bracis-19047	75	15	rgmb	rgmb	NOUN
bracis-19047	75	16	(	(	PUNCT
bracis-19047	75	17	random	random	ADJ
bracis-19047	75	18	greedy	greedy	ADJ
bracis-19047	75	19	matching	matching	NOUN
bracis-19047	75	20	)	)	PUNCT
bracis-19047	75	21	and	and	CCONJ
bracis-19047	75	22	gmb	gmb	PROPN
bracis-19047	75	23	(	(	PUNCT
bracis-19047	75	24	greedy	greedy	ADJ
bracis-19047	75	25	matching	matching	NOUN
bracis-19047	75	26	)	)	PUNCT
bracis-19047	75	27	,	,	PUNCT
bracis-19047	75	28	that	that	PRON
bracis-19047	75	29	uses	use	VERB
bracis-19047	75	30	directly	directly	ADV
bracis-19047	75	31	the	the	DET
bracis-19047	75	32	bipartite	bipartite	ADJ
bracis-19047	75	33	structure	structure	NOUN
bracis-19047	75	34	to	to	PART
bracis-19047	75	35	select	select	VERB
bracis-19047	75	36	a	a	DET
bracis-19047	75	37	pairwise	pairwise	NOUN
bracis-19047	75	38	set	set	NOUN
bracis-19047	75	39	of	of	ADP
bracis-19047	75	40	nodes	node	NOUN
bracis-19047	75	41	.	.	PUNCT
bracis-19047	76	1	they	they	PRON
bracis-19047	76	2	use	use	VERB
bracis-19047	76	3	the	the	DET
bracis-19047	76	4	well	well	ADV
bracis-19047	76	5	-	-	PUNCT
bracis-19047	76	6	known	know	VERB
bracis-19047	76	7	and	and	CCONJ
bracis-19047	76	8	useful	useful	ADJ
bracis-19047	76	9	concept	concept	NOUN
bracis-19047	76	10	of	of	ADP
bracis-19047	76	11	a	a	DET
bracis-19047	76	12	two	two	NUM
bracis-19047	76	13	-	-	PUNCT
bracis-19047	76	14	hop	hop	NOUN
bracis-19047	76	15	neighborhood	neighborhood	NOUN
bracis-19047	76	16	.	.	PUNCT
bracis-19047	77	1	as	as	ADP
bracis-19047	77	2	a	a	DET
bracis-19047	77	3	drawback	drawback	NOUN
bracis-19047	77	4	,	,	PUNCT
bracis-19047	77	5	performing	perform	VERB
bracis-19047	77	6	this	this	DET
bracis-19047	77	7	search	search	NOUN
bracis-19047	77	8	on	on	ADP
bracis-19047	77	9	large	large	ADJ
bracis-19047	77	10	-	-	PUNCT
bracis-19047	77	11	scale	scale	NOUN
bracis-19047	77	12	bipartite	bipartite	NOUN
bracis-19047	77	13	networks	network	NOUN
bracis-19047	77	14	with	with	ADP
bracis-19047	77	15	a	a	DET
bracis-19047	77	16	high	high	ADJ
bracis-19047	77	17	link	link	NOUN
bracis-19047	77	18	-	-	PUNCT
bracis-19047	77	19	density	density	NOUN
bracis-19047	77	20	can	can	AUX
bracis-19047	77	21	be	be	AUX
bracis-19047	77	22	computationally	computationally	ADV
bracis-19047	77	23	impractical	impractical	ADJ
bracis-19047	77	24	.	.	PUNCT
bracis-19047	78	1	recently	recently	ADV
bracis-19047	78	2	,	,	PUNCT
bracis-19047	78	3	the	the	DET
bracis-19047	78	4	authors	author	NOUN
bracis-19047	78	5	in	in	ADP
bracis-19047	78	6	[	[	X
bracis-19047	78	7	24	24	NUM
bracis-19047	78	8	]	]	PUNCT
bracis-19047	78	9	proposed	propose	VERB
bracis-19047	78	10	a	a	DET
bracis-19047	78	11	coarsening	coarsening	NOUN
bracis-19047	78	12	based	base	VERB
bracis-19047	78	13	on	on	ADP
bracis-19047	78	14	label	label	NOUN
bracis-19047	78	15	propagation	propagation	NOUN
bracis-19047	78	16	through	through	ADP
bracis-19047	78	17	the	the	DET
bracis-19047	78	18	two	two	NUM
bracis-19047	78	19	-	-	PUNCT
bracis-19047	78	20	hop	hop	NOUN
bracis-19047	78	21	neighborhood	neighborhood	NOUN
bracis-19047	78	22	.	.	PUNCT
bracis-19047	79	1	despite	despite	SCONJ
bracis-19047	79	2	its	its	PRON
bracis-19047	79	3	accuracy	accuracy	NOUN
bracis-19047	79	4	,	,	PUNCT
bracis-19047	79	5	it	it	PRON
bracis-19047	79	6	uses	use	VERB
bracis-19047	79	7	a	a	DET
bracis-19047	79	8	standard	standard	ADJ
bracis-19047	79	9	and	and	CCONJ
bracis-19047	79	10	synchronous	synchronous	ADJ
bracis-19047	79	11	propagation	propagation	NOUN
bracis-19047	79	12	strategy	strategy	NOUN
bracis-19047	79	13	that	that	PRON
bracis-19047	79	14	can	can	AUX
bracis-19047	79	15	lead	lead	VERB
bracis-19047	79	16	to	to	ADP
bracis-19047	79	17	instability	instability	NOUN
bracis-19047	79	18	and	and	CCONJ
bracis-19047	79	19	it	it	PRON
bracis-19047	79	20	does	do	AUX
bracis-19047	79	21	not	not	PART
bracis-19047	79	22	guarantee	guarantee	VERB
bracis-19047	79	23	the	the	DET
bracis-19047	79	24	convergence	convergence	NOUN
bracis-19047	79	25	.	.	PUNCT
bracis-19047	80	1	the	the	DET
bracis-19047	80	2	growing	grow	VERB
bracis-19047	80	3	interest	interest	NOUN
bracis-19047	80	4	in	in	ADP
bracis-19047	80	5	coarsening	coarsen	VERB
bracis-19047	80	6	algorithms	algorithm	NOUN
bracis-19047	80	7	for	for	ADP
bracis-19047	80	8	bipartite	bipartite	ADJ
bracis-19047	80	9	networks	network	NOUN
bracis-19047	80	10	is	be	AUX
bracis-19047	80	11	recent	recent	ADJ
bracis-19047	80	12	and	and	CCONJ
bracis-19047	80	13	current	current	ADJ
bracis-19047	80	14	strategies	strategy	NOUN
bracis-19047	80	15	faces	face	VERB
bracis-19047	80	16	several	several	ADJ
bracis-19047	80	17	theoretical	theoretical	ADJ
bracis-19047	80	18	limitations	limitation	NOUN
bracis-19047	80	19	that	that	PRON
bracis-19047	80	20	remain	remain	VERB
bracis-19047	80	21	mostly	mostly	ADV
bracis-19047	80	22	unexplored	unexplored	ADJ
bracis-19047	80	23	,	,	PUNCT
bracis-19047	80	24	consequently	consequently	ADV
bracis-19047	80	25	,	,	PUNCT
bracis-19047	80	26	open	open	ADJ
bracis-19047	80	27	to	to	ADP
bracis-19047	80	28	scientific	scientific	ADJ
bracis-19047	80	29	exploration	exploration	NOUN
bracis-19047	80	30	.	.	PUNCT
bracis-19047	81	1	to	to	PART
bracis-19047	81	2	overcome	overcome	VERB
bracis-19047	81	3	these	these	DET
bracis-19047	81	4	issues	issue	NOUN
bracis-19047	81	5	,	,	PUNCT
bracis-19047	81	6	in	in	ADP
bracis-19047	81	7	the	the	DET
bracis-19047	81	8	next	next	ADJ
bracis-19047	81	9	section	section	NOUN
bracis-19047	81	10	,	,	PUNCT
bracis-19047	81	11	we	we	PRON
bracis-19047	81	12	present	present	VERB
bracis-19047	81	13	a	a	DET
bracis-19047	81	14	novel	novel	ADJ
bracis-19047	81	15	coarsening	coarsening	NOUN
bracis-19047	81	16	strategy	strategy	NOUN
bracis-19047	81	17	.	.	PUNCT
bracis-19047	82	1	3	3	NUM
bracis-19047	82	2	coarsening	coarsen	VERB
bracis-19047	82	3	via	via	ADP
bracis-19047	82	4	semi	semi	ADJ
bracis-19047	82	5	-	-	ADJ
bracis-19047	82	6	synchronous	synchronous	ADJ
bracis-19047	82	7	label	label	NOUN
bracis-19047	82	8	propagation	propagation	NOUN
bracis-19047	82	9	for	for	ADP
bracis-19047	82	10	bipartite	bipartite	ADJ
bracis-19047	82	11	networks	network	NOUN
bracis-19047	82	12	we	we	PRON
bracis-19047	82	13	design	design	VERB
bracis-19047	82	14	a	a	DET
bracis-19047	82	15	coarsening	coarsening	NOUN
bracis-19047	82	16	strategy	strategy	NOUN
bracis-19047	82	17	via	via	ADP
bracis-19047	82	18	semi	semi	ADJ
bracis-19047	82	19	-	-	ADJ
bracis-19047	82	20	synchronous	synchronous	ADJ
bracis-19047	82	21	label	label	NOUN
bracis-19047	82	22	propagation	propagation	NOUN
bracis-19047	82	23	for	for	ADP
bracis-19047	82	24	bipartite	bipartite	PROPN
bracis-19047	82	25	networks	network	NOUN
bracis-19047	82	26	(	(	PUNCT
bracis-19047	82	27	clpb	clpb	NOUN
bracis-19047	82	28	)	)	PUNCT
bracis-19047	82	29	.	.	PUNCT
bracis-19047	83	1	we	we	PRON
bracis-19047	83	2	use	use	VERB
bracis-19047	83	3	the	the	DET
bracis-19047	83	4	cross	cross	ADJ
bracis-19047	83	5	-	-	ADJ
bracis-19047	83	6	propagation	propagation	NOUN
bracis-19047	83	7	concept	concept	NOUN
bracis-19047	83	8	to	to	PART
bracis-19047	83	9	diffuse	diffuse	VERB
bracis-19047	83	10	labels	label	NOUN
bracis-19047	83	11	between	between	ADP
bracis-19047	83	12	layers	layer	NOUN
bracis-19047	83	13	.	.	PUNCT
bracis-19047	84	1	after	after	ADP
bracis-19047	84	2	the	the	DET
bracis-19047	84	3	convergence	convergence	NOUN
bracis-19047	84	4	,	,	PUNCT
bracis-19047	84	5	nodes	node	NOUN
bracis-19047	84	6	in	in	ADP
bracis-19047	84	7	the	the	DET
bracis-19047	84	8	same	same	ADJ
bracis-19047	84	9	layer	layer	NOUN
bracis-19047	84	10	that	that	PRON
bracis-19047	84	11	belong	belong	VERB
bracis-19047	84	12	to	to	ADP
bracis-19047	84	13	the	the	DET
bracis-19047	84	14	same	same	ADJ
bracis-19047	84	15	label	label	NOUN
bracis-19047	84	16	will	will	AUX
bracis-19047	84	17	be	be	AUX
bracis-19047	84	18	collapsed	collapse	VERB
bracis-19047	84	19	into	into	ADP
bracis-19047	84	20	a	a	DET
bracis-19047	84	21	single	single	ADJ
bracis-19047	84	22	super	super	NOUN
bracis-19047	84	23	-	-	NOUN
bracis-19047	84	24	node	node	ADJ
bracis-19047	84	25	.	.	PUNCT
bracis-19047	85	1	3.1	3.1	NUM
bracis-19047	85	2	algorithm	algorithm	NOUN
bracis-19047	85	3	a	a	DET
bracis-19047	85	4	label	label	NOUN
bracis-19047	85	5	is	be	AUX
bracis-19047	85	6	defined	define	VERB
bracis-19047	85	7	as	as	ADP
bracis-19047	85	8	a	a	DET
bracis-19047	85	9	tuple	tuple	NOUN
bracis-19047	85	10	\(\mathcal	\(\mathcal	NOUN
bracis-19047	85	11	{	{	PUNCT
bracis-19047	85	12	l}_u(l	l}_u(l	PROPN
bracis-19047	85	13	,	,	PUNCT
bracis-19047	85	14	\beta	\beta	PROPN
bracis-19047	85	15	)	)	PUNCT
bracis-19047	85	16	\	\	PROPN
bracis-19047	85	17	)	)	PUNCT
bracis-19047	85	18	,	,	PUNCT
bracis-19047	85	19	wherein	wherein	SCONJ
bracis-19047	85	20	l	l	NOUN
bracis-19047	85	21	is	be	AUX
bracis-19047	85	22	the	the	DET
bracis-19047	85	23	current	current	ADJ
bracis-19047	85	24	label	label	NOUN
bracis-19047	85	25	and	and	CCONJ
bracis-19047	85	26	\(\beta	\(\beta	DET
bracis-19047	85	27	\in	\in	PROPN
bracis-19047	85	28	[	[	X
bracis-19047	85	29	0,1	0,1	NUM
bracis-19047	85	30	]	]	X
bracis-19047	86	1	\subset	\subset	ADP
bracis-19047	86	2	\mathbb	\mathbb	PROPN
bracis-19047	86	3	{	{	PUNCT
bracis-19047	86	4	r}^+\	r}^+\	NOUN
bracis-19047	86	5	)	)	PUNCT
bracis-19047	86	6	is	be	AUX
bracis-19047	86	7	its	its	PRON
bracis-19047	86	8	score	score	NOUN
bracis-19047	86	9	.	.	PUNCT
bracis-19047	87	1	at	at	ADP
bracis-19047	87	2	first	first	ADV
bracis-19047	87	3	,	,	PUNCT
bracis-19047	87	4	each	each	PRON
bracis-19047	87	5	node	node	VERB
bracis-19047	87	6	\(u	\(u	ADJ
bracis-19047	87	7	\in	\in	PROPN
bracis-19047	87	8	\mathcal	\mathcal	PROPN
bracis-19047	87	9	{	{	PUNCT
bracis-19047	87	10	v}\	v}\	PROPN
bracis-19047	87	11	)	)	PUNCT
bracis-19047	87	12	is	be	AUX
bracis-19047	87	13	initialized	initialize	VERB
bracis-19047	87	14	with	with	ADP
bracis-19047	87	15	a	a	DET
bracis-19047	87	16	starting	start	VERB
bracis-19047	87	17	label	label	NOUN
bracis-19047	87	18	\(\mathcal	\(\mathcal	ADJ
bracis-19047	87	19	{	{	PUNCT
bracis-19047	87	20	l}_u=(u	l}_u=(u	PROPN
bracis-19047	87	21	,	,	PUNCT
bracis-19047	87	22	\nicefrac	\nicefrac	PROPN
bracis-19047	87	23	{	{	PUNCT
bracis-19047	87	24	1.0}{\sqrt{\kappa	1.0}{\sqrt{\kappa	PROPN
bracis-19047	87	25	(	(	PUNCT
bracis-19047	87	26	u)}})\	u)}})\	PROPN
bracis-19047	87	27	)	)	PUNCT
bracis-19047	87	28	,	,	PUNCT
bracis-19047	87	29	i.e.	i.e.	X
bracis-19047	87	30	the	the	DET
bracis-19047	87	31	initial	initial	ADJ
bracis-19047	87	32	\(\mathcal	\(\mathcal	ADJ
bracis-19047	87	33	{	{	PUNCT
bracis-19047	87	34	l}_u\	l}_u\	NOUN
bracis-19047	87	35	)	)	PUNCT
bracis-19047	87	36	is	be	AUX
bracis-19047	87	37	denoted	denote	VERB
bracis-19047	87	38	by	by	ADP
bracis-19047	87	39	its	its	PRON
bracis-19047	87	40	i	i	PROPN
bracis-19047	87	41	d	d	PROPN
bracis-19047	87	42	(	(	PUNCT
bracis-19047	87	43	or	or	CCONJ
bracis-19047	87	44	name	name	NOUN
bracis-19047	87	45	)	)	PUNCT
bracis-19047	87	46	with	with	ADP
bracis-19047	87	47	a	a	DET
bracis-19047	87	48	maximum	maximum	ADJ
bracis-19047	87	49	score	score	NOUN
bracis-19047	87	50	,	,	PUNCT
bracis-19047	88	1	i.e.	i.e.	X
bracis-19047	88	2	\(\beta	\(\beta	X
bracis-19047	88	3	=	=	NOUN
bracis-19047	88	4	1.0\	1.0\	NUM
bracis-19047	88	5	)	)	PUNCT
bracis-19047	88	6	.	.	PUNCT
bracis-19047	89	1	to	to	PART
bracis-19047	89	2	reduce	reduce	VERB
bracis-19047	89	3	the	the	DET
bracis-19047	89	4	influence	influence	NOUN
bracis-19047	89	5	of	of	ADP
bracis-19047	89	6	hub	hub	NOUN
bracis-19047	89	7	nodesfootnote	nodesfootnote	PROPN
bracis-19047	89	8	1	1	NUM
bracis-19047	89	9	,	,	PUNCT
bracis-19047	89	10	in	in	ADP
bracis-19047	89	11	all	all	DET
bracis-19047	89	12	iteration	iteration	NOUN
bracis-19047	89	13	,	,	PUNCT
bracis-19047	89	14	\(\beta	\(\beta	NOUN
bracis-19047	89	15	\	\	NOUN
bracis-19047	89	16	)	)	PUNCT
bracis-19047	89	17	must	must	AUX
bracis-19047	89	18	be	be	AUX
bracis-19047	89	19	normalized	normalize	VERB
bracis-19047	89	20	by	by	ADP
bracis-19047	89	21	its	its	PRON
bracis-19047	89	22	node	node	NOUN
bracis-19047	89	23	degree	degree	NOUN
bracis-19047	89	24	,	,	PUNCT
bracis-19047	89	25	as	as	SCONJ
bracis-19047	89	26	follows	follow	VERB
bracis-19047	89	27	:	:	PUNCT
bracis-19047	89	28	$	$	SYM
bracis-19047	89	29	$	$	SYM
bracis-19047	89	30	\begin{aligned	\begin{aligne	VERB
bracis-19047	89	31	}	}	PUNCT
bracis-19047	89	32	\mathcal	\mathcal	ADJ
bracis-19047	89	33	{	{	PUNCT
bracis-19047	89	34	l}_u^{'}=\left	l}_u^{'}=\left	NOUN
bracis-19047	89	35	(	(	PUNCT
bracis-19047	89	36	l_i	l_i	NOUN
bracis-19047	89	37	,	,	PUNCT
bracis-19047	89	38	\frac{\beta	\frac{\beta	X
bracis-19047	89	39	_	_	ADJ
bracis-19047	89	40	i}{\sqrt{\kappa	i}{\sqrt{\kappa	ADJ
bracis-19047	89	41	(	(	PUNCT
bracis-19047	89	42	u)}}\right	u)}}\right	PROPN
bracis-19047	89	43	)	)	PUNCT
bracis-19047	89	44	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	90	1	(	(	PUNCT
bracis-19047	90	2	2	2	X
bracis-19047	90	3	)	)	PUNCT
bracis-19047	90	4	each	each	DET
bracis-19047	90	5	step	step	NOUN
bracis-19047	90	6	propagates	propagate	VERB
bracis-19047	90	7	a	a	DET
bracis-19047	90	8	new	new	ADJ
bracis-19047	90	9	label	label	NOUN
bracis-19047	90	10	to	to	ADP
bracis-19047	90	11	a	a	DET
bracis-19047	90	12	receiver	receiver	ADJ
bracis-19047	90	13	node	node	NOUN
bracis-19047	90	14	u	u	NOUN
bracis-19047	90	15	selecting	select	VERB
bracis-19047	90	16	the	the	DET
bracis-19047	90	17	label	label	NOUN
bracis-19047	90	18	with	with	ADP
bracis-19047	90	19	maximum	maximum	ADJ
bracis-19047	90	20	\(\beta	\(\beta	ADJ
bracis-19047	90	21	\	\	NOUN
bracis-19047	90	22	)	)	PUNCT
bracis-19047	90	23	from	from	ADP
bracis-19047	90	24	the	the	DET
bracis-19047	90	25	union	union	NOUN
bracis-19047	90	26	of	of	ADP
bracis-19047	90	27	its	its	PRON
bracis-19047	90	28	neighbors	neighbor	NOUN
bracis-19047	90	29	’	’	PART
bracis-19047	90	30	labels	label	NOUN
bracis-19047	90	31	,	,	PUNCT
bracis-19047	90	32	i.e.	i.e.	X
bracis-19047	90	33	\(\mathcal	\(\mathcal	X
bracis-19047	90	34	{	{	PUNCT
bracis-19047	90	35	l}_u	l}_u	PROPN
bracis-19047	90	36	=	=	PUNCT
bracis-19047	90	37	\cup	\cup	X
bracis-19047	90	38	\mathcal	\mathcal	PROPN
bracis-19047	90	39	{	{	PUNCT
bracis-19047	90	40	l}_v\	l}_v\	NOUN
bracis-19047	90	41	\forall	\forall	PRON
bracis-19047	90	42	\	\	PROPN
bracis-19047	90	43	v	v	ADP
bracis-19047	90	44	\in	\in	PROPN
bracis-19047	90	45	\vargamma	\vargamma	PROPN
bracis-19047	90	46	_	_	NOUN
bracis-19047	90	47	1(u)\	1(u)\	NUM
bracis-19047	90	48	)	)	PUNCT
bracis-19047	90	49	,	,	PUNCT
bracis-19047	90	50	according	accord	VERB
bracis-19047	90	51	to	to	ADP
bracis-19047	90	52	the	the	DET
bracis-19047	90	53	following	follow	VERB
bracis-19047	90	54	filtering	filter	VERB
bracis-19047	90	55	rules	rule	NOUN
bracis-19047	90	56	:	:	PUNCT
bracis-19047	90	57	1	1	X
bracis-19047	90	58	.	.	X
bracis-19047	90	59	equal	equal	ADJ
bracis-19047	90	60	labels	label	NOUN
bracis-19047	90	61	\(\mathcal	\(\mathcal	ADJ
bracis-19047	90	62	{	{	PUNCT
bracis-19047	90	63	l}^{eq	l}^{eq	VERB
bracis-19047	90	64	}	}	PUNCT
bracis-19047	90	65	\subseteq	\subseteq	PROPN
bracis-19047	90	66	\mathcal	\mathcal	PROPN
bracis-19047	90	67	{	{	PUNCT
bracis-19047	90	68	l}u\	l}u\	NOUN
bracis-19047	90	69	)	)	PUNCT
bracis-19047	90	70	are	be	AUX
bracis-19047	90	71	merged	merge	VERB
bracis-19047	90	72	and	and	CCONJ
bracis-19047	90	73	the	the	DET
bracis-19047	90	74	new	new	ADJ
bracis-19047	90	75	\(\beta	\(\beta	INTJ
bracis-19047	90	76	^{'}\	^{'}\	NOUN
bracis-19047	90	77	)	)	PUNCT
bracis-19047	90	78	is	be	AUX
bracis-19047	90	79	composed	compose	VERB
bracis-19047	90	80	by	by	ADP
bracis-19047	90	81	the	the	DET
bracis-19047	90	82	sum	sum	NOUN
bracis-19047	90	83	of	of	ADP
bracis-19047	90	84	its	its	PRON
bracis-19047	90	85	belonging	belonging	NOUN
bracis-19047	90	86	scores	score	NOUN
bracis-19047	90	87	:	:	PUNCT
bracis-19047	90	88	$	$	SYM
bracis-19047	90	89	$	$	SYM
bracis-19047	90	90	\begin{aligned	\begin{aligne	VERB
bracis-19047	90	91	}	}	PUNCT
bracis-19047	90	92	\beta	\beta	PROPN
bracis-19047	90	93	^	^	PUNCT
bracis-19047	90	94	{	{	PUNCT
bracis-19047	90	95	'	'	PUNCT
bracis-19047	90	96	}	}	PUNCT
bracis-19047	90	97	=	=	VERB
bracis-19047	90	98	\sum	\sum	NOUN
bracis-19047	90	99	_	_	PUNCT
bracis-19047	90	100	{	{	PUNCT
bracis-19047	90	101	(	(	PUNCT
bracis-19047	90	102	l	l	NOUN
bracis-19047	90	103	,	,	PUNCT
bracis-19047	90	104	\beta	\beta	PROPN
bracis-19047	90	105	)	)	PUNCT
bracis-19047	90	106	\in	\in	PROPN
bracis-19047	90	107	\mathcal	\mathcal	PROPN
bracis-19047	90	108	{	{	PUNCT
bracis-19047	90	109	l}^{eq	l}^{eq	NOUN
bracis-19047	90	110	}	}	PUNCT
bracis-19047	90	111	}	}	PUNCT
bracis-19047	90	112	\beta	\beta	PROPN
bracis-19047	90	113	,	,	PUNCT
bracis-19047	90	114	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	90	115	(	(	PUNCT
bracis-19047	90	116	3	3	NUM
bracis-19047	90	117	)	)	PUNCT
bracis-19047	90	118	2	2	NUM
bracis-19047	90	119	.	.	PUNCT
bracis-19047	91	1	the	the	DET
bracis-19047	91	2	belonging	belonging	NOUN
bracis-19047	91	3	scores	score	NOUN
bracis-19047	91	4	of	of	ADP
bracis-19047	91	5	the	the	DET
bracis-19047	91	6	remaining	remain	VERB
bracis-19047	91	7	labels	label	NOUN
bracis-19047	91	8	are	be	AUX
bracis-19047	91	9	normalized	normalize	VERB
bracis-19047	91	10	,	,	PUNCT
bracis-19047	91	11	i.e.	i.e.	X
bracis-19047	91	12	:	:	PUNCT
bracis-19047	91	13	$	$	SYM
bracis-19047	91	14	$	$	SYM
bracis-19047	91	15	\begin{aligned	\begin{aligne	VERB
bracis-19047	91	16	}	}	PUNCT
bracis-19047	91	17	\mathcal	\mathcal	ADJ
bracis-19047	91	18	{	{	PUNCT
bracis-19047	91	19	l}_u	l}_u	PROPN
bracis-19047	91	20	=	=	SYM
bracis-19047	91	21	\{(l_1	\{(l_1	PROPN
bracis-19047	91	22	,	,	PUNCT
bracis-19047	91	23	\frac{\beta	\frac{\beta	X
bracis-19047	91	24	_	_	NOUN
bracis-19047	91	25	1}{\beta	1}{\beta	NOUN
bracis-19047	91	26	^{sum	^{sum	ADP
bracis-19047	91	27	}	}	PUNCT
bracis-19047	91	28	}	}	PUNCT
bracis-19047	91	29	)	)	PUNCT
bracis-19047	91	30	,	,	PUNCT
bracis-19047	91	31	(	(	PUNCT
bracis-19047	91	32	l_2	l_2	PROPN
bracis-19047	91	33	,	,	PUNCT
bracis-19047	91	34	\frac{\beta	\frac{\beta	X
bracis-19047	91	35	_	_	NOUN
bracis-19047	91	36	2}{\beta	2}{\beta	ADJ
bracis-19047	91	37	^{sum	^{sum	ADP
bracis-19047	91	38	}	}	PUNCT
bracis-19047	91	39	}	}	PUNCT
bracis-19047	91	40	)	)	PUNCT
bracis-19047	91	41	,	,	PUNCT
bracis-19047	91	42	\dots	\dot	NOUN
bracis-19047	91	43	,	,	PUNCT
bracis-19047	91	44	(	(	PUNCT
bracis-19047	91	45	l_\gamma	l_\gamma	ADJ
bracis-19047	91	46	,	,	PUNCT
bracis-19047	91	47	\frac{\beta	\frac{\beta	X
bracis-19047	91	48	_	_	NOUN
bracis-19047	91	49	\gamma	\gamma	PROPN
bracis-19047	91	50	}	}	PUNCT
bracis-19047	91	51	{	{	PUNCT
bracis-19047	91	52	\beta	\beta	PROPN
bracis-19047	91	53	^{sum}})\	^{sum}})\	ADP
bracis-19047	91	54	}	}	PUNCT
bracis-19047	91	55	,	,	PUNCT
bracis-19047	91	56	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	91	57	(	(	PUNCT
bracis-19047	91	58	4	4	NUM
bracis-19047	91	59	)	)	PUNCT
bracis-19047	91	60	$	$	SYM
bracis-19047	91	61	$	$	SYM
bracis-19047	91	62	\begin{aligned	\begin{aligne	VERB
bracis-19047	91	63	}	}	PUNCT
bracis-19047	91	64	\beta	\beta	PROPN
bracis-19047	91	65	^{sum	^{sum	ADP
bracis-19047	91	66	}	}	PUNCT
bracis-19047	91	67	=	=	NOUN
bracis-19047	91	68	\sum	\sum	NOUN
bracis-19047	91	69	_	_	PUNCT
bracis-19047	91	70	{	{	PUNCT
bracis-19047	91	71	i=1}^\gamma	i=1}^\gamma	PROPN
bracis-19047	91	72	\beta	\beta	PROPN
bracis-19047	91	73	_	_	PROPN
bracis-19047	92	1	i	i	PRON
bracis-19047	92	2	,	,	PUNCT
bracis-19047	92	3	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	92	4	(	(	PUNCT
bracis-19047	92	5	5	5	NUM
bracis-19047	92	6	)	)	PUNCT
bracis-19047	92	7	where	where	SCONJ
bracis-19047	92	8	\(\gamma	\(\gamma	ADP
bracis-19047	92	9	\	\	NOUN
bracis-19047	92	10	)	)	PUNCT
bracis-19047	92	11	is	be	AUX
bracis-19047	92	12	the	the	DET
bracis-19047	92	13	number	number	NOUN
bracis-19047	92	14	of	of	ADP
bracis-19047	92	15	remaining	remain	VERB
bracis-19047	92	16	labels	label	NOUN
bracis-19047	92	17	.	.	PUNCT
bracis-19047	93	1	3	3	X
bracis-19047	93	2	.	.	X
bracis-19047	93	3	the	the	DET
bracis-19047	93	4	label	label	NOUN
bracis-19047	93	5	with	with	ADP
bracis-19047	93	6	the	the	DET
bracis-19047	93	7	largest	large	ADJ
bracis-19047	93	8	\(\beta	\(\beta	ADJ
bracis-19047	93	9	\	\	NOUN
bracis-19047	93	10	)	)	PUNCT
bracis-19047	93	11	is	be	AUX
bracis-19047	93	12	selected	select	VERB
bracis-19047	93	13	:	:	PUNCT
bracis-19047	93	14	$	$	SYM
bracis-19047	93	15	$	$	SYM
bracis-19047	93	16	\begin{aligned	\begin{aligne	VERB
bracis-19047	93	17	}	}	PUNCT
bracis-19047	93	18	\mathcal	\mathcal	PROPN
bracis-19047	93	19	{	{	PUNCT
bracis-19047	93	20	l}_u^	l}_u^	PROPN
bracis-19047	93	21	{	{	PUNCT
bracis-19047	93	22	'	'	PUNCT
bracis-19047	93	23	}	}	PUNCT
bracis-19047	93	24	=	=	SYM
bracis-19047	93	25	\mathop	\mathop	PROPN
bracis-19047	93	26	{	{	PUNCT
bracis-19047	93	27	{	{	PUNCT
bracis-19047	93	28	{	{	PUNCT
bracis-19047	93	29	\,\mathrm{arg\,max}\,}}}\limits	\,\mathrm{arg\,max}\,}}}\limit	NOUN
bracis-19047	93	30	_	_	PUNCT
bracis-19047	93	31	{	{	PUNCT
bracis-19047	93	32	{	{	PUNCT
bracis-19047	93	33	(	(	PUNCT
bracis-19047	93	34	l,\beta	l,\beta	PROPN
bracis-19047	93	35	)	)	PUNCT
bracis-19047	93	36	\in	\in	PROPN
bracis-19047	93	37	\mathcal	\mathcal	PROPN
bracis-19047	93	38	{	{	PUNCT
bracis-19047	93	39	l}_u	l}_u	NOUN
bracis-19047	93	40	}	}	PUNCT
bracis-19047	93	41	}	}	PUNCT
bracis-19047	93	42	\mathcal	\mathcal	ADJ
bracis-19047	93	43	{	{	PUNCT
bracis-19047	93	44	l}_u	l}_u	NOUN
bracis-19047	93	45	.	.	PUNCT
bracis-19047	94	1	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	94	2	(	(	PUNCT
bracis-19047	94	3	6	6	NUM
bracis-19047	94	4	)	)	PUNCT
bracis-19047	94	5	4	4	NUM
bracis-19047	94	6	.	.	PUNCT
bracis-19047	95	1	the	the	DET
bracis-19047	95	2	size	size	NOUN
bracis-19047	95	3	of	of	ADP
bracis-19047	95	4	the	the	DET
bracis-19047	95	5	coarsest	coarse	ADJ
bracis-19047	95	6	network	network	NOUN
bracis-19047	95	7	is	be	AUX
bracis-19047	95	8	naturally	naturally	ADV
bracis-19047	95	9	controlled	control	VERB
bracis-19047	95	10	by	by	ADP
bracis-19047	95	11	the	the	DET
bracis-19047	95	12	user	user	NOUN
bracis-19047	95	13	,	,	PUNCT
bracis-19047	95	14	i.e.	i.e.	X
bracis-19047	95	15	require	require	VERB
bracis-19047	95	16	defining	define	VERB
bracis-19047	95	17	a	a	DET
bracis-19047	95	18	number	number	NOUN
bracis-19047	95	19	of	of	ADP
bracis-19047	95	20	reduction	reduction	NOUN
bracis-19047	95	21	levels	level	NOUN
bracis-19047	95	22	,	,	PUNCT
bracis-19047	95	23	a	a	DET
bracis-19047	95	24	reduction	reduction	NOUN
bracis-19047	95	25	rate	rate	NOUN
bracis-19047	95	26	or	or	CCONJ
bracis-19047	95	27	any	any	DET
bracis-19047	95	28	other	other	ADJ
bracis-19047	95	29	parameter	parameter	NOUN
bracis-19047	95	30	to	to	PART
bracis-19047	95	31	fit	fit	VERB
bracis-19047	95	32	a	a	DET
bracis-19047	95	33	desired	desire	VERB
bracis-19047	95	34	network	network	NOUN
bracis-19047	95	35	size	size	NOUN
bracis-19047	95	36	.	.	PUNCT
bracis-19047	96	1	here	here	ADV
bracis-19047	96	2	,	,	PUNCT
bracis-19047	96	3	the	the	DET
bracis-19047	96	4	minimum	minimum	ADJ
bracis-19047	96	5	number	number	NOUN
bracis-19047	96	6	of	of	ADP
bracis-19047	96	7	labels	label	NOUN
bracis-19047	96	8	\(\eta	\(\eta	NOUN
bracis-19047	96	9	\	\	NOUN
bracis-19047	96	10	)	)	PUNCT
bracis-19047	96	11	for	for	ADP
bracis-19047	96	12	each	each	DET
bracis-19047	96	13	layer	layer	NOUN
bracis-19047	96	14	is	be	AUX
bracis-19047	96	15	a	a	DET
bracis-19047	96	16	user	user	NOUN
bracis-19047	96	17	-	-	PUNCT
bracis-19047	96	18	defined	define	VERB
bracis-19047	96	19	parameter	parameter	NOUN
bracis-19047	96	20	.	.	PUNCT
bracis-19047	97	1	a	a	DET
bracis-19047	97	2	node	node	NOUN
bracis-19047	97	3	\(u	\(u	ADJ
bracis-19047	97	4	\in	\in	PROPN
bracis-19047	97	5	\mathcal	\mathcal	PROPN
bracis-19047	97	6	{	{	PUNCT
bracis-19047	97	7	v}^i\	v}^i\	NOUN
bracis-19047	97	8	)	)	PUNCT
bracis-19047	97	9	,	,	PUNCT
bracis-19047	97	10	with	with	ADP
bracis-19047	97	11	\(i\in	\(i\in	PROPN
bracis-19047	97	12	\{1,2\}\	\{1,2\}\	PROPN
bracis-19047	97	13	)	)	PUNCT
bracis-19047	97	14	define	define	VERB
bracis-19047	97	15	a	a	DET
bracis-19047	97	16	layer	layer	NOUN
bracis-19047	97	17	,	,	PUNCT
bracis-19047	97	18	is	be	AUX
bracis-19047	97	19	only	only	ADV
bracis-19047	97	20	allowed	allow	VERB
bracis-19047	97	21	to	to	PART
bracis-19047	97	22	update	update	VERB
bracis-19047	97	23	its	its	PRON
bracis-19047	97	24	label	label	NOUN
bracis-19047	97	25	if	if	SCONJ
bracis-19047	97	26	,	,	PUNCT
bracis-19047	97	27	and	and	CCONJ
bracis-19047	97	28	only	only	ADV
bracis-19047	97	29	if	if	SCONJ
bracis-19047	97	30	,	,	PUNCT
bracis-19047	97	31	the	the	DET
bracis-19047	97	32	number	number	NOUN
bracis-19047	97	33	of	of	ADP
bracis-19047	97	34	labels	label	NOUN
bracis-19047	97	35	in	in	ADP
bracis-19047	97	36	the	the	DET
bracis-19047	97	37	layer	layer	NOUN
bracis-19047	97	38	\(|\mathcal	\(|\mathcal	ADP
bracis-19047	97	39	{	{	PUNCT
bracis-19047	97	40	l}^i|\	l}^i|\	NOUN
bracis-19047	97	41	)	)	PUNCT
bracis-19047	97	42	remains	remain	VERB
bracis-19047	97	43	equal	equal	ADJ
bracis-19047	97	44	to	to	ADP
bracis-19047	97	45	or	or	CCONJ
bracis-19047	97	46	greater	great	ADJ
bracis-19047	97	47	than	than	ADP
bracis-19047	97	48	\(\eta	\(\eta	NOUN
bracis-19047	97	49	^i\	^i\	NOUN
bracis-19047	97	50	)	)	PUNCT
bracis-19047	97	51	,	,	PUNCT
bracis-19047	97	52	i.e.	i.e.	X
bracis-19047	97	53	:	:	PUNCT
bracis-19047	97	54	$	$	SYM
bracis-19047	97	55	$	$	SYM
bracis-19047	97	56	\begin{aligned	\begin{aligne	VERB
bracis-19047	97	57	}	}	PUNCT
bracis-19047	97	58	|\mathcal	|\mathcal	ADJ
bracis-19047	97	59	{	{	PUNCT
bracis-19047	97	60	l}^i|	l}^i|	PROPN
bracis-19047	97	61	\le	\le	PROPN
bracis-19047	97	62	\eta	\eta	PROPN
bracis-19047	97	63	^i	^i	NOUN
bracis-19047	97	64	.	.	PUNCT
bracis-19047	98	1	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	98	2	(	(	PUNCT
bracis-19047	98	3	7	7	NUM
bracis-19047	98	4	)	)	PUNCT
bracis-19047	98	5	5	5	NUM
bracis-19047	98	6	.	.	PUNCT
bracis-19047	99	1	at	at	ADP
bracis-19047	99	2	last	last	ADJ
bracis-19047	99	3	,	,	PUNCT
bracis-19047	99	4	a	a	DET
bracis-19047	99	5	classical	classical	ADJ
bracis-19047	99	6	issue	issue	NOUN
bracis-19047	99	7	in	in	ADP
bracis-19047	99	8	the	the	DET
bracis-19047	99	9	multilevel	multilevel	ADJ
bracis-19047	99	10	context	context	NOUN
bracis-19047	99	11	is	be	AUX
bracis-19047	99	12	that	that	SCONJ
bracis-19047	99	13	super	super	ADJ
bracis-19047	99	14	-	-	ADJ
bracis-19047	99	15	nodes	node	NOUN
bracis-19047	99	16	tend	tend	VERB
bracis-19047	99	17	to	to	PART
bracis-19047	99	18	be	be	AUX
bracis-19047	99	19	highly	highly	ADV
bracis-19047	99	20	unbalanced	unbalanced	ADJ
bracis-19047	99	21	at	at	ADP
bracis-19047	99	22	each	each	DET
bracis-19047	99	23	level	level	NOUN
bracis-19047	99	24	[	[	X
bracis-19047	99	25	25	25	NUM
bracis-19047	99	26	]	]	PUNCT
bracis-19047	99	27	.	.	PUNCT
bracis-19047	100	1	therefore	therefore	ADV
bracis-19047	100	2	,	,	PUNCT
bracis-19047	100	3	is	be	AUX
bracis-19047	100	4	common	common	ADJ
bracis-19047	100	5	to	to	PART
bracis-19047	100	6	constrain	constrain	VERB
bracis-19047	100	7	the	the	DET
bracis-19047	100	8	size	size	NOUN
bracis-19047	100	9	of	of	ADP
bracis-19047	100	10	the	the	DET
bracis-19047	100	11	super	super	NOUN
bracis-19047	100	12	-	-	NOUN
bracis-19047	100	13	nodes	node	NOUN
bracis-19047	100	14	from	from	ADP
bracis-19047	100	15	an	an	DET
bracis-19047	100	16	upper	upper	ADV
bracis-19047	100	17	-	-	PUNCT
bracis-19047	100	18	bound	bind	VERB
bracis-19047	100	19	\(\mu	\(\mu	ADP
bracis-19047	100	20	\in	\in	PROPN
bracis-19047	100	21	[	[	X
bracis-19047	100	22	0	0	NUM
bracis-19047	100	23	,	,	PUNCT
bracis-19047	100	24	1	1	NUM
bracis-19047	100	25	]	]	PUNCT
bracis-19047	100	26	\subset	\subset	PROPN
bracis-19047	100	27	\mathbb	\mathbb	PROPN
bracis-19047	100	28	{	{	PUNCT
bracis-19047	100	29	r}^+\	r}^+\	NOUN
bracis-19047	100	30	)	)	PUNCT
bracis-19047	100	31	,	,	PUNCT
bracis-19047	100	32	which	which	PRON
bracis-19047	100	33	limits	limit	VERB
bracis-19047	100	34	the	the	DET
bracis-19047	100	35	maximum	maximum	ADJ
bracis-19047	100	36	size	size	NOUN
bracis-19047	100	37	of	of	ADP
bracis-19047	100	38	a	a	DET
bracis-19047	100	39	group	group	NOUN
bracis-19047	100	40	of	of	ADP
bracis-19047	100	41	labels	label	NOUN
bracis-19047	100	42	in	in	ADP
bracis-19047	100	43	each	each	DET
bracis-19047	100	44	layer	layer	NOUN
bracis-19047	100	45	:	:	PUNCT
bracis-19047	100	46	$	$	SYM
bracis-19047	100	47	$	$	SYM
bracis-19047	100	48	\begin{aligned	\begin{aligne	VERB
bracis-19047	100	49	}	}	PUNCT
bracis-19047	100	50	\mathcal	\mathcal	ADJ
bracis-19047	100	51	{	{	PUNCT
bracis-19047	100	52	s}^i	s}^i	NOUN
bracis-19047	100	53	=	=	SYM
bracis-19047	100	54	\frac{1.0	\frac{1.0	PROPN
bracis-19047	100	55	+	+	X
bracis-19047	100	56	(	(	PUNCT
bracis-19047	100	57	\mu	\mu	PROPN
bracis-19047	100	58	*	*	PUNCT
bracis-19047	100	59	(	(	PUNCT
bracis-19047	100	60	\eta	\eta	ADJ
bracis-19047	100	61	^i	^i	ADJ
bracis-19047	100	62	1	1	NUM
bracis-19047	100	63	)	)	PUNCT
bracis-19047	100	64	)	)	PUNCT
bracis-19047	101	1	*	*	PUNCT
bracis-19047	101	2	|\mathcal	|\mathcal	X
bracis-19047	101	3	{	{	PUNCT
bracis-19047	101	4	v}^i|}{\eta	v}^i|}{\eta	NOUN
bracis-19047	101	5	^i	^i	NOUN
bracis-19047	101	6	}	}	PUNCT
bracis-19047	101	7	,	,	PUNCT
bracis-19047	101	8	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	101	9	(	(	PUNCT
bracis-19047	101	10	8)	8)	NUM
bracis-19047	101	11	wherein	wherein	ADJ
bracis-19047	101	12	\(\mu	\(\mu	PROPN
bracis-19047	101	13	=	=	NOUN
bracis-19047	101	14	1.0\	1.0\	NUM
bracis-19047	101	15	)	)	PUNCT
bracis-19047	101	16	and	and	CCONJ
bracis-19047	101	17	\(\mu	\(\mu	PROPN
bracis-19047	101	18	=	=	SYM
bracis-19047	101	19	0\	0\	PROPN
bracis-19047	101	20	)	)	PUNCT
bracis-19047	101	21	implies	imply	VERB
bracis-19047	101	22	highly	highly	ADV
bracis-19047	101	23	imbalanced	imbalanced	ADJ
bracis-19047	101	24	and	and	CCONJ
bracis-19047	101	25	balanced	balanced	ADJ
bracis-19047	101	26	groups	group	NOUN
bracis-19047	101	27	of	of	ADP
bracis-19047	101	28	nodes	node	NOUN
bracis-19047	101	29	,	,	PUNCT
bracis-19047	101	30	respectively	respectively	ADV
bracis-19047	101	31	.	.	PUNCT
bracis-19047	102	1	therefore	therefore	ADV
bracis-19047	102	2	,	,	PUNCT
bracis-19047	102	3	a	a	DET
bracis-19047	102	4	node	node	ADJ
bracis-19047	102	5	u	u	NOUN
bracis-19047	102	6	with	with	ADP
bracis-19047	102	7	weight	weight	NOUN
bracis-19047	102	8	\(\sigma	\(\sigma	NOUN
bracis-19047	102	9	(	(	PUNCT
bracis-19047	102	10	v)\	v)\	NOUN
bracis-19047	102	11	)	)	PUNCT
bracis-19047	102	12	can	can	AUX
bracis-19047	102	13	update	update	VERB
bracis-19047	102	14	its	its	PRON
bracis-19047	102	15	current	current	ADJ
bracis-19047	102	16	label	label	NOUN
bracis-19047	102	17	l	l	NOUN
bracis-19047	102	18	to	to	ADP
bracis-19047	102	19	a	a	DET
bracis-19047	102	20	new	new	ADJ
bracis-19047	102	21	label	label	NOUN
bracis-19047	102	22	\(l^{'}\	\(l^{'}\	ADJ
bracis-19047	102	23	)	)	PUNCT
bracis-19047	102	24	if	if	SCONJ
bracis-19047	102	25	,	,	PUNCT
bracis-19047	102	26	and	and	CCONJ
bracis-19047	102	27	only	only	ADV
bracis-19047	102	28	if	if	SCONJ
bracis-19047	102	29	:	:	PUNCT
bracis-19047	102	30	$	$	SYM
bracis-19047	102	31	$	$	SYM
bracis-19047	102	32	\begin{aligned	\begin{aligne	VERB
bracis-19047	102	33	}	}	PUNCT
bracis-19047	102	34	\sigma	\sigma	PROPN
bracis-19047	102	35	(	(	PUNCT
bracis-19047	102	36	u	u	NOUN
bracis-19047	102	37	)	)	PUNCT
bracis-19047	103	1	+	+	CCONJ
bracis-19047	103	2	\sigma	\sigma	PROPN
bracis-19047	103	3	(	(	PUNCT
bracis-19047	103	4	l^	l^	PROPN
bracis-19047	103	5	{	{	PUNCT
bracis-19047	103	6	'	'	PUNCT
bracis-19047	103	7	}	}	PUNCT
bracis-19047	103	8	)	)	PUNCT
bracis-19047	104	1	\le	\le	PROPN
bracis-19047	104	2	s^i	s^i	NOUN
bracis-19047	104	3	\quad	\quad	PROPN
bracis-19047	104	4	\mathrm	\mathrm	PROPN
bracis-19047	104	5	{	{	PUNCT
bracis-19047	104	6	and}\quad	and}\quad	PROPN
bracis-19047	104	7	\sigma	\sigma	PROPN
bracis-19047	104	8	(	(	PUNCT
bracis-19047	104	9	l^	l^	PROPN
bracis-19047	104	10	{	{	PUNCT
bracis-19047	104	11	'	'	PUNCT
bracis-19047	104	12	}	}	PUNCT
bracis-19047	104	13	)	)	PUNCT
bracis-19047	105	1	=	=	SYM
bracis-19047	105	2	\sum	\sum	NOUN
bracis-19047	105	3	_	_	PUNCT
bracis-19047	105	4	{	{	PUNCT
bracis-19047	105	5	v	v	NUM
bracis-19047	105	6	\in	\in	PROPN
bracis-19047	105	7	l^	l^	PROPN
bracis-19047	105	8	{	{	PUNCT
bracis-19047	105	9	'	'	PUNCT
bracis-19047	105	10	}	}	PUNCT
bracis-19047	105	11	}	}	PUNCT
bracis-19047	105	12	\sigma	\sigma	PROPN
bracis-19047	105	13	(	(	PUNCT
bracis-19047	105	14	v	v	NOUN
bracis-19047	105	15	)	)	PUNCT
bracis-19047	105	16	.	.	PUNCT
bracis-19047	106	1	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-19047	106	2	(	(	PUNCT
bracis-19047	106	3	9	9	NUM
bracis-19047	106	4	)	)	PUNCT
bracis-19047	106	5	if	if	SCONJ
bracis-19047	106	6	restrictions	restriction	NOUN
bracis-19047	106	7	3	3	NUM
bracis-19047	106	8	or	or	CCONJ
bracis-19047	106	9	4	4	NUM
bracis-19047	106	10	are	be	AUX
bracis-19047	106	11	not	not	PART
bracis-19047	106	12	attained	attain	VERB
bracis-19047	106	13	,	,	PUNCT
bracis-19047	106	14	the	the	DET
bracis-19047	106	15	algorithm	algorithm	NOUN
bracis-19047	106	16	returns	return	VERB
bracis-19047	106	17	to	to	PART
bracis-19047	106	18	step	step	VERB
bracis-19047	106	19	3	3	NUM
bracis-19047	106	20	;	;	PUNCT
bracis-19047	106	21	the	the	DET
bracis-19047	106	22	label	label	NOUN
bracis-19047	106	23	with	with	ADP
bracis-19047	106	24	the	the	DET
bracis-19047	106	25	maximum	maximum	ADJ
bracis-19047	106	26	\(\beta	\(\beta	PROPN
bracis-19047	106	27	\	\	NOUN
bracis-19047	106	28	)	)	PUNCT
bracis-19047	106	29	is	be	AUX
bracis-19047	106	30	removed	remove	VERB
bracis-19047	106	31	and	and	CCONJ
bracis-19047	106	32	a	a	DET
bracis-19047	106	33	new	new	ADJ
bracis-19047	106	34	ordered	order	VERB
bracis-19047	106	35	label	label	NOUN
bracis-19047	106	36	is	be	AUX
bracis-19047	106	37	selected	select	VERB
bracis-19047	106	38	.	.	PUNCT
bracis-19047	107	1	the	the	DET
bracis-19047	107	2	process	process	NOUN
bracis-19047	107	3	is	be	AUX
bracis-19047	107	4	repeated	repeat	VERB
bracis-19047	107	5	until	until	ADP
bracis-19047	107	6	a	a	DET
bracis-19047	107	7	label	label	NOUN
bracis-19047	107	8	that	that	PRON
bracis-19047	107	9	satisfies	satisfy	VERB
bracis-19047	107	10	the	the	DET
bracis-19047	107	11	restrictions	restriction	NOUN
bracis-19047	107	12	3	3	NUM
bracis-19047	107	13	and	and	CCONJ
bracis-19047	107	14	4	4	NUM
bracis-19047	107	15	is	be	AUX
bracis-19047	107	16	obtained	obtain	VERB
bracis-19047	107	17	.	.	PUNCT
bracis-19047	108	1	figure	figure	NOUN
bracis-19047	108	2	 	 	SPACE
bracis-19047	108	3	4	4	NUM
bracis-19047	108	4	shows	show	VERB
bracis-19047	108	5	one	one	NUM
bracis-19047	108	6	step	step	NOUN
bracis-19047	108	7	of	of	ADP
bracis-19047	108	8	clpb	clpb	NOUN
bracis-19047	108	9	in	in	ADP
bracis-19047	108	10	a	a	DET
bracis-19047	108	11	bipartite	bipartite	NOUN
bracis-19047	108	12	network	network	NOUN
bracis-19047	108	13	using	use	VERB
bracis-19047	108	14	the	the	DET
bracis-19047	108	15	previously	previously	ADV
bracis-19047	108	16	defined	define	VERB
bracis-19047	108	17	strategy	strategy	NOUN
bracis-19047	108	18	.	.	PUNCT
bracis-19047	109	1	the	the	DET
bracis-19047	109	2	propagation	propagation	NOUN
bracis-19047	109	3	process	process	NOUN
bracis-19047	109	4	is	be	AUX
bracis-19047	109	5	repeated	repeat	VERB
bracis-19047	109	6	\(\mathcal	\(\mathcal	ADJ
bracis-19047	109	7	{	{	PUNCT
bracis-19047	109	8	t}\	t}\	NUM
bracis-19047	109	9	)	)	PUNCT
bracis-19047	109	10	(	(	PUNCT
bracis-19047	109	11	user	user	NOUN
bracis-19047	109	12	-	-	PUNCT
bracis-19047	109	13	defined	define	VERB
bracis-19047	109	14	parameter	parameter	NOUN
bracis-19047	109	15	)	)	PUNCT
bracis-19047	109	16	times	time	NOUN
bracis-19047	109	17	until	until	ADP
bracis-19047	109	18	the	the	DET
bracis-19047	109	19	convergence	convergence	NOUN
bracis-19047	109	20	or	or	CCONJ
bracis-19047	109	21	stops	stop	NOUN
bracis-19047	109	22	when	when	SCONJ
bracis-19047	109	23	there	there	PRON
bracis-19047	109	24	are	be	VERB
bracis-19047	109	25	no	no	DET
bracis-19047	109	26	label	label	NOUN
bracis-19047	109	27	changes	change	NOUN
bracis-19047	109	28	.	.	PUNCT
bracis-19047	110	1	fig	fig	NOUN
bracis-19047	110	2	.	.	PUNCT
bracis-19047	111	1	4	4	X
bracis-19047	111	2	.	.	X
bracis-19047	111	3	one	one	NUM
bracis-19047	111	4	step	step	NOUN
bracis-19047	111	5	of	of	ADP
bracis-19047	111	6	the	the	DET
bracis-19047	111	7	clpb	clpb	NOUN
bracis-19047	111	8	algorithm	algorithm	NOUN
bracis-19047	111	9	in	in	ADP
bracis-19047	111	10	a	a	DET
bracis-19047	111	11	bipartite	bipartite	ADJ
bracis-19047	111	12	network	network	NOUN
bracis-19047	111	13	.	.	PUNCT
bracis-19047	112	1	in	in	ADP
bracis-19047	112	2	(	(	PUNCT
bracis-19047	112	3	a	a	X
bracis-19047	112	4	)	)	PUNCT
bracis-19047	112	5	,	,	PUNCT
bracis-19047	112	6	the	the	DET
bracis-19047	112	7	process	process	NOUN
bracis-19047	112	8	is	be	AUX
bracis-19047	112	9	performed	perform	VERB
bracis-19047	112	10	from	from	ADP
bracis-19047	112	11	the	the	DET
bracis-19047	112	12	top	top	ADJ
bracis-19047	112	13	layer	layer	NOUN
bracis-19047	112	14	,	,	PUNCT
bracis-19047	112	15	considering	consider	VERB
bracis-19047	112	16	the	the	DET
bracis-19047	112	17	propagators	propagator	NOUN
bracis-19047	112	18	nodes	nod	VERB
bracis-19047	112	19	\(\in	\(\in	PROPN
bracis-19047	112	20	\mathcal	\mathcal	ADJ
bracis-19047	112	21	{	{	PUNCT
bracis-19047	112	22	v}^1\	v}^1\	NOUN
bracis-19047	112	23	)	)	PUNCT
bracis-19047	112	24	,	,	PUNCT
bracis-19047	112	25	to	to	ADP
bracis-19047	112	26	the	the	DET
bracis-19047	112	27	bottom	bottom	ADJ
bracis-19047	112	28	layer	layer	NOUN
bracis-19047	112	29	,	,	PUNCT
bracis-19047	112	30	considering	consider	VERB
bracis-19047	112	31	the	the	DET
bracis-19047	112	32	receiver	receiver	NOUN
bracis-19047	112	33	nodes	nod	VERB
bracis-19047	112	34	\(\in	\(\in	ADJ
bracis-19047	112	35	\mathcal	\mathcal	ADJ
bracis-19047	112	36	{	{	PUNCT
bracis-19047	112	37	v}^2\	v}^2\	NOUN
bracis-19047	112	38	)	)	PUNCT
bracis-19047	112	39	.	.	PUNCT
bracis-19047	113	1	at	at	ADP
bracis-19047	113	2	first	first	ADV
bracis-19047	113	3	,	,	PUNCT
bracis-19047	113	4	represented	represent	VERB
bracis-19047	113	5	in	in	ADP
bracis-19047	113	6	(	(	PUNCT
bracis-19047	113	7	b	b	NOUN
bracis-19047	113	8	)	)	PUNCT
bracis-19047	113	9	,	,	PUNCT
bracis-19047	113	10	equal	equal	ADJ
bracis-19047	113	11	labels	label	NOUN
bracis-19047	113	12	are	be	AUX
bracis-19047	113	13	merged	merge	VERB
bracis-19047	113	14	.	.	PUNCT
bracis-19047	114	1	in	in	ADP
bracis-19047	114	2	(	(	PUNCT
bracis-19047	114	3	c	c	NOUN
bracis-19047	114	4	)	)	PUNCT
bracis-19047	114	5	,	,	PUNCT
bracis-19047	114	6	second	second	ADJ
bracis-19047	114	7	step	step	NOUN
bracis-19047	114	8	,	,	PUNCT
bracis-19047	114	9	remaining	remain	VERB
bracis-19047	114	10	labels	label	NOUN
bracis-19047	114	11	are	be	AUX
bracis-19047	114	12	normalized	normalize	VERB
bracis-19047	114	13	.	.	PUNCT
bracis-19047	115	1	in	in	ADP
bracis-19047	115	2	third	third	ADJ
bracis-19047	115	3	step	step	NOUN
bracis-19047	115	4	,	,	PUNCT
bracis-19047	115	5	the	the	DET
bracis-19047	115	6	label	label	NOUN
bracis-19047	115	7	b	b	NOUN
bracis-19047	115	8	is	be	AUX
bracis-19047	115	9	selected	select	VERB
bracis-19047	115	10	,	,	PUNCT
bracis-19047	115	11	as	as	SCONJ
bracis-19047	115	12	showed	show	VERB
bracis-19047	115	13	in	in	ADP
bracis-19047	115	14	(	(	PUNCT
bracis-19047	115	15	d	d	NOUN
bracis-19047	115	16	)	)	PUNCT
bracis-19047	115	17	.	.	PUNCT
bracis-19047	116	1	in	in	ADP
bracis-19047	116	2	(	(	PUNCT
bracis-19047	116	3	e	e	NOUN
bracis-19047	116	4	)	)	PUNCT
bracis-19047	116	5	,	,	PUNCT
bracis-19047	116	6	the	the	DET
bracis-19047	116	7	restriction	restriction	NOUN
bracis-19047	116	8	4	4	NUM
bracis-19047	116	9	and	and	CCONJ
bracis-19047	116	10	5	5	NUM
bracis-19047	116	11	are	be	AUX
bracis-19047	116	12	tested	test	VERB
bracis-19047	116	13	.	.	PUNCT
bracis-19047	117	1	finally	finally	ADV
bracis-19047	117	2	,	,	PUNCT
bracis-19047	117	3	label	label	NOUN
bracis-19047	117	4	b	b	NOUN
bracis-19047	117	5	is	be	AUX
bracis-19047	117	6	propagated	propagate	VERB
bracis-19047	117	7	to	to	ADP
bracis-19047	117	8	the	the	DET
bracis-19047	117	9	node	node	NOUN
bracis-19047	117	10	in	in	ADP
bracis-19047	117	11	the	the	DET
bracis-19047	117	12	bottom	bottom	ADJ
bracis-19047	117	13	layer	layer	NOUN
bracis-19047	117	14	,	,	PUNCT
bracis-19047	117	15	as	as	SCONJ
bracis-19047	117	16	illustrated	illustrate	VERB
bracis-19047	117	17	by	by	ADP
bracis-19047	117	18	the	the	DET
bracis-19047	117	19	black	black	ADJ
bracis-19047	117	20	dashed	dash	VERB
bracis-19047	117	21	line	line	NOUN
bracis-19047	117	22	.	.	PUNCT
bracis-19047	118	1	full	full	ADJ
bracis-19047	118	2	size	size	NOUN
bracis-19047	118	3	image	image	NOUN
bracis-19047	118	4	after	after	ADP
bracis-19047	118	5	the	the	DET
bracis-19047	118	6	cross	cross	ADJ
bracis-19047	118	7	-	-	ADJ
bracis-19047	118	8	propagation	propagation	NOUN
bracis-19047	118	9	convergence	convergence	NOUN
bracis-19047	118	10	,	,	PUNCT
bracis-19047	118	11	the	the	DET
bracis-19047	118	12	algorithm	algorithm	NOUN
bracis-19047	118	13	collapses	collapse	VERB
bracis-19047	118	14	each	each	DET
bracis-19047	118	15	group	group	NOUN
bracis-19047	118	16	of	of	ADP
bracis-19047	118	17	matched	match	VERB
bracis-19047	118	18	nodes	node	NOUN
bracis-19047	118	19	(	(	PUNCT
bracis-19047	118	20	i.e.	i.e.	X
bracis-19047	118	21	nodes	node	NOUN
bracis-19047	118	22	with	with	ADP
bracis-19047	118	23	same	same	ADJ
bracis-19047	118	24	label	label	NOUN
bracis-19047	118	25	)	)	PUNCT
bracis-19047	118	26	into	into	ADP
bracis-19047	118	27	a	a	DET
bracis-19047	118	28	single	single	ADJ
bracis-19047	118	29	super	super	ADJ
bracis-19047	118	30	-	-	NOUN
bracis-19047	118	31	node	node	ADJ
bracis-19047	118	32	.	.	PUNCT
bracis-19047	119	1	links	link	NOUN
bracis-19047	119	2	that	that	PRON
bracis-19047	119	3	are	be	AUX
bracis-19047	119	4	incident	incident	NOUN
bracis-19047	119	5	to	to	ADP
bracis-19047	119	6	matched	match	VERB
bracis-19047	119	7	nodes	node	NOUN
bracis-19047	119	8	are	be	AUX
bracis-19047	119	9	collapsed	collapse	VERB
bracis-19047	119	10	into	into	ADP
bracis-19047	119	11	the	the	DET
bracis-19047	119	12	so	so	ADV
bracis-19047	119	13	-	-	PUNCT
bracis-19047	119	14	called	call	VERB
bracis-19047	119	15	super	super	NOUN
bracis-19047	119	16	-	-	NOUN
bracis-19047	119	17	links	link	NOUN
bracis-19047	119	18	.	.	PUNCT
bracis-19047	120	1	figure	figure	NOUN
bracis-19047	120	2	 	 	SPACE
bracis-19047	120	3	5	5	NUM
bracis-19047	120	4	illustrates	illustrate	VERB
bracis-19047	120	5	this	this	DET
bracis-19047	120	6	process	process	NOUN
bracis-19047	120	7	.	.	PUNCT
bracis-19047	121	1	note	note	NOUN
bracis-19047	121	2	,	,	PUNCT
bracis-19047	121	3	the	the	DET
bracis-19047	121	4	clpb	clpb	NOUN
bracis-19047	121	5	process	process	NOUN
bracis-19047	121	6	does	do	AUX
bracis-19047	121	7	not	not	PART
bracis-19047	121	8	guarantee	guarantee	VERB
bracis-19047	121	9	that	that	SCONJ
bracis-19047	121	10	the	the	DET
bracis-19047	121	11	desired	desire	VERB
bracis-19047	121	12	minimum	minimum	ADJ
bracis-19047	121	13	number	number	NOUN
bracis-19047	121	14	of	of	ADP
bracis-19047	121	15	labels	label	NOUN
bracis-19047	121	16	\(\eta	\(\eta	NOUN
bracis-19047	121	17	\	\	NOUN
bracis-19047	121	18	)	)	PUNCT
bracis-19047	121	19	will	will	AUX
bracis-19047	121	20	be	be	AUX
bracis-19047	121	21	reached	reach	VERB
bracis-19047	121	22	at	at	ADP
bracis-19047	121	23	the	the	DET
bracis-19047	121	24	current	current	ADJ
bracis-19047	121	25	level	level	NOUN
bracis-19047	121	26	,	,	PUNCT
bracis-19047	121	27	i.e.	i.e.	X
bracis-19047	121	28	the	the	DET
bracis-19047	121	29	algorithm	algorithm	NOUN
bracis-19047	121	30	can	can	AUX
bracis-19047	121	31	stop	stop	VERB
bracis-19047	121	32	with	with	ADP
bracis-19047	121	33	a	a	DET
bracis-19047	121	34	number	number	NOUN
bracis-19047	121	35	of	of	ADP
bracis-19047	121	36	labels	label	NOUN
bracis-19047	121	37	greater	great	ADJ
bracis-19047	121	38	than	than	ADP
bracis-19047	121	39	the	the	DET
bracis-19047	121	40	desired	desire	VERB
bracis-19047	121	41	one	one	NUM
bracis-19047	121	42	.	.	PUNCT
bracis-19047	122	1	however	however	ADV
bracis-19047	122	2	,	,	PUNCT
bracis-19047	122	3	the	the	DET
bracis-19047	122	4	multilevel	multilevel	NOUN
bracis-19047	122	5	process	process	NOUN
bracis-19047	122	6	naturally	naturally	ADV
bracis-19047	122	7	mitigates	mitigate	VERB
bracis-19047	122	8	this	this	DET
bracis-19047	122	9	problem	problem	NOUN
bracis-19047	122	10	,	,	PUNCT
bracis-19047	122	11	since	since	SCONJ
bracis-19047	122	12	clpb	clpb	NOUN
bracis-19047	122	13	is	be	AUX
bracis-19047	122	14	performed	perform	VERB
bracis-19047	122	15	,	,	PUNCT
bracis-19047	122	16	level	level	NOUN
bracis-19047	122	17	by	by	ADP
bracis-19047	122	18	level	level	NOUN
bracis-19047	122	19	,	,	PUNCT
bracis-19047	122	20	in	in	ADP
bracis-19047	122	21	the	the	DET
bracis-19047	122	22	subsequent	subsequent	ADJ
bracis-19047	122	23	coarsened	coarsen	VERB
bracis-19047	122	24	networks	network	NOUN
bracis-19047	122	25	,	,	PUNCT
bracis-19047	122	26	until	until	SCONJ
bracis-19047	122	27	the	the	DET
bracis-19047	122	28	desired	desire	VERB
bracis-19047	122	29	number	number	NOUN
bracis-19047	122	30	of	of	ADP
bracis-19047	122	31	nodes	node	NOUN
bracis-19047	122	32	are	be	AUX
bracis-19047	122	33	reached	reach	VERB
bracis-19047	122	34	.	.	PUNCT
bracis-19047	123	1	i.e.	i.e.	X
bracis-19047	123	2	,	,	PUNCT
bracis-19047	123	3	the	the	DET
bracis-19047	123	4	original	original	ADJ
bracis-19047	123	5	network	network	NOUN
bracis-19047	123	6	\(\mathcal	\(\mathcal	ADJ
bracis-19047	123	7	{	{	PUNCT
bracis-19047	123	8	g}_0\	g}_0\	NOUN
bracis-19047	123	9	)	)	PUNCT
bracis-19047	123	10	is	be	AUX
bracis-19047	123	11	iteratively	iteratively	ADV
bracis-19047	123	12	coarsened	coarsen	VERB
bracis-19047	123	13	into	into	ADP
bracis-19047	123	14	a	a	DET
bracis-19047	123	15	hierarchy	hierarchy	NOUN
bracis-19047	123	16	of	of	ADP
bracis-19047	123	17	smaller	small	ADJ
bracis-19047	123	18	networks	network	NOUN
bracis-19047	123	19	\(\{\mathcal	\(\{\mathcal	PROPN
bracis-19047	123	20	{	{	PUNCT
bracis-19047	123	21	g}_1	g}_1	PROPN
bracis-19047	123	22	,	,	PUNCT
bracis-19047	123	23	\mathcal	\mathcal	ADJ
bracis-19047	123	24	{	{	PUNCT
bracis-19047	123	25	g}_2	g}_2	PROPN
bracis-19047	123	26	,	,	PUNCT
bracis-19047	123	27	\cdots	\cdots	PROPN
bracis-19047	123	28	,	,	PUNCT
bracis-19047	123	29	\mathcal	\mathcal	PROPN
bracis-19047	123	30	{	{	PUNCT
bracis-19047	123	31	g}_\mathcal	g}_\mathcal	ADJ
bracis-19047	123	32	{	{	PUNCT
bracis-19047	123	33	h	h	NOUN
bracis-19047	123	34	}	}	PUNCT
bracis-19047	123	35	,	,	PUNCT
bracis-19047	123	36	\cdots	\cdot	NOUN
bracis-19047	123	37	\}\	\}\	NOUN
bracis-19047	123	38	)	)	PUNCT
bracis-19047	123	39	,	,	PUNCT
bracis-19047	123	40	wherein	wherein	SCONJ
bracis-19047	123	41	\(\mathcal	\(\mathcal	ADJ
bracis-19047	123	42	{	{	PUNCT
bracis-19047	123	43	g}_\mathcal	g}_\mathcal	ADJ
bracis-19047	123	44	{	{	PUNCT
bracis-19047	123	45	h}\	h}\	NOUN
bracis-19047	123	46	)	)	PUNCT
bracis-19047	123	47	is	be	AUX
bracis-19047	123	48	an	an	DET
bracis-19047	123	49	arbitrary	arbitrary	ADJ
bracis-19047	123	50	level	level	NOUN
bracis-19047	123	51	.	.	PUNCT
bracis-19047	124	1	table	table	NOUN
bracis-19047	124	2	 	 	SPACE
bracis-19047	124	3	1	1	NUM
bracis-19047	124	4	summarizes	summarize	NOUN
bracis-19047	124	5	three	three	NUM
bracis-19047	124	6	levels	level	NOUN
bracis-19047	124	7	automatically	automatically	ADV
bracis-19047	124	8	achieved	achieve	VERB
bracis-19047	124	9	by	by	ADP
bracis-19047	124	10	clpb	clpb	NOUN
bracis-19047	124	11	when	when	SCONJ
bracis-19047	124	12	evaluated	evaluate	VERB
bracis-19047	124	13	in	in	ADP
bracis-19047	124	14	the	the	DET
bracis-19047	124	15	ucforum	ucforum	NOUN
bracis-19047	124	16	[	[	X
bracis-19047	124	17	10	10	NUM
bracis-19047	124	18	]	]	PUNCT
bracis-19047	124	19	.	.	PUNCT
bracis-19047	125	1	fig	fig	NOUN
bracis-19047	125	2	.	.	PUNCT
bracis-19047	126	1	5	5	NUM
bracis-19047	126	2	.	.	X
bracis-19047	126	3	contraction	contraction	NOUN
bracis-19047	126	4	process	process	NOUN
bracis-19047	126	5	.	.	PUNCT
bracis-19047	127	1	in	in	ADP
bracis-19047	127	2	(	(	PUNCT
bracis-19047	127	3	a	a	X
bracis-19047	127	4	)	)	PUNCT
bracis-19047	127	5	,	,	PUNCT
bracis-19047	127	6	group	group	NOUN
bracis-19047	127	7	of	of	ADP
bracis-19047	127	8	nodes	node	NOUN
bracis-19047	127	9	are	be	AUX
bracis-19047	127	10	matched	match	VERB
bracis-19047	127	11	using	use	VERB
bracis-19047	127	12	clpb	clpb	NOUN
bracis-19047	127	13	algorithm	algorithm	NOUN
bracis-19047	127	14	;	;	PUNCT
bracis-19047	127	15	in	in	ADP
bracis-19047	127	16	(	(	PUNCT
bracis-19047	127	17	b	b	NOUN
bracis-19047	127	18	)	)	PUNCT
bracis-19047	127	19	,	,	PUNCT
bracis-19047	127	20	the	the	DET
bracis-19047	127	21	original	original	ADJ
bracis-19047	127	22	network	network	NOUN
bracis-19047	127	23	is	be	AUX
bracis-19047	127	24	coarsened	coarsen	VERB
bracis-19047	127	25	,	,	PUNCT
bracis-19047	127	26	i.e.	i.e.	X
bracis-19047	127	27	,	,	PUNCT
bracis-19047	127	28	nodes	node	NOUN
bracis-19047	127	29	that	that	PRON
bracis-19047	127	30	share	share	NOUN
bracis-19047	127	31	labels	label	NOUN
bracis-19047	127	32	are	be	AUX
bracis-19047	127	33	collapsed	collapse	VERB
bracis-19047	127	34	into	into	ADP
bracis-19047	127	35	a	a	DET
bracis-19047	127	36	super	super	ADJ
bracis-19047	127	37	-	-	ADJ
bracis-19047	127	38	node	node	ADJ
bracis-19047	127	39	and	and	CCONJ
bracis-19047	127	40	links	link	NOUN
bracis-19047	127	41	incident	incident	VERB
bracis-19047	127	42	to	to	ADP
bracis-19047	127	43	matched	match	VERB
bracis-19047	127	44	nodes	node	NOUN
bracis-19047	127	45	are	be	AUX
bracis-19047	127	46	collapsed	collapse	VERB
bracis-19047	127	47	into	into	ADP
bracis-19047	127	48	super	super	NOUN
bracis-19047	127	49	-	-	ADJ
bracis-19047	127	50	edges	edge	NOUN
bracis-19047	127	51	.	.	PUNCT
bracis-19047	128	1	full	full	ADJ
bracis-19047	128	2	size	size	NOUN
bracis-19047	128	3	image	image	NOUN
bracis-19047	128	4	table	table	NOUN
bracis-19047	128	5	1	1	NUM
bracis-19047	128	6	.	.	PUNCT
bracis-19047	129	1	ucforum	ucforum	PROPN
bracis-19047	129	2	:	:	PUNCT
bracis-19047	129	3	contains	contain	VERB
bracis-19047	129	4	899	899	NUM
bracis-19047	129	5	users	user	NOUN
bracis-19047	129	6	and	and	CCONJ
bracis-19047	129	7	522	522	NUM
bracis-19047	129	8	posts	post	NOUN
bracis-19047	129	9	on	on	ADP
bracis-19047	129	10	forums	forum	NOUN
bracis-19047	129	11	.	.	PUNCT
bracis-19047	130	1	considering	consider	VERB
bracis-19047	130	2	\(\eta	\(\eta	NOUN
bracis-19047	130	3	^1=30\	^1=30\	NOUN
bracis-19047	130	4	)	)	PUNCT
bracis-19047	130	5	and	and	CCONJ
bracis-19047	130	6	\(\eta	\(\eta	NOUN
bracis-19047	130	7	^2=50\	^2=50\	PROPN
bracis-19047	130	8	)	)	PUNCT
bracis-19047	130	9	as	as	ADP
bracis-19047	130	10	an	an	DET
bracis-19047	130	11	input	input	NOUN
bracis-19047	130	12	user	user	NOUN
bracis-19047	130	13	-	-	PUNCT
bracis-19047	130	14	parameter	parameter	NOUN
bracis-19047	130	15	,	,	PUNCT
bracis-19047	130	16	clpb	clpb	NOUN
bracis-19047	130	17	automatically	automatically	ADV
bracis-19047	130	18	builds	build	VERB
bracis-19047	130	19	three	three	NUM
bracis-19047	130	20	levels	level	NOUN
bracis-19047	130	21	to	to	PART
bracis-19047	130	22	reach	reach	VERB
bracis-19047	130	23	the	the	DET
bracis-19047	130	24	desired	desire	VERB
bracis-19047	130	25	network	network	NOUN
bracis-19047	130	26	size.full	size.full	ADJ
bracis-19047	130	27	size	size	NOUN
bracis-19047	130	28	table	table	NOUN
bracis-19047	130	29	naturally	naturally	ADV
bracis-19047	130	30	,	,	PUNCT
bracis-19047	130	31	users	user	NOUN
bracis-19047	130	32	can	can	AUX
bracis-19047	130	33	control	control	VERB
bracis-19047	130	34	the	the	DET
bracis-19047	130	35	maximum	maximum	ADJ
bracis-19047	130	36	number	number	NOUN
bracis-19047	130	37	of	of	ADP
bracis-19047	130	38	levels	level	NOUN
bracis-19047	130	39	and	and	CCONJ
bracis-19047	130	40	the	the	DET
bracis-19047	130	41	reduction	reduction	NOUN
bracis-19047	130	42	factor	factor	NOUN
bracis-19047	130	43	\(\rho	\(\rho	NOUN
bracis-19047	130	44	\	\	NOUN
bracis-19047	130	45	)	)	PUNCT
bracis-19047	130	46	for	for	ADP
bracis-19047	130	47	each	each	DET
bracis-19047	130	48	layer	layer	NOUN
bracis-19047	130	49	,	,	PUNCT
bracis-19047	130	50	rather	rather	ADV
bracis-19047	130	51	than	than	ADP
bracis-19047	130	52	input	input	VERB
bracis-19047	130	53	the	the	DET
bracis-19047	130	54	desired	desire	VERB
bracis-19047	130	55	number	number	NOUN
bracis-19047	130	56	of	of	ADP
bracis-19047	130	57	nodes	node	NOUN
bracis-19047	130	58	in	in	ADP
bracis-19047	130	59	the	the	DET
bracis-19047	130	60	coarsest	coarse	ADJ
bracis-19047	130	61	network	network	NOUN
bracis-19047	130	62	.	.	PUNCT
bracis-19047	131	1	in	in	ADP
bracis-19047	131	2	this	this	DET
bracis-19047	131	3	case	case	NOUN
bracis-19047	131	4	,	,	PUNCT
bracis-19047	131	5	the	the	DET
bracis-19047	131	6	desired	desire	VERB
bracis-19047	131	7	number	number	NOUN
bracis-19047	131	8	of	of	ADP
bracis-19047	131	9	nodes	node	NOUN
bracis-19047	131	10	for	for	ADP
bracis-19047	131	11	each	each	DET
bracis-19047	131	12	layer	layer	NOUN
bracis-19047	131	13	and	and	CCONJ
bracis-19047	131	14	in	in	ADP
bracis-19047	131	15	each	each	DET
bracis-19047	131	16	level	level	NOUN
bracis-19047	131	17	can	can	AUX
bracis-19047	131	18	be	be	AUX
bracis-19047	131	19	defined	define	VERB
bracis-19047	131	20	as	as	ADP
bracis-19047	131	21	exemplified	exemplify	VERB
bracis-19047	131	22	in	in	ADP
bracis-19047	131	23	eq	eq	PROPN
bracis-19047	131	24	.	.	PUNCT
bracis-19047	131	25	 	 	SPACE
bracis-19047	132	1	10	10	NUM
bracis-19047	132	2	.	.	PUNCT
bracis-19047	133	1	alternatively	alternatively	ADV
bracis-19047	133	2	,	,	PUNCT
bracis-19047	133	3	users	user	NOUN
bracis-19047	133	4	can	can	AUX
bracis-19047	133	5	stop	stop	VERB
bracis-19047	133	6	the	the	DET
bracis-19047	133	7	algorithm	algorithm	NOUN
bracis-19047	133	8	in	in	ADP
bracis-19047	133	9	an	an	DET
bracis-19047	133	10	arbitrary	arbitrary	ADJ
bracis-19047	133	11	level	level	NOUN
bracis-19047	133	12	.	.	PUNCT
bracis-19047	134	1	however	however	ADV
bracis-19047	134	2	,	,	PUNCT
bracis-19047	134	3	this	this	PRON
bracis-19047	134	4	is	be	AUX
bracis-19047	134	5	a	a	DET
bracis-19047	134	6	technical	technical	ADJ
bracis-19047	134	7	decision	decision	NOUN
bracis-19047	134	8	and	and	CCONJ
bracis-19047	134	9	the	the	DET
bracis-19047	134	10	stop	stop	NOUN
bracis-19047	134	11	-	-	PUNCT
bracis-19047	134	12	criterion	criterion	NOUN
bracis-19047	134	13	in	in	ADP
bracis-19047	134	14	eq	eq	NOUN
bracis-19047	134	15	.	.	PUNCT
bracis-19047	134	16	 	 	SPACE
bracis-19047	134	17	10	10	NUM
bracis-19047	134	18	is	be	AUX
bracis-19047	134	19	commonly	commonly	ADV
bracis-19047	134	20	used	use	VERB
bracis-19047	134	21	in	in	ADP
bracis-19047	134	22	the	the	DET
bracis-19047	134	23	literature	literature	NOUN
bracis-19047	134	24	[	[	X
bracis-19047	134	25	25	25	NUM
bracis-19047	134	26	]	]	PUNCT
bracis-19047	134	27	.	.	PUNCT
bracis-19047	135	1	$	$	SYM
bracis-19047	135	2	$	$	SYM
bracis-19047	135	3	\begin{aligned	\begin{aligne	VERB
bracis-19047	135	4	}	}	PUNCT
bracis-19047	135	5	\eta	\eta	NOUN
bracis-19047	135	6	_	_	NOUN
bracis-19047	136	1	i	i	PRON
bracis-19047	136	2	=	=	PUNCT
bracis-19047	136	3	(	(	PUNCT
bracis-19047	136	4	1	1	NUM
bracis-19047	136	5	\rho	\rho	NOUN
bracis-19047	136	6	^i	^i	ADJ
bracis-19047	136	7	)	)	PUNCT
bracis-19047	136	8	*	*	PUNCT
bracis-19047	136	9	|\mathcal	|\mathcal	X
bracis-19047	136	10	{	{	PUNCT
bracis-19047	136	11	v}^i|	v}^i|	PROPN
bracis-19047	136	12	\end{aligned}$$	\end{aligned}$$	X
bracis-19047	136	13	(	(	PUNCT
bracis-19047	136	14	10	10	NUM
bracis-19047	136	15	)	)	PUNCT
bracis-19047	136	16	3.2	3.2	NUM
bracis-19047	136	17	complexity	complexity	NOUN
bracis-19047	136	18	the	the	DET
bracis-19047	136	19	computational	computational	ADJ
bracis-19047	136	20	complexity	complexity	NOUN
bracis-19047	136	21	of	of	ADP
bracis-19047	136	22	the	the	DET
bracis-19047	136	23	lp	lp	NOUN
bracis-19047	136	24	is	be	AUX
bracis-19047	136	25	near	near	ADP
bracis-19047	136	26	-	-	PUNCT
bracis-19047	136	27	linear	linear	NOUN
bracis-19047	136	28	regarding	regard	VERB
bracis-19047	136	29	the	the	DET
bracis-19047	136	30	number	number	NOUN
bracis-19047	136	31	of	of	ADP
bracis-19047	136	32	links	link	NOUN
bracis-19047	136	33	,	,	PUNCT
bracis-19047	136	34	i.e.	i.e.	X
bracis-19047	136	35	,	,	PUNCT
bracis-19047	136	36	\(\mathcal	\(\mathcal	ADJ
bracis-19047	136	37	{	{	PUNCT
bracis-19047	136	38	o}(|\mathcal	o}(|\mathcal	PROPN
bracis-19047	136	39	{	{	PUNCT
bracis-19047	136	40	v}|+|\mathcal	v}|+|\mathcal	ADJ
bracis-19047	136	41	{	{	PUNCT
bracis-19047	136	42	e}|)\	e}|)\	NOUN
bracis-19047	136	43	)	)	PUNCT
bracis-19047	136	44	steps	step	NOUN
bracis-19047	136	45	are	be	AUX
bracis-19047	136	46	needed	need	VERB
bracis-19047	136	47	at	at	ADP
bracis-19047	136	48	each	each	DET
bracis-19047	136	49	iteration	iteration	NOUN
bracis-19047	136	50	.	.	PUNCT
bracis-19047	137	1	if	if	SCONJ
bracis-19047	137	2	a	a	DET
bracis-19047	137	3	constant	constant	ADJ
bracis-19047	137	4	number	number	NOUN
bracis-19047	137	5	of	of	ADP
bracis-19047	137	6	\(\mathcal	\(\mathcal	ADJ
bracis-19047	137	7	{	{	PUNCT
bracis-19047	137	8	t}\	t}\	NOUN
bracis-19047	137	9	)	)	PUNCT
bracis-19047	137	10	iterations	iteration	NOUN
bracis-19047	137	11	are	be	AUX
bracis-19047	137	12	considered	consider	VERB
bracis-19047	137	13	,	,	PUNCT
bracis-19047	137	14	then	then	ADV
bracis-19047	137	15	\(\mathcal	\(\mathcal	ADJ
bracis-19047	137	16	{	{	PUNCT
bracis-19047	137	17	o}(\mathcal	o}(\mathcal	ADJ
bracis-19047	137	18	{	{	PUNCT
bracis-19047	137	19	t}(|\mathcal	t}(|\mathcal	ADJ
bracis-19047	137	20	{	{	PUNCT
bracis-19047	137	21	v}|+|\mathcal	v}|+|\mathcal	ADJ
bracis-19047	137	22	{	{	PUNCT
bracis-19047	137	23	e}|))\	e}|))\	PROPN
bracis-19047	137	24	)	)	PUNCT
bracis-19047	137	25	.	.	PUNCT
bracis-19047	138	1	the	the	DET
bracis-19047	138	2	contraction	contraction	NOUN
bracis-19047	138	3	process	process	NOUN
bracis-19047	138	4	(	(	PUNCT
bracis-19047	138	5	illustrated	illustrate	VERB
bracis-19047	138	6	in	in	ADP
bracis-19047	138	7	fig	fig	NOUN
bracis-19047	138	8	.	.	PUNCT
bracis-19047	138	9	 	 	SPACE
bracis-19047	138	10	5	5	NUM
bracis-19047	138	11	)	)	PUNCT
bracis-19047	138	12	,	,	PUNCT
bracis-19047	138	13	first	first	ADV
bracis-19047	138	14	,	,	PUNCT
bracis-19047	138	15	iterates	iterate	VERB
bracis-19047	138	16	over	over	ADP
bracis-19047	138	17	all	all	DET
bracis-19047	138	18	matched	match	VERB
bracis-19047	138	19	nodes	node	NOUN
bracis-19047	138	20	\(\in	\(\in	ADP
bracis-19047	138	21	\mathcal	\mathcal	ADJ
bracis-19047	138	22	{	{	PUNCT
bracis-19047	138	23	v}_\mathcal	v}_\mathcal	X
bracis-19047	138	24	{	{	PUNCT
bracis-19047	138	25	h}\	h}\	NOUN
bracis-19047	138	26	)	)	PUNCT
bracis-19047	138	27	to	to	PART
bracis-19047	138	28	create	create	VERB
bracis-19047	138	29	super	super	NOUN
bracis-19047	138	30	-	-	NOUN
bracis-19047	138	31	nodes	node	NOUN
bracis-19047	138	32	\(\in	\(\in	ADJ
bracis-19047	138	33	\mathcal	\mathcal	ADJ
bracis-19047	138	34	{	{	PUNCT
bracis-19047	138	35	v}_{\mathcal	v}_{\mathcal	PROPN
bracis-19047	138	36	{	{	PUNCT
bracis-19047	138	37	h}+1}\	h}+1}\	NUM
bracis-19047	138	38	)	)	PUNCT
bracis-19047	138	39	,	,	PUNCT
bracis-19047	138	40	then	then	ADV
bracis-19047	138	41	,	,	PUNCT
bracis-19047	138	42	each	each	DET
bracis-19047	138	43	link	link	VERB
bracis-19047	138	44	in	in	ADP
bracis-19047	138	45	\(\mathcal	\(\mathcal	ADJ
bracis-19047	138	46	{	{	PUNCT
bracis-19047	138	47	e}_\mathcal	e}_\mathcal	X
bracis-19047	138	48	{	{	PUNCT
bracis-19047	138	49	h}\	h}\	NOUN
bracis-19047	138	50	)	)	PUNCT
bracis-19047	138	51	is	be	AUX
bracis-19047	138	52	selected	select	VERB
bracis-19047	138	53	to	to	PART
bracis-19047	138	54	create	create	VERB
bracis-19047	138	55	super	super	ADJ
bracis-19047	138	56	-	-	NOUN
bracis-19047	138	57	links	link	NOUN
bracis-19047	138	58	\(\in	\(\in	ADJ
bracis-19047	138	59	\mathcal	\mathcal	ADJ
bracis-19047	138	60	{	{	PUNCT
bracis-19047	138	61	e}_{\mathcal	e}_{\mathcal	ADJ
bracis-19047	138	62	{	{	PUNCT
bracis-19047	138	63	h}+1}\	h}+1}\	NUM
bracis-19047	138	64	)	)	PUNCT
bracis-19047	138	65	,	,	PUNCT
bracis-19047	138	66	therefore	therefore	ADV
bracis-19047	138	67	,	,	PUNCT
bracis-19047	138	68	\(\mathcal	\(\mathcal	ADJ
bracis-19047	138	69	{	{	PUNCT
bracis-19047	138	70	o}(|\mathcal	o}(|\mathcal	PROPN
bracis-19047	138	71	{	{	PUNCT
bracis-19047	138	72	v}|+|\mathcal	v}|+|\mathcal	ADJ
bracis-19047	138	73	{	{	PUNCT
bracis-19047	138	74	e}|)\	e}|)\	NOUN
bracis-19047	138	75	)	)	PUNCT
bracis-19047	138	76	.	.	PUNCT
bracis-19047	139	1	these	these	DET
bracis-19047	139	2	complexities	complexity	NOUN
bracis-19047	139	3	are	be	AUX
bracis-19047	139	4	well	well	ADV
bracis-19047	139	5	-	-	PUNCT
bracis-19047	139	6	known	know	VERB
bracis-19047	139	7	in	in	ADP
bracis-19047	139	8	the	the	DET
bracis-19047	139	9	literature	literature	NOUN
bracis-19047	139	10	,	,	PUNCT
bracis-19047	139	11	and	and	CCONJ
bracis-19047	139	12	the	the	DET
bracis-19047	139	13	expanded	expand	VERB
bracis-19047	139	14	discussion	discussion	NOUN
bracis-19047	139	15	can	can	AUX
bracis-19047	139	16	be	be	AUX
bracis-19047	139	17	found	find	VERB
bracis-19047	139	18	in	in	ADP
bracis-19047	139	19	[	[	X
bracis-19047	139	20	25	25	NUM
bracis-19047	139	21	]	]	PUNCT
bracis-19047	139	22	and	and	CCONJ
bracis-19047	139	23	[	[	X
bracis-19047	139	24	20	20	NUM
bracis-19047	139	25	]	]	PUNCT
bracis-19047	139	26	.	.	PUNCT
bracis-19047	140	1	based	base	VERB
bracis-19047	140	2	on	on	ADP
bracis-19047	140	3	these	these	DET
bracis-19047	140	4	considerations	consideration	NOUN
bracis-19047	140	5	,	,	PUNCT
bracis-19047	140	6	the	the	DET
bracis-19047	140	7	clpb	clpb	NOUN
bracis-19047	140	8	complexity	complexity	NOUN
bracis-19047	140	9	is	be	AUX
bracis-19047	140	10	\(\mathcal	\(\mathcal	ADJ
bracis-19047	140	11	{	{	PUNCT
bracis-19047	140	12	o}(\mathcal	o}(\mathcal	ADJ
bracis-19047	140	13	{	{	PUNCT
bracis-19047	140	14	t}(|\mathcal	t}(|\mathcal	ADJ
bracis-19047	140	15	{	{	PUNCT
bracis-19047	140	16	v}|+|\mathcal	v}|+|\mathcal	ADJ
bracis-19047	140	17	{	{	PUNCT
bracis-19047	140	18	e}|))\	e}|))\	NOUN
bracis-19047	140	19	)	)	PUNCT
bracis-19047	141	1	+	+	CCONJ
bracis-19047	141	2	\(\mathcal	\(\mathcal	ADJ
bracis-19047	141	3	{	{	PUNCT
bracis-19047	141	4	o}(|\mathcal	o}(|\mathcal	PROPN
bracis-19047	141	5	{	{	PUNCT
bracis-19047	141	6	v}|+|\mathcal	v}|+|\mathcal	ADJ
bracis-19047	141	7	{	{	PUNCT
bracis-19047	141	8	e}|)\	e}|)\	NOUN
bracis-19047	141	9	)	)	PUNCT
bracis-19047	141	10	at	at	ADP
bracis-19047	141	11	each	each	DET
bracis-19047	141	12	level	level	NOUN
bracis-19047	141	13	.	.	PUNCT
bracis-19047	142	1	4	4	NUM
bracis-19047	142	2	experiments	experiment	NOUN
bracis-19047	142	3	we	we	PRON
bracis-19047	142	4	compared	compare	VERB
bracis-19047	142	5	the	the	DET
bracis-19047	142	6	performance	performance	NOUN
bracis-19047	142	7	of	of	ADP
bracis-19047	142	8	clpb	clpb	NOUN
bracis-19047	142	9	with	with	ADP
bracis-19047	142	10	four	four	NUM
bracis-19047	142	11	state	state	NOUN
bracis-19047	142	12	-	-	PUNCT
bracis-19047	142	13	of	of	ADP
bracis-19047	142	14	-	-	PUNCT
bracis-19047	142	15	the	the	DET
bracis-19047	142	16	-	-	PUNCT
bracis-19047	142	17	art	art	NOUN
bracis-19047	142	18	coarsening	coarsening	NOUN
bracis-19047	142	19	algorithms	algorithm	NOUN
bracis-19047	142	20	,	,	PUNCT
bracis-19047	142	21	namely	namely	ADV
bracis-19047	142	22	mlpb	mlpb	NUM
bracis-19047	142	23	,	,	PUNCT
bracis-19047	142	24	opm\(_{hem}\	opm\(_{hem}\	PROPN
bracis-19047	142	25	)	)	PUNCT
bracis-19047	142	26	,	,	PUNCT
bracis-19047	142	27	rgmb	rgmb	NOUN
bracis-19047	142	28	and	and	CCONJ
bracis-19047	142	29	gmb	gmb	PROPN
bracis-19047	142	30	(	(	PUNCT
bracis-19047	142	31	discussed	discuss	VERB
bracis-19047	142	32	in	in	ADP
bracis-19047	142	33	sect	sect	NOUN
bracis-19047	142	34	.	.	PUNCT
bracis-19047	142	35	 	 	SPACE
bracis-19047	142	36	2	2	NUM
bracis-19047	142	37	and	and	CCONJ
bracis-19047	142	38	presented	present	VERB
bracis-19047	142	39	in	in	ADP
bracis-19047	142	40	the	the	DET
bracis-19047	142	41	survey	survey	NOUN
bracis-19047	142	42	[	[	X
bracis-19047	142	43	28	28	NUM
bracis-19047	142	44	]	]	NUM
bracis-19047	142	45	)	)	PUNCT
bracis-19047	142	46	.	.	PUNCT
bracis-19047	143	1	first	first	ADV
bracis-19047	143	2	,	,	PUNCT
bracis-19047	143	3	we	we	PRON
bracis-19047	143	4	conducted	conduct	VERB
bracis-19047	143	5	an	an	DET
bracis-19047	143	6	experiment	experiment	NOUN
bracis-19047	143	7	in	in	ADP
bracis-19047	143	8	a	a	DET
bracis-19047	143	9	set	set	NOUN
bracis-19047	143	10	of	of	ADP
bracis-19047	143	11	thousands	thousand	NOUN
bracis-19047	143	12	of	of	ADP
bracis-19047	143	13	synthetic	synthetic	ADJ
bracis-19047	143	14	networks	network	NOUN
bracis-19047	143	15	and	and	CCONJ
bracis-19047	143	16	,	,	PUNCT
bracis-19047	143	17	then	then	ADV
bracis-19047	143	18	,	,	PUNCT
bracis-19047	143	19	we	we	PRON
bracis-19047	143	20	test	test	VERB
bracis-19047	143	21	the	the	DET
bracis-19047	143	22	performance	performance	NOUN
bracis-19047	143	23	of	of	ADP
bracis-19047	143	24	the	the	DET
bracis-19047	143	25	algorithms	algorithm	NOUN
bracis-19047	143	26	in	in	ADP
bracis-19047	143	27	a	a	DET
bracis-19047	143	28	set	set	NOUN
bracis-19047	143	29	of	of	ADP
bracis-19047	143	30	well	well	ADV
bracis-19047	143	31	-	-	PUNCT
bracis-19047	143	32	known	know	VERB
bracis-19047	143	33	real	real	ADJ
bracis-19047	143	34	networks	network	NOUN
bracis-19047	143	35	.	.	PUNCT
bracis-19047	144	1	a	a	DET
bracis-19047	144	2	common	common	ADJ
bracis-19047	144	3	and	and	CCONJ
bracis-19047	144	4	practical	practical	ADJ
bracis-19047	144	5	approach	approach	NOUN
bracis-19047	144	6	to	to	PART
bracis-19047	144	7	verify	verify	VERB
bracis-19047	144	8	the	the	DET
bracis-19047	144	9	quality	quality	NOUN
bracis-19047	144	10	of	of	ADP
bracis-19047	144	11	a	a	DET
bracis-19047	144	12	coarsened	coarsen	VERB
bracis-19047	144	13	representation	representation	NOUN
bracis-19047	144	14	is	be	AUX
bracis-19047	144	15	mapping	map	VERB
bracis-19047	144	16	each	each	DET
bracis-19047	144	17	super	super	NOUN
bracis-19047	144	18	-	-	ADJ
bracis-19047	144	19	node	node	ADJ
bracis-19047	144	20	as	as	ADP
bracis-19047	144	21	a	a	DET
bracis-19047	144	22	group	group	NOUN
bracis-19047	144	23	(	(	PUNCT
bracis-19047	144	24	community	community	NOUN
bracis-19047	144	25	or	or	CCONJ
bracis-19047	144	26	cluster	cluster	NOUN
bracis-19047	144	27	)	)	PUNCT
bracis-19047	144	28	and	and	CCONJ
bracis-19047	144	29	evaluate	evaluate	VERB
bracis-19047	144	30	them	they	PRON
bracis-19047	144	31	using	use	VERB
bracis-19047	144	32	quality	quality	NOUN
bracis-19047	144	33	measures	measure	NOUN
bracis-19047	144	34	.	.	PUNCT
bracis-19047	145	1	this	this	DET
bracis-19047	145	2	type	type	NOUN
bracis-19047	145	3	of	of	ADP
bracis-19047	145	4	analysis	analysis	NOUN
bracis-19047	145	5	is	be	AUX
bracis-19047	145	6	considered	consider	VERB
bracis-19047	145	7	a	a	DET
bracis-19047	145	8	benchmark	benchmark	ADJ
bracis-19047	145	9	approach	approach	NOUN
bracis-19047	145	10	in	in	ADP
bracis-19047	145	11	the	the	DET
bracis-19047	145	12	literature	literature	NOUN
bracis-19047	145	13	,	,	PUNCT
bracis-19047	145	14	as	as	SCONJ
bracis-19047	145	15	discussed	discuss	VERB
bracis-19047	145	16	in	in	ADP
bracis-19047	145	17	the	the	DET
bracis-19047	145	18	recent	recent	ADJ
bracis-19047	145	19	surveys	survey	NOUN
bracis-19047	145	20	[	[	X
bracis-19047	145	21	25	25	NUM
bracis-19047	145	22	,	,	PUNCT
bracis-19047	145	23	28	28	NUM
bracis-19047	145	24	]	]	PUNCT
bracis-19047	145	25	and	and	CCONJ
bracis-19047	145	26	in	in	ADP
bracis-19047	145	27	other	other	ADJ
bracis-19047	145	28	studies	study	NOUN
bracis-19047	145	29	,	,	PUNCT
bracis-19047	145	30	as	as	ADP
bracis-19047	145	31	[	[	X
bracis-19047	145	32	6	6	NUM
bracis-19047	145	33	,	,	PUNCT
bracis-19047	145	34	8	8	NUM
bracis-19047	145	35	,	,	PUNCT
bracis-19047	145	36	9	9	NUM
bracis-19047	145	37	,	,	PUNCT
bracis-19047	145	38	18	18	NUM
bracis-19047	145	39	,	,	PUNCT
bracis-19047	145	40	24	24	NUM
bracis-19047	145	41	]	]	PUNCT
bracis-19047	145	42	.	.	PUNCT
bracis-19047	146	1	therefore	therefore	ADV
bracis-19047	146	2	,	,	PUNCT
bracis-19047	146	3	it	it	PRON
bracis-19047	146	4	is	be	AUX
bracis-19047	146	5	natural	natural	ADJ
bracis-19047	146	6	to	to	PART
bracis-19047	146	7	use	use	VERB
bracis-19047	146	8	this	this	DET
bracis-19047	146	9	analysis	analysis	NOUN
bracis-19047	146	10	in	in	ADP
bracis-19047	146	11	our	our	PRON
bracis-19047	146	12	empirical	empirical	ADJ
bracis-19047	146	13	evaluation	evaluation	NOUN
bracis-19047	146	14	.	.	PUNCT
bracis-19047	147	1	the	the	DET
bracis-19047	147	2	following	follow	VERB
bracis-19047	147	3	two	two	NUM
bracis-19047	147	4	measures	measure	NOUN
bracis-19047	147	5	were	be	AUX
bracis-19047	147	6	considered	consider	VERB
bracis-19047	147	7	:	:	PUNCT
bracis-19047	147	8	normalized	normalize	VERB
bracis-19047	147	9	mutual	mutual	ADJ
bracis-19047	147	10	information	information	NOUN
bracis-19047	147	11	(	(	PUNCT
bracis-19047	147	12	nmi	nmi	PROPN
bracis-19047	147	13	)	)	PUNCT
bracis-19047	148	1	[	[	X
bracis-19047	148	2	13	13	NUM
bracis-19047	148	3	]	]	PUNCT
bracis-19047	148	4	,	,	PUNCT
bracis-19047	148	5	which	which	PRON
bracis-19047	148	6	quantifies	quantify	VERB
bracis-19047	148	7	the	the	DET
bracis-19047	148	8	quality	quality	NOUN
bracis-19047	148	9	of	of	ADP
bracis-19047	148	10	the	the	DET
bracis-19047	148	11	disjoint	disjoint	NOUN
bracis-19047	148	12	clusters	cluster	NOUN
bracis-19047	148	13	comparing	compare	VERB
bracis-19047	148	14	the	the	DET
bracis-19047	148	15	solution	solution	NOUN
bracis-19047	148	16	found	find	VERB
bracis-19047	148	17	by	by	ADP
bracis-19047	148	18	a	a	DET
bracis-19047	148	19	selected	select	VERB
bracis-19047	148	20	algorithm	algorithm	NOUN
bracis-19047	148	21	with	with	ADP
bracis-19047	148	22	the	the	DET
bracis-19047	148	23	baseline	baseline	NOUN
bracis-19047	148	24	(	(	PUNCT
bracis-19047	148	25	or	or	CCONJ
bracis-19047	148	26	ground	ground	NOUN
bracis-19047	148	27	truth	truth	NOUN
bracis-19047	148	28	)	)	PUNCT
bracis-19047	148	29	,	,	PUNCT
bracis-19047	148	30	and	and	CCONJ
bracis-19047	148	31	murata	murata	PROPN
bracis-19047	148	32	’s	’s	PART
bracis-19047	148	33	modularity	modularity	NOUN
bracis-19047	148	34	[	[	X
bracis-19047	148	35	16	16	NUM
bracis-19047	148	36	]	]	PUNCT
bracis-19047	148	37	,	,	PUNCT
bracis-19047	148	38	which	which	PRON
bracis-19047	148	39	quantifies	quantify	VERB
bracis-19047	148	40	the	the	DET
bracis-19047	148	41	strength	strength	NOUN
bracis-19047	148	42	of	of	ADP
bracis-19047	148	43	division	division	NOUN
bracis-19047	148	44	of	of	ADP
bracis-19047	148	45	a	a	DET
bracis-19047	148	46	network	network	NOUN
bracis-19047	148	47	into	into	ADP
bracis-19047	148	48	communities	community	NOUN
bracis-19047	148	49	.	.	PUNCT
bracis-19047	149	1	experiments	experiment	NOUN
bracis-19047	149	2	were	be	AUX
bracis-19047	149	3	executed	execute	VERB
bracis-19047	149	4	on	on	ADP
bracis-19047	149	5	a	a	DET
bracis-19047	149	6	linux	linux	NOUN
bracis-19047	149	7	machine	machine	NOUN
bracis-19047	149	8	with	with	ADP
bracis-19047	149	9	an	an	DET
bracis-19047	149	10	6	6	NUM
bracis-19047	149	11	-	-	PUNCT
bracis-19047	149	12	core	core	NOUN
bracis-19047	149	13	processor	processor	NOUN
bracis-19047	149	14	with	with	ADP
bracis-19047	149	15	2.60	2.60	NUM
bracis-19047	149	16	 	 	SPACE
bracis-19047	149	17	ghz	ghz	NOUN
bracis-19047	149	18	and	and	CCONJ
bracis-19047	149	19	16	16	NUM
bracis-19047	149	20	gb	gb	ADJ
bracis-19047	149	21	main	main	ADJ
bracis-19047	149	22	memory	memory	NOUN
bracis-19047	149	23	.	.	PUNCT
bracis-19047	150	1	4.1	4.1	NUM
bracis-19047	150	2	synthetic	synthetic	ADJ
bracis-19047	150	3	networks	network	NOUN
bracis-19047	150	4	the	the	DET
bracis-19047	150	5	benchmark	benchmark	NOUN
bracis-19047	150	6	analysis	analysis	NOUN
bracis-19047	150	7	was	be	AUX
bracis-19047	150	8	conducted	conduct	VERB
bracis-19047	150	9	on	on	ADP
bracis-19047	150	10	thousands	thousand	NOUN
bracis-19047	150	11	of	of	ADP
bracis-19047	150	12	synthetic	synthetic	ADJ
bracis-19047	150	13	networks	network	NOUN
bracis-19047	150	14	obtained	obtain	VERB
bracis-19047	150	15	employing	employ	VERB
bracis-19047	150	16	a	a	DET
bracis-19047	150	17	network	network	NOUN
bracis-19047	150	18	generation	generation	NOUN
bracis-19047	150	19	tool	tool	NOUN
bracis-19047	150	20	called	call	VERB
bracis-19047	150	21	bnoc	bnoc	NOUN
bracis-19047	150	22	,	,	PUNCT
bracis-19047	150	23	proposed	propose	VERB
bracis-19047	150	24	in	in	ADP
bracis-19047	150	25	[	[	X
bracis-19047	150	26	26	26	NUM
bracis-19047	150	27	]	]	PUNCT
bracis-19047	150	28	.	.	PUNCT
bracis-19047	151	1	each	each	DET
bracis-19047	151	2	network	network	NOUN
bracis-19047	151	3	configuration	configuration	NOUN
bracis-19047	151	4	was	be	AUX
bracis-19047	151	5	replicated	replicate	VERB
bracis-19047	151	6	10	10	NUM
bracis-19047	151	7	times	time	NOUN
bracis-19047	151	8	to	to	PART
bracis-19047	151	9	obtain	obtain	VERB
bracis-19047	151	10	the	the	DET
bracis-19047	151	11	average	average	ADJ
bracis-19047	151	12	and	and	CCONJ
bracis-19047	151	13	standard	standard	ADJ
bracis-19047	151	14	deviation	deviation	NOUN
bracis-19047	151	15	.	.	PUNCT
bracis-19047	152	1	default	default	NOUN
bracis-19047	152	2	parameters	parameter	NOUN
bracis-19047	152	3	are	be	AUX
bracis-19047	152	4	presented	present	VERB
bracis-19047	152	5	in	in	ADP
bracis-19047	152	6	[	[	X
bracis-19047	152	7	26	26	NUM
bracis-19047	152	8	]	]	PUNCT
bracis-19047	152	9	.	.	PUNCT
bracis-19047	153	1	first	first	ADV
bracis-19047	153	2	,	,	PUNCT
bracis-19047	153	3	we	we	PRON
bracis-19047	153	4	evaluated	evaluate	VERB
bracis-19047	153	5	the	the	DET
bracis-19047	153	6	sensibility	sensibility	NOUN
bracis-19047	153	7	of	of	ADP
bracis-19047	153	8	the	the	DET
bracis-19047	153	9	algorithms	algorithm	NOUN
bracis-19047	153	10	regarding	regard	VERB
bracis-19047	153	11	the	the	DET
bracis-19047	153	12	noise	noise	NOUN
bracis-19047	153	13	level	level	NOUN
bracis-19047	153	14	in	in	ADP
bracis-19047	153	15	the	the	DET
bracis-19047	153	16	networks	network	NOUN
bracis-19047	153	17	.	.	PUNCT
bracis-19047	154	1	the	the	DET
bracis-19047	154	2	noise	noise	NOUN
bracis-19047	154	3	level	level	NOUN
bracis-19047	154	4	is	be	AUX
bracis-19047	154	5	a	a	DET
bracis-19047	154	6	disturbance	disturbance	NOUN
bracis-19047	154	7	or	or	CCONJ
bracis-19047	154	8	error	error	NOUN
bracis-19047	154	9	in	in	ADP
bracis-19047	154	10	the	the	DET
bracis-19047	154	11	dataset	dataset	NOUN
bracis-19047	154	12	(	(	PUNCT
bracis-19047	154	13	the	the	DET
bracis-19047	154	14	proportion	proportion	NOUN
bracis-19047	154	15	of	of	ADP
bracis-19047	154	16	links	link	NOUN
bracis-19047	154	17	wrongly	wrongly	ADV
bracis-19047	154	18	inserted	insert	VERB
bracis-19047	154	19	)	)	PUNCT
bracis-19047	154	20	,	,	PUNCT
bracis-19047	154	21	e.g.	e.g.	ADV
bracis-19047	154	22	,	,	PUNCT
bracis-19047	154	23	0.5	0.5	NUM
bracis-19047	154	24	means	mean	VERB
bracis-19047	154	25	that	that	SCONJ
bracis-19047	154	26	half	half	NOUN
bracis-19047	154	27	of	of	ADP
bracis-19047	154	28	the	the	DET
bracis-19047	154	29	links	link	NOUN
bracis-19047	154	30	are	be	AUX
bracis-19047	154	31	not	not	PART
bracis-19047	154	32	what	what	PRON
bracis-19047	154	33	they	they	PRON
bracis-19047	154	34	should	should	AUX
bracis-19047	154	35	be	be	AUX
bracis-19047	154	36	.	.	PUNCT
bracis-19047	155	1	noise	noise	NOUN
bracis-19047	155	2	can	can	AUX
bracis-19047	155	3	negatively	negatively	ADV
bracis-19047	155	4	affect	affect	VERB
bracis-19047	155	5	the	the	DET
bracis-19047	155	6	algorithm	algorithm	NOUN
bracis-19047	155	7	’s	’s	PART
bracis-19047	155	8	performance	performance	NOUN
bracis-19047	155	9	in	in	ADP
bracis-19047	155	10	terms	term	NOUN
bracis-19047	155	11	of	of	ADP
bracis-19047	155	12	accuracy	accuracy	NOUN
bracis-19047	155	13	.	.	PUNCT
bracis-19047	156	1	a	a	DET
bracis-19047	156	2	set	set	NOUN
bracis-19047	156	3	of	of	ADP
bracis-19047	156	4	1000	1000	NUM
bracis-19047	156	5	synthetic	synthetic	ADJ
bracis-19047	156	6	bipartite	bipartite	NOUN
bracis-19047	156	7	networks	network	NOUN
bracis-19047	156	8	with	with	ADP
bracis-19047	156	9	distinct	distinct	ADJ
bracis-19047	156	10	noise	noise	NOUN
bracis-19047	156	11	level	level	NOUN
bracis-19047	156	12	was	be	AUX
bracis-19047	156	13	generated	generate	VERB
bracis-19047	156	14	,	,	PUNCT
bracis-19047	156	15	as	as	SCONJ
bracis-19047	156	16	follows	follow	VERB
bracis-19047	156	17	:	:	PUNCT
bracis-19047	156	18	\(|\mathcal	\(|\mathcal	X
bracis-19047	156	19	{	{	PUNCT
bracis-19047	156	20	v}|=2,000\	v}|=2,000\	NOUN
bracis-19047	156	21	)	)	PUNCT
bracis-19047	156	22	with	with	ADP
bracis-19047	156	23	\(|\mathcal	\(|\mathcal	ADJ
bracis-19047	156	24	{	{	PUNCT
bracis-19047	156	25	v}^1|=|\mathcal	v}^1|=|\mathcal	ADJ
bracis-19047	156	26	{	{	PUNCT
bracis-19047	156	27	v}^2|\	v}^2|\	PROPN
bracis-19047	156	28	)	)	PUNCT
bracis-19047	156	29	,	,	PUNCT
bracis-19047	156	30	noise	noise	NOUN
bracis-19047	156	31	within	within	ADP
bracis-19047	156	32	the	the	DET
bracis-19047	156	33	range	range	NOUN
bracis-19047	156	34	[	[	X
bracis-19047	156	35	0.0	0.0	NUM
bracis-19047	156	36	,	,	PUNCT
bracis-19047	156	37	 	 	SPACE
bracis-19047	156	38	1.0	1.0	NUM
bracis-19047	156	39	]	]	PUNCT
bracis-19047	156	40	and	and	CCONJ
bracis-19047	156	41	20	20	NUM
bracis-19047	156	42	communities	community	NOUN
bracis-19047	156	43	for	for	ADP
bracis-19047	156	44	each	each	DET
bracis-19047	156	45	layer	layer	NOUN
bracis-19047	156	46	.	.	PUNCT
bracis-19047	157	1	figure	figure	NOUN
bracis-19047	157	2	 	 	SPACE
bracis-19047	157	3	6(a	6(a	NUM
bracis-19047	157	4	)	)	PUNCT
bracis-19047	157	5	depicts	depict	VERB
bracis-19047	157	6	the	the	DET
bracis-19047	157	7	nmi	nmi	PROPN
bracis-19047	157	8	values	value	NOUN
bracis-19047	157	9	for	for	ADP
bracis-19047	157	10	the	the	DET
bracis-19047	157	11	evaluated	evaluated	ADJ
bracis-19047	157	12	algorithm	algorithm	NOUN
bracis-19047	157	13	as	as	ADP
bracis-19047	157	14	a	a	DET
bracis-19047	157	15	function	function	NOUN
bracis-19047	157	16	of	of	ADP
bracis-19047	157	17	the	the	DET
bracis-19047	157	18	amount	amount	NOUN
bracis-19047	157	19	of	of	ADP
bracis-19047	157	20	noise	noise	NOUN
bracis-19047	157	21	.	.	PUNCT
bracis-19047	158	1	the	the	DET
bracis-19047	158	2	algorithms	algorithm	NOUN
bracis-19047	158	3	exhibit	exhibit	VERB
bracis-19047	158	4	distinct	distinct	ADJ
bracis-19047	158	5	behaviors	behavior	NOUN
bracis-19047	158	6	.	.	PUNCT
bracis-19047	159	1	mlpb	mlpb	NOUN
bracis-19047	159	2	and	and	CCONJ
bracis-19047	159	3	clpb	clpb	PROPN
bracis-19047	159	4	obtained	obtain	VERB
bracis-19047	159	5	high	high	ADJ
bracis-19047	159	6	nmi	nmi	PROPN
bracis-19047	159	7	values	value	NOUN
bracis-19047	159	8	with	with	ADP
bracis-19047	159	9	a	a	DET
bracis-19047	159	10	low	low	ADJ
bracis-19047	159	11	level	level	NOUN
bracis-19047	159	12	of	of	ADP
bracis-19047	159	13	noise	noise	NOUN
bracis-19047	159	14	,	,	PUNCT
bracis-19047	159	15	however	however	ADV
bracis-19047	159	16	,	,	PUNCT
bracis-19047	159	17	nmi	nmi	PROPN
bracis-19047	159	18	values	value	NOUN
bracis-19047	159	19	for	for	ADP
bracis-19047	159	20	mlpb	mlpb	NUM
bracis-19047	159	21	decrease	decrease	VERB
bracis-19047	159	22	quickly	quickly	ADV
bracis-19047	159	23	after	after	ADP
bracis-19047	159	24	0.22	0.22	NUM
bracis-19047	159	25	noise	noise	NOUN
bracis-19047	159	26	level	level	NOUN
bracis-19047	159	27	,	,	PUNCT
bracis-19047	159	28	whereas	whereas	SCONJ
bracis-19047	159	29	clpb	clpb	NOUN
bracis-19047	159	30	decreases	decrease	VERB
bracis-19047	159	31	slowly	slowly	ADV
bracis-19047	159	32	.	.	PUNCT
bracis-19047	160	1	therefore	therefore	ADV
bracis-19047	160	2	,	,	PUNCT
bracis-19047	160	3	mlpb	mlpb	PROPN
bracis-19047	160	4	revealed	reveal	VERB
bracis-19047	160	5	a	a	DET
bracis-19047	160	6	high	high	ADJ
bracis-19047	160	7	noise	noise	NOUN
bracis-19047	160	8	sensibility	sensibility	NOUN
bracis-19047	160	9	.	.	PUNCT
bracis-19047	161	1	although	although	SCONJ
bracis-19047	161	2	gmb	gmb	PROPN
bracis-19047	161	3	,	,	PUNCT
bracis-19047	161	4	rgmb	rgmb	NOUN
bracis-19047	161	5	and	and	CCONJ
bracis-19047	161	6	opm\(_{hem}\	opm\(_{hem}\	NOUN
bracis-19047	161	7	)	)	PUNCT
bracis-19047	161	8	algorithms	algorithm	NOUN
bracis-19047	161	9	obtained	obtain	VERB
bracis-19047	161	10	the	the	DET
bracis-19047	161	11	lowest	low	ADJ
bracis-19047	161	12	nmi	nmi	PROPN
bracis-19047	161	13	values	value	NOUN
bracis-19047	161	14	,	,	PUNCT
bracis-19047	161	15	mainly	mainly	ADV
bracis-19047	161	16	,	,	PUNCT
bracis-19047	161	17	within	within	ADP
bracis-19047	161	18	the	the	DET
bracis-19047	161	19	range	range	NOUN
bracis-19047	161	20	[	[	X
bracis-19047	161	21	0.0	0.0	NUM
bracis-19047	161	22	,	,	PUNCT
bracis-19047	161	23	 	 	SPACE
bracis-19047	161	24	0.4	0.4	NUM
bracis-19047	161	25	]	]	PUNCT
bracis-19047	161	26	,	,	PUNCT
bracis-19047	161	27	their	their	PRON
bracis-19047	161	28	performances	performance	NOUN
bracis-19047	161	29	decrease	decrease	VERB
bracis-19047	161	30	slowly	slowly	ADV
bracis-19047	161	31	compared	compare	VERB
bracis-19047	161	32	with	with	ADP
bracis-19047	161	33	mlpb	mlpb	NUM
bracis-19047	161	34	.	.	PUNCT
bracis-19047	162	1	we	we	PRON
bracis-19047	162	2	also	also	ADV
bracis-19047	162	3	evaluated	evaluate	VERB
bracis-19047	162	4	the	the	DET
bracis-19047	162	5	sensibility	sensibility	NOUN
bracis-19047	162	6	of	of	ADP
bracis-19047	162	7	the	the	DET
bracis-19047	162	8	algorithms	algorithm	NOUN
bracis-19047	162	9	regarding	regard	VERB
bracis-19047	162	10	the	the	DET
bracis-19047	162	11	number	number	NOUN
bracis-19047	162	12	of	of	ADP
bracis-19047	162	13	communities	community	NOUN
bracis-19047	162	14	in	in	ADP
bracis-19047	162	15	the	the	DET
bracis-19047	162	16	networks	network	NOUN
bracis-19047	162	17	.	.	PUNCT
bracis-19047	163	1	a	a	DET
bracis-19047	163	2	set	set	NOUN
bracis-19047	163	3	of	of	ADP
bracis-19047	163	4	1000	1000	NUM
bracis-19047	163	5	synthetic	synthetic	ADJ
bracis-19047	163	6	bipartite	bipartite	NOUN
bracis-19047	163	7	networks	network	NOUN
bracis-19047	163	8	with	with	ADP
bracis-19047	163	9	distinct	distinct	ADJ
bracis-19047	163	10	number	number	NOUN
bracis-19047	163	11	of	of	ADP
bracis-19047	163	12	communities	community	NOUN
bracis-19047	163	13	was	be	AUX
bracis-19047	163	14	generated	generate	VERB
bracis-19047	163	15	,	,	PUNCT
bracis-19047	163	16	as	as	SCONJ
bracis-19047	163	17	follows	follow	VERB
bracis-19047	163	18	:	:	PUNCT
bracis-19047	163	19	\(|\mathcal	\(|\mathcal	X
bracis-19047	163	20	{	{	PUNCT
bracis-19047	163	21	v}|=2,000\	v}|=2,000\	NOUN
bracis-19047	163	22	)	)	PUNCT
bracis-19047	163	23	with	with	ADP
bracis-19047	163	24	\(|\mathcal	\(|\mathcal	ADJ
bracis-19047	163	25	{	{	PUNCT
bracis-19047	163	26	v}^1|=|\mathcal	v}^1|=|\mathcal	ADJ
bracis-19047	163	27	{	{	PUNCT
bracis-19047	163	28	v}^2|\	v}^2|\	PROPN
bracis-19047	163	29	)	)	PUNCT
bracis-19047	163	30	,	,	PUNCT
bracis-19047	163	31	communities	community	NOUN
bracis-19047	163	32	within	within	ADP
bracis-19047	163	33	the	the	DET
bracis-19047	163	34	range	range	NOUN
bracis-19047	163	35	[	[	X
bracis-19047	163	36	1	1	NUM
bracis-19047	163	37	,	,	PUNCT
bracis-19047	163	38	 	 	SPACE
bracis-19047	163	39	500	500	NUM
bracis-19047	163	40	]	]	PUNCT
bracis-19047	163	41	and	and	CCONJ
bracis-19047	163	42	0.3	0.3	NUM
bracis-19047	163	43	of	of	ADP
bracis-19047	163	44	noise	noise	NOUN
bracis-19047	163	45	level	level	NOUN
bracis-19047	163	46	.	.	PUNCT
bracis-19047	164	1	figure	figure	NOUN
bracis-19047	164	2	 	 	SPACE
bracis-19047	164	3	6(b	6(b	NUM
bracis-19047	164	4	)	)	PUNCT
bracis-19047	164	5	depicts	depict	VERB
bracis-19047	164	6	the	the	DET
bracis-19047	164	7	nmi	nmi	PROPN
bracis-19047	164	8	values	value	NOUN
bracis-19047	164	9	for	for	ADP
bracis-19047	164	10	the	the	DET
bracis-19047	164	11	evaluated	evaluated	ADJ
bracis-19047	164	12	algorithm	algorithm	NOUN
bracis-19047	164	13	as	as	ADP
bracis-19047	164	14	a	a	DET
bracis-19047	164	15	function	function	NOUN
bracis-19047	164	16	of	of	ADP
bracis-19047	164	17	the	the	DET
bracis-19047	164	18	number	number	NOUN
bracis-19047	164	19	of	of	ADP
bracis-19047	164	20	communities	community	NOUN
bracis-19047	164	21	.	.	PUNCT
bracis-19047	165	1	gmb	gmb	PROPN
bracis-19047	165	2	,	,	PUNCT
bracis-19047	165	3	rgmb	rgmb	PROPN
bracis-19047	165	4	and	and	CCONJ
bracis-19047	165	5	opm\(_{hem}\	opm\(_{hem}\	NOUN
bracis-19047	165	6	)	)	PUNCT
bracis-19047	165	7	presented	present	VERB
bracis-19047	165	8	a	a	DET
bracis-19047	165	9	high	high	ADJ
bracis-19047	165	10	sensibility	sensibility	NOUN
bracis-19047	165	11	to	to	ADP
bracis-19047	165	12	a	a	DET
bracis-19047	165	13	low	low	ADJ
bracis-19047	165	14	number	number	NOUN
bracis-19047	165	15	of	of	ADP
bracis-19047	165	16	communities	community	NOUN
bracis-19047	165	17	in	in	ADP
bracis-19047	165	18	the	the	DET
bracis-19047	165	19	network	network	NOUN
bracis-19047	165	20	,	,	PUNCT
bracis-19047	165	21	specifically	specifically	ADV
bracis-19047	165	22	,	,	PUNCT
bracis-19047	165	23	within	within	ADP
bracis-19047	165	24	the	the	DET
bracis-19047	165	25	range	range	NOUN
bracis-19047	165	26	[	[	X
bracis-19047	165	27	1	1	NUM
bracis-19047	165	28	,	,	PUNCT
bracis-19047	165	29	 	 	SPACE
bracis-19047	165	30	100	100	NUM
bracis-19047	165	31	]	]	PUNCT
bracis-19047	165	32	,	,	PUNCT
bracis-19047	165	33	in	in	ADP
bracis-19047	165	34	contrast	contrast	NOUN
bracis-19047	165	35	,	,	PUNCT
bracis-19047	165	36	clpb	clpb	NOUN
bracis-19047	165	37	and	and	CCONJ
bracis-19047	165	38	mlpb	mlpb	NOUN
bracis-19047	165	39	obtained	obtain	VERB
bracis-19047	165	40	high	high	ADJ
bracis-19047	165	41	nmi	nmi	PROPN
bracis-19047	165	42	values	value	NOUN
bracis-19047	165	43	in	in	ADP
bracis-19047	165	44	the	the	DET
bracis-19047	165	45	same	same	ADJ
bracis-19047	165	46	range	range	NOUN
bracis-19047	165	47	.	.	PUNCT
bracis-19047	166	1	within	within	ADP
bracis-19047	166	2	the	the	DET
bracis-19047	166	3	range	range	NOUN
bracis-19047	166	4	[	[	X
bracis-19047	166	5	200	200	NUM
bracis-19047	166	6	,	,	PUNCT
bracis-19047	166	7	 	 	SPACE
bracis-19047	166	8	500	500	NUM
bracis-19047	166	9	]	]	PUNCT
bracis-19047	166	10	,	,	PUNCT
bracis-19047	166	11	all	all	DET
bracis-19047	166	12	algorithms	algorithm	NOUN
bracis-19047	166	13	obtained	obtain	VERB
bracis-19047	166	14	close	close	ADJ
bracis-19047	166	15	nmi	nmi	PROPN
bracis-19047	166	16	values	value	NOUN
bracis-19047	166	17	.	.	PUNCT
bracis-19047	167	1	fig	fig	NOUN
bracis-19047	167	2	.	.	PUNCT
bracis-19047	168	1	6	6	NUM
bracis-19047	168	2	.	.	X
bracis-19047	168	3	nmi	nmi	PROPN
bracis-19047	168	4	of	of	ADP
bracis-19047	168	5	the	the	DET
bracis-19047	168	6	algorithms	algorithm	NOUN
bracis-19047	168	7	in	in	ADP
bracis-19047	168	8	relation	relation	NOUN
bracis-19047	168	9	to	to	ADP
bracis-19047	168	10	the	the	DET
bracis-19047	168	11	noise	noise	NOUN
bracis-19047	168	12	level	level	NOUN
bracis-19047	168	13	(	(	PUNCT
bracis-19047	168	14	a	a	NOUN
bracis-19047	168	15	)	)	PUNCT
bracis-19047	168	16	and	and	CCONJ
bracis-19047	168	17	number	number	NOUN
bracis-19047	168	18	of	of	ADP
bracis-19047	168	19	communities	community	NOUN
bracis-19047	168	20	and	and	CCONJ
bracis-19047	168	21	(	(	PUNCT
bracis-19047	168	22	b	b	NOUN
bracis-19047	168	23	)	)	PUNCT
bracis-19047	168	24	in	in	ADP
bracis-19047	168	25	2	2	NUM
bracis-19047	168	26	,	,	PUNCT
bracis-19047	168	27	 	 	SPACE
bracis-19047	168	28	000	000	NUM
bracis-19047	169	1	synthetic	synthetic	ADJ
bracis-19047	169	2	networks	network	NOUN
bracis-19047	169	3	.	.	PUNCT
bracis-19047	170	1	full	full	ADJ
bracis-19047	170	2	size	size	NOUN
bracis-19047	170	3	image	image	NOUN
bracis-19047	170	4	a	a	DET
bracis-19047	170	5	nemenyi	nemenyi	NOUN
bracis-19047	170	6	post	post	ADJ
bracis-19047	170	7	-	-	ADJ
bracis-19047	170	8	hoc	hoc	ADJ
bracis-19047	170	9	test	test	NOUN
bracis-19047	170	10	[	[	X
bracis-19047	170	11	5	5	NUM
bracis-19047	170	12	]	]	PUNCT
bracis-19047	170	13	was	be	AUX
bracis-19047	170	14	applied	apply	VERB
bracis-19047	170	15	to	to	ADP
bracis-19047	170	16	the	the	DET
bracis-19047	170	17	results	result	NOUN
bracis-19047	170	18	depicted	depict	VERB
bracis-19047	170	19	in	in	ADP
bracis-19047	170	20	figs	fig	NOUN
bracis-19047	170	21	.	.	PUNCT
bracis-19047	170	22	 	 	SPACE
bracis-19047	170	23	6(a	6(a	NUM
bracis-19047	170	24	)	)	PUNCT
bracis-19047	170	25	and	and	CCONJ
bracis-19047	170	26	6(b	6(b	NUM
bracis-19047	170	27	)	)	PUNCT
bracis-19047	170	28	to	to	PART
bracis-19047	170	29	detect	detect	VERB
bracis-19047	170	30	statistical	statistical	ADJ
bracis-19047	170	31	differences	difference	NOUN
bracis-19047	170	32	in	in	ADP
bracis-19047	170	33	the	the	DET
bracis-19047	170	34	performances	performance	NOUN
bracis-19047	170	35	of	of	ADP
bracis-19047	170	36	the	the	DET
bracis-19047	170	37	algorithms	algorithm	NOUN
bracis-19047	170	38	.	.	PUNCT
bracis-19047	171	1	the	the	DET
bracis-19047	171	2	critical	critical	ADJ
bracis-19047	171	3	difference	difference	NOUN
bracis-19047	171	4	(	(	PUNCT
bracis-19047	171	5	cd	cd	PROPN
bracis-19047	171	6	)	)	PUNCT
bracis-19047	171	7	is	be	AUX
bracis-19047	171	8	indicated	indicate	VERB
bracis-19047	171	9	at	at	ADP
bracis-19047	171	10	the	the	DET
bracis-19047	171	11	top	top	NOUN
bracis-19047	171	12	of	of	ADP
bracis-19047	171	13	each	each	DET
bracis-19047	171	14	diagram	diagram	NOUN
bracis-19047	171	15	and	and	CCONJ
bracis-19047	171	16	algorithms	algorithm	NOUN
bracis-19047	171	17	’	'	PUNCT
bracis-19047	171	18	average	average	ADJ
bracis-19047	171	19	ranks	rank	NOUN
bracis-19047	171	20	are	be	AUX
bracis-19047	171	21	placed	place	VERB
bracis-19047	171	22	in	in	ADP
bracis-19047	171	23	the	the	DET
bracis-19047	171	24	horizontal	horizontal	ADJ
bracis-19047	171	25	axis	axis	NOUN
bracis-19047	171	26	,	,	PUNCT
bracis-19047	171	27	with	with	ADP
bracis-19047	171	28	the	the	DET
bracis-19047	171	29	best	good	ADJ
bracis-19047	171	30	ranked	rank	VERB
bracis-19047	171	31	to	to	ADP
bracis-19047	171	32	the	the	DET
bracis-19047	171	33	left	left	NOUN
bracis-19047	171	34	.	.	PUNCT
bracis-19047	172	1	a	a	DET
bracis-19047	172	2	black	black	ADJ
bracis-19047	172	3	line	line	NOUN
bracis-19047	172	4	connects	connect	VERB
bracis-19047	172	5	algorithms	algorithm	NOUN
bracis-19047	172	6	for	for	ADP
bracis-19047	172	7	which	which	PRON
bracis-19047	172	8	there	there	PRON
bracis-19047	172	9	is	be	VERB
bracis-19047	172	10	no	no	DET
bracis-19047	172	11	significant	significant	ADJ
bracis-19047	172	12	performance	performance	NOUN
bracis-19047	172	13	difference	difference	NOUN
bracis-19047	172	14	.	.	PUNCT
bracis-19047	173	1	according	accord	VERB
bracis-19047	173	2	to	to	ADP
bracis-19047	173	3	the	the	DET
bracis-19047	173	4	nemenyi	nemenyi	PROPN
bracis-19047	173	5	statistics	statistic	NOUN
bracis-19047	173	6	,	,	PUNCT
bracis-19047	173	7	the	the	DET
bracis-19047	173	8	critical	critical	ADJ
bracis-19047	173	9	value	value	NOUN
bracis-19047	173	10	for	for	ADP
bracis-19047	173	11	comparing	compare	VERB
bracis-19047	173	12	the	the	DET
bracis-19047	173	13	mean	mean	NOUN
bracis-19047	173	14	-	-	PUNCT
bracis-19047	173	15	ranking	ranking	NOUN
bracis-19047	173	16	of	of	ADP
bracis-19047	173	17	two	two	NUM
bracis-19047	173	18	different	different	ADJ
bracis-19047	173	19	algorithms	algorithm	NOUN
bracis-19047	173	20	at	at	ADP
bracis-19047	173	21	95	95	NUM
bracis-19047	173	22	percentiles	percentile	NOUN
bracis-19047	173	23	is	be	AUX
bracis-19047	173	24	0.04	0.04	NUM
bracis-19047	173	25	,	,	PUNCT
bracis-19047	173	26	i.e.	i.e.	X
bracis-19047	173	27	significant	significant	ADJ
bracis-19047	173	28	differences	difference	NOUN
bracis-19047	173	29	are	be	AUX
bracis-19047	173	30	above	above	ADP
bracis-19047	173	31	this	this	DET
bracis-19047	173	32	value	value	NOUN
bracis-19047	173	33	.	.	PUNCT
bracis-19047	174	1	clpb	clpb	PROPN
bracis-19047	174	2	was	be	AUX
bracis-19047	174	3	ranked	rank	VERB
bracis-19047	174	4	first	first	ADV
bracis-19047	174	5	followed	follow	VERB
bracis-19047	174	6	by	by	ADP
bracis-19047	174	7	gmb	gmb	PROPN
bracis-19047	174	8	,	,	PUNCT
bracis-19047	174	9	the	the	DET
bracis-19047	174	10	pair	pair	NOUN
bracis-19047	174	11	mlpb	mlpb	NOUN
bracis-19047	174	12	and	and	CCONJ
bracis-19047	174	13	rgmb	rgmb	NOUN
bracis-19047	174	14	and	and	CCONJ
bracis-19047	174	15	then	then	ADV
bracis-19047	174	16	,	,	PUNCT
bracis-19047	174	17	in	in	ADP
bracis-19047	174	18	last	last	ADJ
bracis-19047	174	19	,	,	PUNCT
bracis-19047	174	20	opm\(_{hem}\	opm\(_{hem}\	PROPN
bracis-19047	174	21	)	)	PUNCT
bracis-19047	174	22	.	.	PUNCT
bracis-19047	175	1	furthermore	furthermore	ADV
bracis-19047	175	2	,	,	PUNCT
bracis-19047	175	3	clpb	clpb	NOUN
bracis-19047	175	4	performs	perform	VERB
bracis-19047	175	5	statistically	statistically	ADV
bracis-19047	175	6	better	well	ADJ
bracis-19047	175	7	than	than	ADP
bracis-19047	175	8	mlpb	mlpb	NUM
bracis-19047	175	9	,	,	PUNCT
bracis-19047	175	10	rgmb	rgmb	NOUN
bracis-19047	175	11	and	and	CCONJ
bracis-19047	175	12	opm\(_{hem}\	opm\(_{hem}\	NOUN
bracis-19047	175	13	)	)	PUNCT
bracis-19047	175	14	algorithms	algorithm	NOUN
bracis-19047	175	15	.	.	PUNCT
bracis-19047	176	1	fig	fig	NOUN
bracis-19047	176	2	.	.	PUNCT
bracis-19047	177	1	7	7	X
bracis-19047	177	2	.	.	X
bracis-19047	177	3	nemenyi	nemenyi	PROPN
bracis-19047	177	4	post	post	ADJ
bracis-19047	177	5	-	-	ADJ
bracis-19047	177	6	hoc	hoc	ADJ
bracis-19047	177	7	test	test	NOUN
bracis-19047	177	8	applied	apply	VERB
bracis-19047	177	9	to	to	ADP
bracis-19047	177	10	the	the	DET
bracis-19047	177	11	results	result	NOUN
bracis-19047	177	12	depicted	depict	VERB
bracis-19047	177	13	in	in	ADP
bracis-19047	177	14	figs	fig	NOUN
bracis-19047	177	15	.	.	PUNCT
bracis-19047	177	16	 	 	SPACE
bracis-19047	177	17	6(a	6(a	NUM
bracis-19047	177	18	)	)	PUNCT
bracis-19047	177	19	and	and	CCONJ
bracis-19047	177	20	6(b	6(b	NUM
bracis-19047	177	21	)	)	PUNCT
bracis-19047	177	22	.	.	PUNCT
bracis-19047	178	1	full	full	ADJ
bracis-19047	178	2	size	size	NOUN
bracis-19047	178	3	image	image	NOUN
bracis-19047	178	4	fig	fig	NOUN
bracis-19047	178	5	.	.	PUNCT
bracis-19047	179	1	8	8	NUM
bracis-19047	179	2	.	.	X
bracis-19047	179	3	runtime	runtime	NOUN
bracis-19047	179	4	as	as	ADP
bracis-19047	179	5	a	a	DET
bracis-19047	179	6	function	function	NOUN
bracis-19047	179	7	of	of	ADP
bracis-19047	179	8	link	link	NOUN
bracis-19047	179	9	-	-	PUNCT
bracis-19047	179	10	density	density	NOUN
bracis-19047	179	11	in	in	ADP
bracis-19047	179	12	1	1	NUM
bracis-19047	179	13	,	,	PUNCT
bracis-19047	179	14	 	 	SPACE
bracis-19047	179	15	000	000	NUM
bracis-19047	179	16	synthetic	synthetic	ADJ
bracis-19047	179	17	networks	network	NOUN
bracis-19047	179	18	:	:	PUNCT
bracis-19047	179	19	(	(	PUNCT
bracis-19047	179	20	b	b	X
bracis-19047	179	21	)	)	PUNCT
bracis-19047	179	22	and	and	CCONJ
bracis-19047	179	23	(	(	PUNCT
bracis-19047	179	24	c	c	X
bracis-19047	179	25	)	)	PUNCT
bracis-19047	179	26	shows	show	VERB
bracis-19047	179	27	the	the	DET
bracis-19047	179	28	total	total	ADJ
bracis-19047	179	29	time	time	NOUN
bracis-19047	179	30	spent	spend	VERB
bracis-19047	179	31	for	for	ADP
bracis-19047	179	32	each	each	DET
bracis-19047	179	33	algorithm	algorithm	NOUN
bracis-19047	179	34	on	on	ADP
bracis-19047	179	35	the	the	DET
bracis-19047	179	36	experiments	experiment	NOUN
bracis-19047	179	37	,	,	PUNCT
bracis-19047	179	38	absolute	absolute	ADJ
bracis-19047	179	39	and	and	CCONJ
bracis-19047	179	40	relative	relative	ADJ
bracis-19047	179	41	values	value	NOUN
bracis-19047	179	42	,	,	PUNCT
bracis-19047	179	43	respectively	respectively	ADV
bracis-19047	179	44	.	.	PUNCT
bracis-19047	180	1	full	full	ADJ
bracis-19047	180	2	size	size	NOUN
bracis-19047	180	3	image	image	NOUN
bracis-19047	180	4	we	we	PRON
bracis-19047	180	5	assessed	assess	VERB
bracis-19047	180	6	the	the	DET
bracis-19047	180	7	scalability	scalability	NOUN
bracis-19047	180	8	of	of	ADP
bracis-19047	180	9	the	the	DET
bracis-19047	180	10	algorithms	algorithm	NOUN
bracis-19047	180	11	in	in	ADP
bracis-19047	180	12	terms	term	NOUN
bracis-19047	180	13	of	of	ADP
bracis-19047	180	14	the	the	DET
bracis-19047	180	15	absolute	absolute	ADJ
bracis-19047	180	16	and	and	CCONJ
bracis-19047	180	17	relative	relative	ADJ
bracis-19047	180	18	total	total	ADJ
bracis-19047	180	19	time	time	NOUN
bracis-19047	180	20	spent	spend	VERB
bracis-19047	180	21	.	.	PUNCT
bracis-19047	181	1	first	first	ADV
bracis-19047	181	2	,	,	PUNCT
bracis-19047	181	3	a	a	DET
bracis-19047	181	4	set	set	NOUN
bracis-19047	181	5	of	of	ADP
bracis-19047	181	6	1000	1000	NUM
bracis-19047	181	7	synthetic	synthetic	ADJ
bracis-19047	181	8	networks	network	NOUN
bracis-19047	181	9	with	with	ADP
bracis-19047	181	10	distinct	distinct	ADJ
bracis-19047	181	11	link	link	NOUN
bracis-19047	181	12	-	-	PUNCT
bracis-19047	181	13	density	density	NOUN
bracis-19047	181	14	was	be	AUX
bracis-19047	181	15	generated	generate	VERB
bracis-19047	181	16	,	,	PUNCT
bracis-19047	181	17	as	as	SCONJ
bracis-19047	181	18	follows	follow	VERB
bracis-19047	181	19	:	:	PUNCT
bracis-19047	181	20	link	link	NOUN
bracis-19047	181	21	-	-	PUNCT
bracis-19047	181	22	density	density	NOUN
bracis-19047	181	23	within	within	ADP
bracis-19047	181	24	the	the	DET
bracis-19047	181	25	range	range	NOUN
bracis-19047	181	26	[	[	X
bracis-19047	181	27	0.01	0.01	NUM
bracis-19047	181	28	,	,	PUNCT
bracis-19047	181	29	 	 	SPACE
bracis-19047	181	30	0.99	0.99	NUM
bracis-19047	181	31	]	]	PUNCT
bracis-19047	181	32	,	,	PUNCT
bracis-19047	181	33	wherein	wherein	SCONJ
bracis-19047	181	34	0.01	0.01	NUM
bracis-19047	181	35	indicates	indicate	VERB
bracis-19047	181	36	very	very	ADV
bracis-19047	181	37	sparse	sparse	ADJ
bracis-19047	181	38	networks	network	NOUN
bracis-19047	181	39	and	and	CCONJ
bracis-19047	181	40	0.99	0.99	NUM
bracis-19047	181	41	indicates	indicate	VERB
bracis-19047	181	42	very	very	ADV
bracis-19047	181	43	dense	dense	ADJ
bracis-19047	181	44	networks	network	NOUN
bracis-19047	181	45	with	with	ADP
bracis-19047	181	46	\(m\approx	\(m\approx	PROPN
bracis-19047	181	47	n^2\	n^2\	NOUN
bracis-19047	181	48	)	)	PUNCT
bracis-19047	181	49	;	;	PUNCT
bracis-19047	181	50	\(|v|=5,000\	\(|v|=5,000\	PROPN
bracis-19047	181	51	)	)	PUNCT
bracis-19047	181	52	with	with	ADP
bracis-19047	181	53	\(|v^1|=|v^2|\	\(|v^1|=|v^2|\	NOUN
bracis-19047	181	54	)	)	PUNCT
bracis-19047	181	55	and	and	CCONJ
bracis-19047	181	56	20	20	NUM
bracis-19047	181	57	communities	community	NOUN
bracis-19047	181	58	at	at	ADP
bracis-19047	181	59	each	each	DET
bracis-19047	181	60	layer	layer	NOUN
bracis-19047	181	61	.	.	PUNCT
bracis-19047	182	1	figure	figure	NOUN
bracis-19047	182	2	 	 	SPACE
bracis-19047	182	3	8	8	NUM
bracis-19047	182	4	shows	show	VERB
bracis-19047	182	5	how	how	SCONJ
bracis-19047	182	6	each	each	DET
bracis-19047	182	7	algorithm	algorithm	NOUN
bracis-19047	182	8	contributed	contribute	VERB
bracis-19047	182	9	to	to	ADP
bracis-19047	182	10	the	the	DET
bracis-19047	182	11	total	total	ADJ
bracis-19047	182	12	time	time	NOUN
bracis-19047	182	13	,	,	PUNCT
bracis-19047	182	14	in	in	ADP
bracis-19047	182	15	both	both	CCONJ
bracis-19047	182	16	absolute	absolute	ADJ
bracis-19047	182	17	values	value	NOUN
bracis-19047	182	18	,	,	PUNCT
bracis-19047	182	19	figs	fig	NOUN
bracis-19047	182	20	.	.	PUNCT
bracis-19047	182	21	 	 	SPACE
bracis-19047	182	22	8(a	8(a	NUM
bracis-19047	182	23	)	)	PUNCT
bracis-19047	182	24	and	and	CCONJ
bracis-19047	182	25	8(b	8(b	NUM
bracis-19047	182	26	)	)	PUNCT
bracis-19047	182	27	,	,	PUNCT
bracis-19047	182	28	and	and	CCONJ
bracis-19047	182	29	relative	relative	ADJ
bracis-19047	182	30	values	value	NOUN
bracis-19047	182	31	,	,	PUNCT
bracis-19047	182	32	fig	fig	NOUN
bracis-19047	182	33	.	.	PUNCT
bracis-19047	182	34	 	 	SPACE
bracis-19047	182	35	8(c	8(c	NUM
bracis-19047	182	36	)	)	PUNCT
bracis-19047	182	37	(	(	PUNCT
bracis-19047	182	38	values	value	NOUN
bracis-19047	182	39	shown	show	VERB
bracis-19047	182	40	on	on	ADP
bracis-19047	182	41	top	top	NOUN
bracis-19047	182	42	of	of	ADP
bracis-19047	182	43	the	the	DET
bracis-19047	182	44	bars	bar	NOUN
bracis-19047	182	45	)	)	PUNCT
bracis-19047	182	46	.	.	PUNCT
bracis-19047	183	1	the	the	DET
bracis-19047	183	2	total	total	ADJ
bracis-19047	183	3	time	time	NOUN
bracis-19047	183	4	spent	spend	VERB
bracis-19047	183	5	running	run	VERB
bracis-19047	183	6	the	the	DET
bracis-19047	183	7	experiments	experiment	NOUN
bracis-19047	183	8	was	be	AUX
bracis-19047	183	9	419	419	NUM
bracis-19047	183	10	,	,	PUNCT
bracis-19047	183	11	 	 	SPACE
bracis-19047	183	12	857.968	857.968	NUM
bracis-19047	183	13	 	 	SPACE
bracis-19047	183	14	s	s	NOUN
bracis-19047	183	15	,	,	PUNCT
bracis-19047	183	16	or	or	CCONJ
bracis-19047	183	17	nearly	nearly	ADV
bracis-19047	183	18	116	116	NUM
bracis-19047	183	19	 	 	SPACE
bracis-19047	183	20	h.	h.	NOUN
bracis-19047	183	21	clpb	clpb	PROPN
bracis-19047	183	22	spent	spend	VERB
bracis-19047	183	23	4	4	NUM
bracis-19047	183	24	,	,	PUNCT
bracis-19047	183	25	 	 	SPACE
bracis-19047	183	26	351.2	351.2	NUM
bracis-19047	183	27	 	 	SPACE
bracis-19047	183	28	s	s	PROPN
bracis-19047	183	29	,	,	PUNCT
bracis-19047	183	30	which	which	PRON
bracis-19047	183	31	is	be	AUX
bracis-19047	183	32	nearly	nearly	ADV
bracis-19047	183	33	\(1.0\%\	\(1.0\%\	NUM
bracis-19047	183	34	)	)	PUNCT
bracis-19047	183	35	of	of	ADP
bracis-19047	183	36	the	the	DET
bracis-19047	183	37	total	total	ADJ
bracis-19047	183	38	time	time	NOUN
bracis-19047	183	39	,	,	PUNCT
bracis-19047	183	40	furthermore	furthermore	ADV
bracis-19047	183	41	,	,	PUNCT
bracis-19047	183	42	clpb	clpb	PROPN
bracis-19047	183	43	ran	run	VERB
bracis-19047	183	44	18	18	NUM
bracis-19047	183	45	to	to	PART
bracis-19047	183	46	35	35	NUM
bracis-19047	183	47	times	time	NOUN
bracis-19047	183	48	faster	fast	ADV
bracis-19047	183	49	than	than	ADP
bracis-19047	183	50	the	the	DET
bracis-19047	183	51	other	other	ADJ
bracis-19047	183	52	algorithms	algorithm	NOUN
bracis-19047	183	53	.	.	PUNCT
bracis-19047	184	1	gmb	gmb	PROPN
bracis-19047	184	2	and	and	CCONJ
bracis-19047	184	3	opm\(_{hem}\	opm\(_{hem}\	PROPN
bracis-19047	184	4	)	)	PUNCT
bracis-19047	184	5	were	be	AUX
bracis-19047	184	6	the	the	DET
bracis-19047	184	7	most	most	ADV
bracis-19047	184	8	expensive	expensive	ADJ
bracis-19047	184	9	algorithms	algorithm	NOUN
bracis-19047	184	10	.	.	PUNCT
bracis-19047	185	1	a	a	DET
bracis-19047	185	2	set	set	NOUN
bracis-19047	185	3	of	of	ADP
bracis-19047	185	4	1000	1000	NUM
bracis-19047	185	5	synthetic	synthetic	ADJ
bracis-19047	185	6	bipartite	bipartite	NOUN
bracis-19047	185	7	networks	network	NOUN
bracis-19047	185	8	with	with	ADP
bracis-19047	185	9	distinct	distinct	ADJ
bracis-19047	185	10	number	number	NOUN
bracis-19047	185	11	of	of	ADP
bracis-19047	185	12	nodes	node	NOUN
bracis-19047	185	13	was	be	AUX
bracis-19047	185	14	generated	generate	VERB
bracis-19047	185	15	,	,	PUNCT
bracis-19047	185	16	as	as	SCONJ
bracis-19047	185	17	follows	follow	VERB
bracis-19047	185	18	:	:	PUNCT
bracis-19047	185	19	the	the	DET
bracis-19047	185	20	number	number	NOUN
bracis-19047	185	21	of	of	ADP
bracis-19047	185	22	nodes	node	NOUN
bracis-19047	185	23	within	within	ADP
bracis-19047	185	24	the	the	DET
bracis-19047	185	25	range	range	NOUN
bracis-19047	185	26	[	[	X
bracis-19047	185	27	1	1	NUM
bracis-19047	185	28	,	,	PUNCT
bracis-19047	185	29	 	 	SPACE
bracis-19047	185	30	000	000	NUM
bracis-19047	185	31	,	,	PUNCT
bracis-19047	185	32	 	 	SPACE
bracis-19047	185	33	40	40	NUM
bracis-19047	185	34	,	,	PUNCT
bracis-19047	185	35	 	 	SPACE
bracis-19047	185	36	000	000	NUM
bracis-19047	185	37	]	]	PUNCT
bracis-19047	185	38	and	and	CCONJ
bracis-19047	185	39	communities	community	NOUN
bracis-19047	185	40	as	as	ADP
bracis-19047	185	41	a	a	DET
bracis-19047	185	42	percentage	percentage	NOUN
bracis-19047	185	43	of	of	ADP
bracis-19047	185	44	the	the	DET
bracis-19047	185	45	number	number	NOUN
bracis-19047	185	46	of	of	ADP
bracis-19047	185	47	nodes	node	NOUN
bracis-19047	185	48	,	,	PUNCT
bracis-19047	185	49	i.e.	i.e.	X
bracis-19047	185	50	\(|v|*0.01\	\(|v|*0.01\	X
bracis-19047	185	51	)	)	PUNCT
bracis-19047	185	52	.	.	PUNCT
bracis-19047	186	1	figure	figure	NOUN
bracis-19047	186	2	 	 	SPACE
bracis-19047	186	3	9	9	NUM
bracis-19047	186	4	shows	show	VERB
bracis-19047	186	5	how	how	SCONJ
bracis-19047	186	6	each	each	DET
bracis-19047	186	7	algorithm	algorithm	NOUN
bracis-19047	186	8	contributed	contribute	VERB
bracis-19047	186	9	to	to	ADP
bracis-19047	186	10	the	the	DET
bracis-19047	186	11	total	total	ADJ
bracis-19047	186	12	time	time	NOUN
bracis-19047	186	13	,	,	PUNCT
bracis-19047	186	14	in	in	ADP
bracis-19047	186	15	both	both	CCONJ
bracis-19047	186	16	absolute	absolute	ADJ
bracis-19047	186	17	values	value	NOUN
bracis-19047	186	18	,	,	PUNCT
bracis-19047	186	19	figs	fig	NOUN
bracis-19047	186	20	.	.	PUNCT
bracis-19047	186	21	 	 	SPACE
bracis-19047	186	22	9(a	9(a	X
bracis-19047	186	23	)	)	PUNCT
bracis-19047	186	24	and	and	CCONJ
bracis-19047	186	25	9(b	9(b	NUM
bracis-19047	186	26	)	)	PUNCT
bracis-19047	186	27	,	,	PUNCT
bracis-19047	186	28	and	and	CCONJ
bracis-19047	186	29	relative	relative	ADJ
bracis-19047	186	30	values	value	NOUN
bracis-19047	186	31	,	,	PUNCT
bracis-19047	186	32	fig	fig	NOUN
bracis-19047	186	33	.	.	PUNCT
bracis-19047	186	34	 	 	SPACE
bracis-19047	186	35	9(c	9(c	NUM
bracis-19047	186	36	)	)	PUNCT
bracis-19047	186	37	(	(	PUNCT
bracis-19047	186	38	values	value	NOUN
bracis-19047	186	39	shown	show	VERB
bracis-19047	186	40	on	on	ADP
bracis-19047	186	41	top	top	NOUN
bracis-19047	186	42	of	of	ADP
bracis-19047	186	43	the	the	DET
bracis-19047	186	44	bars	bar	NOUN
bracis-19047	186	45	)	)	PUNCT
bracis-19047	186	46	.	.	PUNCT
bracis-19047	187	1	the	the	DET
bracis-19047	187	2	total	total	ADJ
bracis-19047	187	3	time	time	NOUN
bracis-19047	187	4	spent	spend	VERB
bracis-19047	187	5	running	run	VERB
bracis-19047	187	6	the	the	DET
bracis-19047	187	7	experiments	experiment	NOUN
bracis-19047	187	8	was	be	AUX
bracis-19047	187	9	128	128	NUM
bracis-19047	187	10	,	,	PUNCT
bracis-19047	187	11	 	 	SPACE
bracis-19047	187	12	151.711	151.711	NUM
bracis-19047	187	13	 	 	SPACE
bracis-19047	187	14	s	s	NOUN
bracis-19047	187	15	,	,	PUNCT
bracis-19047	187	16	or	or	CCONJ
bracis-19047	187	17	nearly	nearly	ADV
bracis-19047	187	18	35	35	NUM
bracis-19047	187	19	 	 	SPACE
bracis-19047	187	20	h.	h.	NOUN
bracis-19047	187	21	clpb	clpb	PROPN
bracis-19047	187	22	spent	spend	VERB
bracis-19047	187	23	5	5	NUM
bracis-19047	187	24	,	,	PUNCT
bracis-19047	187	25	 	 	SPACE
bracis-19047	187	26	644.2	644.2	NUM
bracis-19047	187	27	 	 	SPACE
bracis-19047	187	28	s	s	PROPN
bracis-19047	187	29	,	,	PUNCT
bracis-19047	187	30	which	which	PRON
bracis-19047	187	31	is	be	AUX
bracis-19047	187	32	nearly	nearly	ADV
bracis-19047	187	33	\(4.4\%\	\(4.4\%\	NOUN
bracis-19047	187	34	)	)	PUNCT
bracis-19047	187	35	of	of	ADP
bracis-19047	187	36	the	the	DET
bracis-19047	187	37	total	total	ADJ
bracis-19047	187	38	time	time	NOUN
bracis-19047	187	39	,	,	PUNCT
bracis-19047	187	40	furthermore	furthermore	ADV
bracis-19047	187	41	,	,	PUNCT
bracis-19047	187	42	clpb	clpb	PROPN
bracis-19047	187	43	ran	run	VERB
bracis-19047	187	44	3	3	NUM
bracis-19047	187	45	,	,	PUNCT
bracis-19047	187	46	 	 	SPACE
bracis-19047	187	47	3	3	NUM
bracis-19047	187	48	to	to	PART
bracis-19047	187	49	8	8	NUM
bracis-19047	187	50	,	,	PUNCT
bracis-19047	187	51	 	 	SPACE
bracis-19047	187	52	2	2	NUM
bracis-19047	187	53	times	time	NOUN
bracis-19047	187	54	faster	fast	ADV
bracis-19047	187	55	than	than	ADP
bracis-19047	187	56	the	the	DET
bracis-19047	187	57	other	other	ADJ
bracis-19047	187	58	algorithms	algorithm	NOUN
bracis-19047	187	59	.	.	PUNCT
bracis-19047	188	1	gmb	gmb	PROPN
bracis-19047	188	2	and	and	CCONJ
bracis-19047	188	3	opm\(_{hem}\	opm\(_{hem}\	PROPN
bracis-19047	188	4	)	)	PUNCT
bracis-19047	188	5	were	be	AUX
bracis-19047	188	6	the	the	DET
bracis-19047	188	7	most	most	ADV
bracis-19047	188	8	expensive	expensive	ADJ
bracis-19047	188	9	algorithms	algorithm	NOUN
bracis-19047	188	10	.	.	PUNCT
bracis-19047	189	1	4.2	4.2	NUM
bracis-19047	189	2	real	real	ADJ
bracis-19047	189	3	-	-	PUNCT
bracis-19047	189	4	world	world	NOUN
bracis-19047	189	5	networks	network	NOUN
bracis-19047	189	6	we	we	PRON
bracis-19047	189	7	considered	consider	VERB
bracis-19047	189	8	six	six	NUM
bracis-19047	189	9	real	real	ADJ
bracis-19047	189	10	-	-	PUNCT
bracis-19047	189	11	world	world	NOUN
bracis-19047	189	12	bipartite	bipartite	PROPN
bracis-19047	189	13	networks	network	NOUN
bracis-19047	189	14	available	available	ADJ
bracis-19047	189	15	at	at	ADP
bracis-19047	189	16	konect	konect	NOUN
bracis-19047	189	17	(	(	PUNCT
bracis-19047	189	18	the	the	DET
bracis-19047	189	19	koblenz	koblenz	PROPN
bracis-19047	189	20	network	network	PROPN
bracis-19047	189	21	collection	collection	PROPN
bracis-19047	189	22	)	)	PUNCT
bracis-19047	190	1	[	[	X
bracis-19047	190	2	10	10	NUM
bracis-19047	190	3	]	]	PUNCT
bracis-19047	190	4	.	.	PUNCT
bracis-19047	191	1	we	we	PRON
bracis-19047	191	2	took	take	VERB
bracis-19047	191	3	the	the	DET
bracis-19047	191	4	largest	large	ADJ
bracis-19047	191	5	connected	connected	ADJ
bracis-19047	191	6	component	component	NOUN
bracis-19047	191	7	of	of	ADP
bracis-19047	191	8	each	each	DET
bracis-19047	191	9	network	network	NOUN
bracis-19047	191	10	.	.	PUNCT
bracis-19047	192	1	network	network	NOUN
bracis-19047	192	2	properties	property	NOUN
bracis-19047	192	3	are	be	AUX
bracis-19047	192	4	detailed	detail	VERB
bracis-19047	192	5	in	in	ADP
bracis-19047	192	6	table	table	NOUN
bracis-19047	192	7	 	 	SPACE
bracis-19047	192	8	2(a	2(a	NUM
bracis-19047	192	9	)	)	PUNCT
bracis-19047	192	10	.	.	PUNCT
bracis-19047	193	1	murata	murata	PROPN
bracis-19047	193	2	’s	’s	PART
bracis-19047	193	3	modularity	modularity	NOUN
bracis-19047	193	4	was	be	AUX
bracis-19047	193	5	used	use	VERB
bracis-19047	193	6	to	to	PART
bracis-19047	193	7	obtain	obtain	VERB
bracis-19047	193	8	the	the	DET
bracis-19047	193	9	accuracy	accuracy	NOUN
bracis-19047	193	10	of	of	ADP
bracis-19047	193	11	the	the	DET
bracis-19047	193	12	algorithms	algorithm	NOUN
bracis-19047	193	13	by	by	ADP
bracis-19047	193	14	reducing	reduce	VERB
bracis-19047	193	15	the	the	DET
bracis-19047	193	16	networks	network	NOUN
bracis-19047	193	17	to	to	ADP
bracis-19047	193	18	\(30\%\	\(30\%\	NUM
bracis-19047	193	19	)	)	PUNCT
bracis-19047	193	20	,	,	PUNCT
bracis-19047	193	21	\(50\%\	\(50\%\	NOUN
bracis-19047	193	22	)	)	PUNCT
bracis-19047	193	23	and	and	CCONJ
bracis-19047	193	24	\(80\%\	\(80\%\	NOUN
bracis-19047	193	25	)	)	PUNCT
bracis-19047	193	26	of	of	ADP
bracis-19047	193	27	its	its	PRON
bracis-19047	193	28	original	original	ADJ
bracis-19047	193	29	sizes	size	NOUN
bracis-19047	193	30	.	.	PUNCT
bracis-19047	194	1	fig	fig	NOUN
bracis-19047	194	2	.	.	PUNCT
bracis-19047	195	1	9	9	X
bracis-19047	195	2	.	.	X
bracis-19047	195	3	runtime	runtime	NOUN
bracis-19047	195	4	as	as	ADP
bracis-19047	195	5	a	a	DET
bracis-19047	195	6	function	function	NOUN
bracis-19047	195	7	of	of	ADP
bracis-19047	195	8	the	the	DET
bracis-19047	195	9	number	number	NOUN
bracis-19047	195	10	of	of	ADP
bracis-19047	195	11	nodes	node	NOUN
bracis-19047	195	12	in	in	ADP
bracis-19047	195	13	1	1	NUM
bracis-19047	195	14	,	,	PUNCT
bracis-19047	195	15	 	 	SPACE
bracis-19047	195	16	000	000	NUM
bracis-19047	195	17	synthetic	synthetic	ADJ
bracis-19047	195	18	networks	network	NOUN
bracis-19047	195	19	:	:	PUNCT
bracis-19047	195	20	(	(	PUNCT
bracis-19047	195	21	b	b	X
bracis-19047	195	22	)	)	PUNCT
bracis-19047	195	23	and	and	CCONJ
bracis-19047	195	24	(	(	PUNCT
bracis-19047	195	25	c	c	X
bracis-19047	195	26	)	)	PUNCT
bracis-19047	195	27	show	show	VERB
bracis-19047	195	28	the	the	DET
bracis-19047	195	29	total	total	ADJ
bracis-19047	195	30	time	time	NOUN
bracis-19047	195	31	spent	spend	VERB
bracis-19047	195	32	for	for	ADP
bracis-19047	195	33	each	each	DET
bracis-19047	195	34	algorithm	algorithm	NOUN
bracis-19047	195	35	on	on	ADP
bracis-19047	195	36	the	the	DET
bracis-19047	195	37	experiments	experiment	NOUN
bracis-19047	195	38	,	,	PUNCT
bracis-19047	195	39	absolute	absolute	ADJ
bracis-19047	195	40	and	and	CCONJ
bracis-19047	195	41	relative	relative	ADJ
bracis-19047	195	42	values	value	NOUN
bracis-19047	195	43	,	,	PUNCT
bracis-19047	195	44	respectively	respectively	ADV
bracis-19047	195	45	.	.	PUNCT
bracis-19047	196	1	full	full	ADJ
bracis-19047	196	2	size	size	NOUN
bracis-19047	196	3	image	image	NOUN
bracis-19047	196	4	considering	consider	VERB
bracis-19047	196	5	\(30\%\	\(30\%\	X
bracis-19047	196	6	)	)	PUNCT
bracis-19047	196	7	,	,	PUNCT
bracis-19047	196	8	\(50\%\	\(50\%\	NOUN
bracis-19047	196	9	)	)	PUNCT
bracis-19047	196	10	and	and	CCONJ
bracis-19047	196	11	\(80\%\	\(80\%\	NOUN
bracis-19047	196	12	)	)	PUNCT
bracis-19047	196	13	of	of	ADP
bracis-19047	196	14	network	network	NOUN
bracis-19047	196	15	reduction	reduction	NOUN
bracis-19047	196	16	,	,	PUNCT
bracis-19047	196	17	summarized	summarize	VERB
bracis-19047	196	18	in	in	ADP
bracis-19047	196	19	tables	table	NOUN
bracis-19047	196	20	 	 	SPACE
bracis-19047	196	21	2(b	2(b	NUM
bracis-19047	196	22	)	)	PUNCT
bracis-19047	196	23	,	,	PUNCT
bracis-19047	196	24	2(c	2(c	NUM
bracis-19047	196	25	)	)	PUNCT
bracis-19047	196	26	and	and	CCONJ
bracis-19047	196	27	2(d	2(d	NUM
bracis-19047	196	28	)	)	PUNCT
bracis-19047	196	29	,	,	PUNCT
bracis-19047	196	30	clpb	clpb	PROPN
bracis-19047	196	31	yielded	yield	VERB
bracis-19047	196	32	the	the	DET
bracis-19047	196	33	best	good	ADJ
bracis-19047	196	34	values	value	NOUN
bracis-19047	196	35	on	on	ADP
bracis-19047	196	36	4	4	NUM
bracis-19047	196	37	,	,	PUNCT
bracis-19047	196	38	5	5	NUM
bracis-19047	196	39	and	and	CCONJ
bracis-19047	196	40	3	3	NUM
bracis-19047	196	41	networks	network	NOUN
bracis-19047	196	42	,	,	PUNCT
bracis-19047	196	43	respectively	respectively	ADV
bracis-19047	196	44	;	;	PUNCT
bracis-19047	196	45	and	and	CCONJ
bracis-19047	196	46	mlpb	mlpb	NOUN
bracis-19047	196	47	yielded	yield	VERB
bracis-19047	196	48	the	the	DET
bracis-19047	196	49	best	good	ADJ
bracis-19047	196	50	values	value	NOUN
bracis-19047	196	51	on	on	ADP
bracis-19047	196	52	2	2	NUM
bracis-19047	196	53	networks	network	NOUN
bracis-19047	196	54	at	at	ADP
bracis-19047	196	55	each	each	PRON
bracis-19047	196	56	of	of	ADP
bracis-19047	196	57	the	the	DET
bracis-19047	196	58	three	three	NUM
bracis-19047	196	59	cases	case	NOUN
bracis-19047	196	60	.	.	PUNCT
bracis-19047	197	1	the	the	DET
bracis-19047	197	2	pair	pair	NOUN
bracis-19047	197	3	gmb	gmb	PROPN
bracis-19047	197	4	and	and	CCONJ
bracis-19047	197	5	opm\(_{hem}\	opm\(_{hem}\	NOUN
bracis-19047	197	6	)	)	PUNCT
bracis-19047	197	7	obtained	obtain	VERB
bracis-19047	197	8	the	the	DET
bracis-19047	197	9	best	good	ADJ
bracis-19047	197	10	value	value	NOUN
bracis-19047	197	11	on	on	ADP
bracis-19047	197	12	one	one	NUM
bracis-19047	197	13	network	network	NOUN
bracis-19047	197	14	with	with	ADP
bracis-19047	197	15	\(80\%\	\(80\%\	NOUN
bracis-19047	197	16	)	)	PUNCT
bracis-19047	197	17	of	of	ADP
bracis-19047	197	18	network	network	NOUN
bracis-19047	197	19	reduction	reduction	NOUN
bracis-19047	197	20	.	.	PUNCT
bracis-19047	198	1	a	a	DET
bracis-19047	198	2	nemenyi	nemenyi	ADJ
bracis-19047	198	3	post	post	ADJ
bracis-19047	198	4	-	-	ADJ
bracis-19047	198	5	hoc	hoc	ADJ
bracis-19047	198	6	test	test	NOUN
bracis-19047	198	7	was	be	AUX
bracis-19047	198	8	applied	apply	VERB
bracis-19047	198	9	to	to	ADP
bracis-19047	198	10	the	the	DET
bracis-19047	198	11	results	result	NOUN
bracis-19047	198	12	,	,	PUNCT
bracis-19047	198	13	shown	show	VERB
bracis-19047	198	14	in	in	ADP
bracis-19047	198	15	figs	fig	NOUN
bracis-19047	198	16	.	.	PUNCT
bracis-19047	198	17	 	 	SPACE
bracis-19047	198	18	10(a	10(a	NUM
bracis-19047	198	19	)	)	PUNCT
bracis-19047	198	20	,	,	PUNCT
bracis-19047	198	21	10(b	10(b	NUM
bracis-19047	198	22	)	)	PUNCT
bracis-19047	198	23	and	and	CCONJ
bracis-19047	198	24	10(c	10(c	NUM
bracis-19047	198	25	)	)	PUNCT
bracis-19047	198	26	,	,	PUNCT
bracis-19047	198	27	obtained	obtain	VERB
bracis-19047	198	28	from	from	ADP
bracis-19047	198	29	\(30\%\	\(30\%\	NUM
bracis-19047	198	30	)	)	PUNCT
bracis-19047	198	31	,	,	PUNCT
bracis-19047	198	32	\(50\%\	\(50\%\	NOUN
bracis-19047	198	33	)	)	PUNCT
bracis-19047	198	34	and	and	CCONJ
bracis-19047	198	35	\(80\%\	\(80\%\	NOUN
bracis-19047	198	36	)	)	PUNCT
bracis-19047	198	37	of	of	ADP
bracis-19047	198	38	network	network	NOUN
bracis-19047	198	39	reduction	reduction	NOUN
bracis-19047	198	40	,	,	PUNCT
bracis-19047	198	41	respectively	respectively	ADV
bracis-19047	198	42	.	.	PUNCT
bracis-19047	199	1	figure	figure	NOUN
bracis-19047	199	2	 	 	SPACE
bracis-19047	199	3	10(d	10(d	NUM
bracis-19047	199	4	)	)	PUNCT
bracis-19047	199	5	summarizes	summarize	VERB
bracis-19047	199	6	the	the	DET
bracis-19047	199	7	overall	overall	ADJ
bracis-19047	199	8	results	result	NOUN
bracis-19047	199	9	.	.	PUNCT
bracis-19047	200	1	according	accord	VERB
bracis-19047	200	2	to	to	ADP
bracis-19047	200	3	the	the	DET
bracis-19047	200	4	nemenyi	nemenyi	PROPN
bracis-19047	200	5	statistics	statistic	NOUN
bracis-19047	200	6	,	,	PUNCT
bracis-19047	200	7	the	the	DET
bracis-19047	200	8	critical	critical	ADJ
bracis-19047	200	9	value	value	NOUN
bracis-19047	200	10	for	for	ADP
bracis-19047	200	11	comparing	compare	VERB
bracis-19047	200	12	the	the	DET
bracis-19047	200	13	average	average	ADJ
bracis-19047	200	14	-	-	PUNCT
bracis-19047	200	15	ranking	ranking	NOUN
bracis-19047	200	16	of	of	ADP
bracis-19047	200	17	two	two	NUM
bracis-19047	200	18	algorithms	algorithm	NOUN
bracis-19047	200	19	at	at	ADP
bracis-19047	200	20	the	the	DET
bracis-19047	200	21	95	95	NUM
bracis-19047	200	22	percentile	percentile	NOUN
bracis-19047	200	23	is	be	AUX
bracis-19047	200	24	1.11	1.11	NUM
bracis-19047	200	25	.	.	PUNCT
bracis-19047	201	1	according	accord	VERB
bracis-19047	201	2	to	to	ADP
bracis-19047	201	3	fig	fig	NOUN
bracis-19047	201	4	.	.	PUNCT
bracis-19047	201	5	 	 	SPACE
bracis-19047	201	6	10(d	10(d	NUM
bracis-19047	201	7	)	)	PUNCT
bracis-19047	201	8	,	,	PUNCT
bracis-19047	201	9	clpb	clpb	PROPN
bracis-19047	201	10	was	be	AUX
bracis-19047	201	11	ranked	rank	VERB
bracis-19047	201	12	best	well	ADV
bracis-19047	201	13	,	,	PUNCT
bracis-19047	201	14	followed	follow	VERB
bracis-19047	201	15	by	by	ADP
bracis-19047	201	16	mlpb	mlpb	NUM
bracis-19047	201	17	,	,	PUNCT
bracis-19047	201	18	the	the	DET
bracis-19047	201	19	pair	pair	NOUN
bracis-19047	201	20	gmb	gmb	NOUN
bracis-19047	201	21	and	and	CCONJ
bracis-19047	201	22	opm	opm	PROPN
bracis-19047	201	23	and	and	CCONJ
bracis-19047	201	24	,	,	PUNCT
bracis-19047	201	25	in	in	ADP
bracis-19047	201	26	last	last	ADJ
bracis-19047	201	27	,	,	PUNCT
bracis-19047	201	28	rgmb	rgmb	NOUN
bracis-19047	201	29	.	.	PUNCT
bracis-19047	202	1	furthermore	furthermore	ADV
bracis-19047	202	2	,	,	PUNCT
bracis-19047	202	3	clpb	clpb	NOUN
bracis-19047	202	4	performs	perform	VERB
bracis-19047	202	5	statistically	statistically	ADV
bracis-19047	202	6	better	well	ADJ
bracis-19047	202	7	than	than	ADP
bracis-19047	202	8	gmb	gmb	PROPN
bracis-19047	202	9	,	,	PUNCT
bracis-19047	202	10	rgmb	rgmb	NOUN
bracis-19047	202	11	and	and	CCONJ
bracis-19047	202	12	opm\(_{hem}\	opm\(_{hem}\	NOUN
bracis-19047	202	13	)	)	PUNCT
bracis-19047	202	14	.	.	PUNCT
bracis-19047	203	1	the	the	DET
bracis-19047	203	2	empirical	empirical	ADJ
bracis-19047	203	3	investigation	investigation	NOUN
bracis-19047	203	4	showed	show	VERB
bracis-19047	203	5	that	that	SCONJ
bracis-19047	203	6	clpb	clpb	NOUN
bracis-19047	203	7	yielded	yield	VERB
bracis-19047	203	8	more	more	ADV
bracis-19047	203	9	accurate	accurate	ADJ
bracis-19047	203	10	and	and	CCONJ
bracis-19047	203	11	stable	stable	ADJ
bracis-19047	203	12	results	result	NOUN
bracis-19047	203	13	compared	compare	VERB
bracis-19047	203	14	to	to	ADP
bracis-19047	203	15	the	the	DET
bracis-19047	203	16	standard	standard	ADJ
bracis-19047	203	17	algorithms	algorithm	NOUN
bracis-19047	203	18	and	and	CCONJ
bracis-19047	203	19	requires	require	VERB
bracis-19047	203	20	considerably	considerably	ADV
bracis-19047	203	21	lower	low	ADJ
bracis-19047	203	22	execution	execution	NOUN
bracis-19047	203	23	time	time	NOUN
bracis-19047	203	24	.	.	PUNCT
bracis-19047	204	1	it	it	PRON
bracis-19047	204	2	is	be	AUX
bracis-19047	204	3	a	a	DET
bracis-19047	204	4	strong	strong	ADJ
bracis-19047	204	5	indicator	indicator	NOUN
bracis-19047	204	6	of	of	ADP
bracis-19047	204	7	its	its	PRON
bracis-19047	204	8	performance	performance	NOUN
bracis-19047	204	9	on	on	ADP
bracis-19047	204	10	large	large	ADJ
bracis-19047	204	11	-	-	PUNCT
bracis-19047	204	12	enough	enough	ADJ
bracis-19047	204	13	problem	problem	NOUN
bracis-19047	204	14	sizes	size	NOUN
bracis-19047	204	15	and	and	CCONJ
bracis-19047	204	16	must	must	AUX
bracis-19047	204	17	foster	foster	VERB
bracis-19047	204	18	the	the	DET
bracis-19047	204	19	development	development	NOUN
bracis-19047	204	20	of	of	ADP
bracis-19047	204	21	novel	novel	ADJ
bracis-19047	204	22	scalable	scalable	ADJ
bracis-19047	204	23	solutions	solution	NOUN
bracis-19047	204	24	defined	define	VERB
bracis-19047	204	25	in	in	ADP
bracis-19047	204	26	bipartite	bipartite	PROPN
bracis-19047	204	27	networks	network	NOUN
bracis-19047	204	28	,	,	PUNCT
bracis-19047	204	29	including	include	VERB
bracis-19047	204	30	network	network	NOUN
bracis-19047	204	31	visualization	visualization	NOUN
bracis-19047	204	32	,	,	PUNCT
bracis-19047	204	33	trajectory	trajectory	NOUN
bracis-19047	204	34	mining	mining	NOUN
bracis-19047	204	35	,	,	PUNCT
bracis-19047	204	36	community	community	NOUN
bracis-19047	204	37	detection	detection	NOUN
bracis-19047	204	38	or	or	CCONJ
bracis-19047	204	39	graph	graph	NOUN
bracis-19047	204	40	partitioning	partitioning	NOUN
bracis-19047	204	41	,	,	PUNCT
bracis-19047	204	42	data	datum	NOUN
bracis-19047	204	43	dimension	dimension	NOUN
bracis-19047	204	44	reduction	reduction	NOUN
bracis-19047	204	45	and	and	CCONJ
bracis-19047	204	46	optimization	optimization	NOUN
bracis-19047	204	47	of	of	ADP
bracis-19047	204	48	high	high	ADJ
bracis-19047	204	49	-	-	PUNCT
bracis-19047	204	50	complexity	complexity	NOUN
bracis-19047	204	51	algorithms	algorithm	NOUN
bracis-19047	204	52	[	[	X
bracis-19047	204	53	3	3	NUM
bracis-19047	204	54	,	,	PUNCT
bracis-19047	204	55	15	15	NUM
bracis-19047	204	56	,	,	PUNCT
bracis-19047	204	57	27	27	NUM
bracis-19047	204	58	]	]	PUNCT
bracis-19047	204	59	.	.	PUNCT
bracis-19047	205	1	table	table	NOUN
bracis-19047	205	2	2	2	NUM
bracis-19047	205	3	.	.	PUNCT
bracis-19047	205	4	modularity	modularity	NOUN
bracis-19047	205	5	scores	score	NOUN
bracis-19047	205	6	of	of	ADP
bracis-19047	205	7	the	the	DET
bracis-19047	205	8	algorithms	algorithm	NOUN
bracis-19047	205	9	:	:	PUNCT
bracis-19047	205	10	(	(	PUNCT
bracis-19047	205	11	a	a	X
bracis-19047	205	12	)	)	PUNCT
bracis-19047	205	13	summaries	summary	NOUN
bracis-19047	205	14	the	the	DET
bracis-19047	205	15	properties	property	NOUN
bracis-19047	205	16	of	of	ADP
bracis-19047	205	17	the	the	DET
bracis-19047	205	18	networks	network	NOUN
bracis-19047	205	19	;	;	PUNCT
bracis-19047	205	20	(	(	PUNCT
bracis-19047	205	21	b	b	X
bracis-19047	205	22	)	)	PUNCT
bracis-19047	205	23	,	,	PUNCT
bracis-19047	205	24	(	(	PUNCT
bracis-19047	205	25	c	c	X
bracis-19047	205	26	)	)	PUNCT
bracis-19047	205	27	and	and	CCONJ
bracis-19047	205	28	(	(	PUNCT
bracis-19047	205	29	c	c	X
bracis-19047	205	30	)	)	PUNCT
bracis-19047	205	31	presented	present	VERB
bracis-19047	205	32	modularity	modularity	NOUN
bracis-19047	205	33	scores	score	NOUN
bracis-19047	205	34	of	of	ADP
bracis-19047	205	35	the	the	DET
bracis-19047	205	36	algorithms	algorithm	NOUN
bracis-19047	205	37	considering	consider	VERB
bracis-19047	205	38	\(30\%\	\(30\%\	X
bracis-19047	205	39	)	)	PUNCT
bracis-19047	205	40	,	,	PUNCT
bracis-19047	205	41	\(50\%\	\(50\%\	NOUN
bracis-19047	205	42	)	)	PUNCT
bracis-19047	205	43	and	and	CCONJ
bracis-19047	205	44	\(80\%\	\(80\%\	NOUN
bracis-19047	205	45	)	)	PUNCT
bracis-19047	205	46	of	of	ADP
bracis-19047	205	47	network	network	NOUN
bracis-19047	205	48	reduction	reduction	NOUN
bracis-19047	205	49	,	,	PUNCT
bracis-19047	205	50	respectively.full	respectively.full	NOUN
bracis-19047	205	51	size	size	NOUN
bracis-19047	205	52	table	table	NOUN
bracis-19047	205	53	fig	fig	NOUN
bracis-19047	205	54	.	.	PUNCT
bracis-19047	206	1	10	10	NUM
bracis-19047	206	2	.	.	X
bracis-19047	206	3	nemenyi	nemenyi	PROPN
bracis-19047	206	4	post	post	ADJ
bracis-19047	206	5	-	-	ADJ
bracis-19047	206	6	hoc	hoc	ADJ
bracis-19047	206	7	test	test	NOUN
bracis-19047	206	8	:	:	PUNCT
bracis-19047	206	9	(	(	PUNCT
bracis-19047	206	10	a	a	X
bracis-19047	206	11	)	)	PUNCT
bracis-19047	206	12	,	,	PUNCT
bracis-19047	206	13	(	(	PUNCT
bracis-19047	206	14	b	b	X
bracis-19047	206	15	)	)	PUNCT
bracis-19047	206	16	and	and	CCONJ
bracis-19047	206	17	(	(	PUNCT
bracis-19047	206	18	c	c	X
bracis-19047	206	19	)	)	PUNCT
bracis-19047	206	20	represent	represent	VERB
bracis-19047	206	21	the	the	DET
bracis-19047	206	22	results	result	NOUN
bracis-19047	206	23	depicted	depict	VERB
bracis-19047	206	24	in	in	ADP
bracis-19047	206	25	tables	table	NOUN
bracis-19047	206	26	(	(	PUNCT
bracis-19047	206	27	b	b	NOUN
bracis-19047	206	28	)	)	PUNCT
bracis-19047	206	29	,	,	PUNCT
bracis-19047	206	30	(	(	PUNCT
bracis-19047	206	31	d	d	X
bracis-19047	206	32	)	)	PUNCT
bracis-19047	206	33	and	and	CCONJ
bracis-19047	206	34	(	(	PUNCT
bracis-19047	206	35	d	d	NOUN
bracis-19047	206	36	)	)	PUNCT
bracis-19047	206	37	;	;	PUNCT
bracis-19047	206	38	alternatively	alternatively	ADV
bracis-19047	206	39	,	,	PUNCT
bracis-19047	206	40	(	(	PUNCT
bracis-19047	206	41	d	d	X
bracis-19047	206	42	)	)	PUNCT
bracis-19047	206	43	summarizes	summarize	VERB
bracis-19047	206	44	the	the	DET
bracis-19047	206	45	overall	overall	ADJ
bracis-19047	206	46	results	result	NOUN
bracis-19047	206	47	.	.	PUNCT
bracis-19047	207	1	full	full	ADJ
bracis-19047	207	2	size	size	NOUN
bracis-19047	207	3	image	image	NOUN
bracis-19047	207	4	5	5	NUM
bracis-19047	207	5	conclusion	conclusion	NOUN
bracis-19047	207	6	we	we	PRON
bracis-19047	207	7	have	have	AUX
bracis-19047	207	8	proposed	propose	VERB
bracis-19047	207	9	a	a	DET
bracis-19047	207	10	novel	novel	ADJ
bracis-19047	207	11	time	time	NOUN
bracis-19047	207	12	-	-	PUNCT
bracis-19047	207	13	effective	effective	ADJ
bracis-19047	207	14	semi	semi	ADJ
bracis-19047	207	15	-	-	ADJ
bracis-19047	207	16	synchronous	synchronous	ADJ
bracis-19047	207	17	coarsening	coarsen	VERB
bracis-19047	207	18	algorithm	algorithm	NOUN
bracis-19047	207	19	to	to	PART
bracis-19047	207	20	handle	handle	VERB
bracis-19047	207	21	large	large	ADJ
bracis-19047	207	22	-	-	PUNCT
bracis-19047	207	23	scale	scale	NOUN
bracis-19047	207	24	bipartite	bipartite	NOUN
bracis-19047	207	25	networks	network	NOUN
bracis-19047	207	26	,	,	PUNCT
bracis-19047	207	27	called	call	VERB
bracis-19047	207	28	clpb	clpb	NOUN
bracis-19047	207	29	.	.	PUNCT
bracis-19047	208	1	we	we	PRON
bracis-19047	208	2	introduce	introduce	VERB
bracis-19047	208	3	the	the	DET
bracis-19047	208	4	cross	cross	ADJ
bracis-19047	208	5	-	-	ADJ
bracis-19047	208	6	propagation	propagation	NOUN
bracis-19047	208	7	concept	concept	NOUN
bracis-19047	208	8	in	in	ADP
bracis-19047	208	9	the	the	DET
bracis-19047	208	10	model	model	NOUN
bracis-19047	208	11	to	to	PART
bracis-19047	208	12	overcome	overcome	VERB
bracis-19047	208	13	unstable	unstable	ADJ
bracis-19047	208	14	issues	issue	NOUN
bracis-19047	208	15	,	,	PUNCT
bracis-19047	208	16	as	as	SCONJ
bracis-19047	208	17	the	the	DET
bracis-19047	208	18	cyclic	cyclic	ADJ
bracis-19047	208	19	oscillations	oscillation	NOUN
bracis-19047	208	20	found	find	VERB
bracis-19047	208	21	state	state	NOUN
bracis-19047	208	22	-	-	PUNCT
bracis-19047	208	23	of	of	ADP
bracis-19047	208	24	-	-	PUNCT
bracis-19047	208	25	the	the	DET
bracis-19047	208	26	-	-	PUNCT
bracis-19047	208	27	art	art	NOUN
bracis-19047	208	28	algorithms	algorithm	NOUN
bracis-19047	208	29	.	.	PUNCT
bracis-19047	209	1	furthermore	furthermore	ADV
bracis-19047	209	2	,	,	PUNCT
bracis-19047	209	3	clpb	clpb	PROPN
bracis-19047	209	4	employs	employ	VERB
bracis-19047	209	5	a	a	DET
bracis-19047	209	6	search	search	NOUN
bracis-19047	209	7	strategy	strategy	NOUN
bracis-19047	209	8	that	that	PRON
bracis-19047	209	9	only	only	ADV
bracis-19047	209	10	visits	visit	VERB
bracis-19047	209	11	the	the	DET
bracis-19047	209	12	immediate	immediate	ADJ
bracis-19047	209	13	neighborhood	neighborhood	NOUN
bracis-19047	209	14	of	of	ADP
bracis-19047	209	15	each	each	DET
bracis-19047	209	16	node	node	NOUN
bracis-19047	209	17	,	,	PUNCT
bracis-19047	209	18	which	which	PRON
bracis-19047	209	19	is	be	AUX
bracis-19047	209	20	more	more	ADV
bracis-19047	209	21	suitable	suitable	ADJ
bracis-19047	209	22	to	to	PART
bracis-19047	209	23	evaluate	evaluate	VERB
bracis-19047	209	24	large	large	ADJ
bracis-19047	209	25	-	-	PUNCT
bracis-19047	209	26	scale	scale	NOUN
bracis-19047	209	27	networks	network	NOUN
bracis-19047	209	28	even	even	ADV
bracis-19047	209	29	with	with	ADP
bracis-19047	209	30	high	high	ADJ
bracis-19047	209	31	link	link	NOUN
bracis-19047	209	32	-	-	PUNCT
bracis-19047	209	33	density	density	NOUN
bracis-19047	209	34	.	.	PUNCT
bracis-19047	210	1	consequently	consequently	ADV
bracis-19047	210	2	,	,	PUNCT
bracis-19047	210	3	the	the	DET
bracis-19047	210	4	algorithm	algorithm	NOUN
bracis-19047	210	5	has	have	VERB
bracis-19047	210	6	low	low	ADJ
bracis-19047	210	7	computational	computational	ADJ
bracis-19047	210	8	complexity	complexity	NOUN
bracis-19047	210	9	.	.	PUNCT
bracis-19047	211	1	empirical	empirical	ADJ
bracis-19047	211	2	analysis	analysis	NOUN
bracis-19047	211	3	on	on	ADP
bracis-19047	211	4	thousands	thousand	NOUN
bracis-19047	211	5	of	of	ADP
bracis-19047	211	6	networks	network	NOUN
bracis-19047	211	7	provided	provide	VERB
bracis-19047	211	8	compelling	compelling	ADJ
bracis-19047	211	9	evidence	evidence	NOUN
bracis-19047	211	10	that	that	SCONJ
bracis-19047	211	11	clpb	clpb	NOUN
bracis-19047	211	12	outperforms	outperform	VERB
bracis-19047	211	13	the	the	DET
bracis-19047	211	14	state	state	NOUN
bracis-19047	211	15	-	-	PUNCT
bracis-19047	211	16	of	of	ADP
bracis-19047	211	17	-	-	PUNCT
bracis-19047	211	18	the	the	DET
bracis-19047	211	19	-	-	PUNCT
bracis-19047	211	20	art	art	NOUN
bracis-19047	211	21	algorithms	algorithm	NOUN
bracis-19047	211	22	regarding	regard	VERB
bracis-19047	211	23	accuracy	accuracy	NOUN
bracis-19047	211	24	and	and	CCONJ
bracis-19047	211	25	demands	demand	VERB
bracis-19047	211	26	considerably	considerably	ADV
bracis-19047	211	27	shorter	short	ADJ
bracis-19047	211	28	execution	execution	NOUN
bracis-19047	211	29	times	time	NOUN
bracis-19047	211	30	,	,	PUNCT
bracis-19047	211	31	specifically	specifically	ADV
bracis-19047	211	32	,	,	PUNCT
bracis-19047	211	33	clpb	clpb	PROPN
bracis-19047	211	34	was	be	AUX
bracis-19047	211	35	4	4	NUM
bracis-19047	211	36	to	to	PART
bracis-19047	211	37	35	35	NUM
bracis-19047	211	38	times	time	NOUN
bracis-19047	211	39	faster	fast	ADV
bracis-19047	211	40	as	as	SCONJ
bracis-19047	211	41	compared	compare	VERB
bracis-19047	211	42	to	to	ADP
bracis-19047	211	43	the	the	DET
bracis-19047	211	44	established	establish	VERB
bracis-19047	211	45	algorithms	algorithm	NOUN
bracis-19047	211	46	.	.	PUNCT
bracis-19047	212	1	note	note	NOUN
bracis-19047	212	2	,	,	PUNCT
bracis-19047	212	3	this	this	DET
bracis-19047	212	4	study	study	NOUN
bracis-19047	212	5	intended	intend	VERB
bracis-19047	212	6	to	to	PART
bracis-19047	212	7	present	present	VERB
bracis-19047	212	8	our	our	PRON
bracis-19047	212	9	algorithm	algorithm	NOUN
bracis-19047	212	10	and	and	CCONJ
bracis-19047	212	11	validate	validate	VERB
bracis-19047	212	12	them	they	PRON
bracis-19047	212	13	from	from	ADP
bracis-19047	212	14	an	an	DET
bracis-19047	212	15	empirical	empirical	ADJ
bracis-19047	212	16	approach	approach	NOUN
bracis-19047	212	17	following	follow	VERB
bracis-19047	212	18	the	the	DET
bracis-19047	212	19	state	state	NOUN
bracis-19047	212	20	-	-	PUNCT
bracis-19047	212	21	of	of	ADP
bracis-19047	212	22	-	-	PUNCT
bracis-19047	212	23	the	the	DET
bracis-19047	212	24	-	-	PUNCT
bracis-19047	212	25	art	art	NOUN
bracis-19047	212	26	guidelines	guideline	NOUN
bracis-19047	212	27	[	[	X
bracis-19047	212	28	28	28	NUM
bracis-19047	212	29	]	]	PUNCT
bracis-19047	212	30	.	.	PUNCT
bracis-19047	213	1	we	we	PRON
bracis-19047	213	2	now	now	ADV
bracis-19047	213	3	intend	intend	VERB
bracis-19047	213	4	to	to	PART
bracis-19047	213	5	employ	employ	VERB
bracis-19047	213	6	the	the	DET
bracis-19047	213	7	clpb	clpb	NOUN
bracis-19047	213	8	in	in	ADP
bracis-19047	213	9	real	real	ADJ
bracis-19047	213	10	applications	application	NOUN
bracis-19047	213	11	,	,	PUNCT
bracis-19047	213	12	e.g.	e.g.	ADV
bracis-19047	213	13	,	,	PUNCT
bracis-19047	213	14	in	in	ADP
bracis-19047	213	15	future	future	ADJ
bracis-19047	213	16	work	work	NOUN
bracis-19047	213	17	,	,	PUNCT
bracis-19047	213	18	we	we	PRON
bracis-19047	213	19	plan	plan	VERB
bracis-19047	213	20	to	to	PART
bracis-19047	213	21	extend	extend	VERB
bracis-19047	213	22	the	the	DET
bracis-19047	213	23	clpb	clpb	NOUN
bracis-19047	213	24	to	to	PART
bracis-19047	213	25	dimension	dimension	NOUN
bracis-19047	213	26	reduction	reduction	NOUN
bracis-19047	213	27	and	and	CCONJ
bracis-19047	213	28	semi	semi	ADJ
bracis-19047	213	29	-	-	ADJ
bracis-19047	213	30	supervised	supervised	ADJ
bracis-19047	213	31	classification	classification	NOUN
bracis-19047	213	32	tasks	task	NOUN
bracis-19047	213	33	.	.	PUNCT
bracis-19047	214	1	another	another	DET
bracis-19047	214	2	issue	issue	NOUN
bracis-19047	214	3	that	that	PRON
bracis-19047	214	4	deserves	deserve	VERB
bracis-19047	214	5	further	further	ADJ
bracis-19047	214	6	attention	attention	NOUN
bracis-19047	214	7	is	be	AUX
bracis-19047	214	8	its	its	PRON
bracis-19047	214	9	application	application	NOUN
bracis-19047	214	10	to	to	ADP
bracis-19047	214	11	network	network	NOUN
bracis-19047	214	12	visualization	visualization	NOUN
bracis-19047	214	13	.	.	PUNCT
bracis-19047	215	1	notes	note	VERB
bracis-19047	215	2	1.the	1.the	DET
bracis-19047	215	3	highest	high	ADJ
bracis-19047	215	4	-	-	PUNCT
bracis-19047	215	5	degree	degree	NOUN
bracis-19047	215	6	nodes	node	NOUN
bracis-19047	215	7	are	be	AUX
bracis-19047	215	8	often	often	ADV
bracis-19047	215	9	called	call	VERB
bracis-19047	215	10	hubs	hub	NOUN
bracis-19047	215	11	.	.	PUNCT
bracis-19047	216	1	references	reference	NOUN
bracis-19047	216	2	barber	barber	PROPN
bracis-19047	216	3	,	,	PUNCT
bracis-19047	216	4	m.j	m.j	PROPN
bracis-19047	216	5	.	.	PROPN
bracis-19047	216	6	,	,	PUNCT
bracis-19047	216	7	clark	clark	PROPN
bracis-19047	216	8	,	,	PUNCT
bracis-19047	216	9	j.w	j.w	PROPN
bracis-19047	216	10	.	.	PROPN
bracis-19047	216	11	:	:	PUNCT
bracis-19047	217	1	detecting	detect	VERB
bracis-19047	217	2	network	network	NOUN
bracis-19047	217	3	communities	community	NOUN
bracis-19047	217	4	by	by	ADP
bracis-19047	217	5	propagating	propagate	VERB
bracis-19047	217	6	labels	label	NOUN
bracis-19047	217	7	under	under	ADP
bracis-19047	217	8	constraints	constraint	NOUN
bracis-19047	217	9	.	.	PUNCT
bracis-19047	218	1	phys	phy	NOUN
bracis-19047	218	2	.	.	PUNCT
bracis-19047	219	1	rev	rev	PROPN
bracis-19047	219	2	.	.	PUNCT
bracis-19047	220	1	e	e	PROPN
bracis-19047	220	2	80	80	NUM
bracis-19047	220	3	,	,	PUNCT
bracis-19047	220	4	026129	026129	NUM
bracis-19047	220	5	(	(	PUNCT
bracis-19047	220	6	2009	2009	NUM
bracis-19047	220	7	)	)	PUNCT
bracis-19047	220	8	google	google	PROPN
bracis-19047	220	9	scholar	scholar	NOUN
bracis-19047	220	10	  	  	SPACE
bracis-19047	220	11	beckett	beckett	PROPN
bracis-19047	220	12	,	,	PUNCT
bracis-19047	220	13	s.j	s.j	PROPN
bracis-19047	220	14	.	.	PROPN
bracis-19047	220	15	:	:	PUNCT
bracis-19047	220	16	improved	improve	VERB
bracis-19047	220	17	community	community	NOUN
bracis-19047	220	18	detection	detection	NOUN
bracis-19047	220	19	in	in	ADP
bracis-19047	220	20	weighted	weight	VERB
bracis-19047	220	21	bipartite	bipartite	PROPN
bracis-19047	220	22	networks	network	NOUN
bracis-19047	220	23	.	.	PUNCT
bracis-19047	221	1	r.	r.	PROPN
bracis-19047	221	2	soc	soc	PROPN
bracis-19047	221	3	.	.	PUNCT
bracis-19047	222	1	open	open	PROPN
bracis-19047	222	2	sci	sci	PROPN
bracis-19047	222	3	.	.	PUNCT
bracis-19047	222	4	3(1	3(1	NUM
bracis-19047	222	5	)	)	PUNCT
bracis-19047	222	6	,	,	PUNCT
bracis-19047	222	7	140536	140536	NUM
bracis-19047	222	8	(	(	PUNCT
bracis-19047	222	9	2016	2016	NUM
bracis-19047	222	10	)	)	PUNCT
bracis-19047	222	11	google	google	PROPN
bracis-19047	222	12	scholar	scholar	NOUN
bracis-19047	222	13	  	  	SPACE
bracis-19047	222	14	cintra	cintra	X
bracis-19047	222	15	,	,	PUNCT
bracis-19047	222	16	d.	d.	PROPN
bracis-19047	222	17	,	,	PUNCT
bracis-19047	222	18	valejo	valejo	PROPN
bracis-19047	222	19	,	,	PUNCT
bracis-19047	222	20	a.	a.	PROPN
bracis-19047	222	21	,	,	PUNCT
bracis-19047	222	22	lopes	lopes	PROPN
bracis-19047	222	23	,	,	PUNCT
bracis-19047	222	24	a.	a.	PROPN
bracis-19047	222	25	,	,	PUNCT
bracis-19047	222	26	oliveira	oliveira	PROPN
bracis-19047	222	27	,	,	PUNCT
bracis-19047	222	28	m.	m.	NOUN
bracis-19047	222	29	:	:	PUNCT
bracis-19047	222	30	visualization	visualization	NOUN
bracis-19047	222	31	to	to	PART
bracis-19047	222	32	assist	assist	VERB
bracis-19047	222	33	interpretation	interpretation	NOUN
bracis-19047	222	34	of	of	ADP
bracis-19047	222	35	the	the	DET
bracis-19047	222	36	multilevel	multilevel	ADJ
bracis-19047	222	37	paradigm	paradigm	NOUN
bracis-19047	222	38	in	in	ADP
bracis-19047	222	39	bipartite	bipartite	PROPN
bracis-19047	222	40	graphs	graph	NOUN
bracis-19047	222	41	.	.	PUNCT
bracis-19047	223	1	in	in	ADP
bracis-19047	223	2	:	:	PUNCT
bracis-19047	223	3	15th	15th	ADJ
bracis-19047	223	4	international	international	ADJ
bracis-19047	223	5	joint	joint	ADJ
bracis-19047	223	6	conference	conference	NOUN
bracis-19047	223	7	on	on	ADP
bracis-19047	223	8	computer	computer	NOUN
bracis-19047	223	9	vision	vision	NOUN
bracis-19047	223	10	,	,	PUNCT
bracis-19047	223	11	imaging	imaging	NOUN
bracis-19047	223	12	and	and	CCONJ
bracis-19047	223	13	computer	computer	NOUN
bracis-19047	223	14	graphics	graphic	NOUN
bracis-19047	223	15	theory	theory	NOUN
bracis-19047	223	16	and	and	CCONJ
bracis-19047	223	17	applications	application	NOUN
bracis-19047	223	18	,	,	PUNCT
bracis-19047	223	19	pp	pp	ADP
bracis-19047	223	20	.	.	PUNCT
bracis-19047	224	1	133–140	133–140	NUM
bracis-19047	224	2	(	(	PUNCT
bracis-19047	224	3	2019	2019	NUM
bracis-19047	224	4	)	)	PUNCT
bracis-19047	224	5	google	google	PROPN
bracis-19047	224	6	scholar	scholar	NOUN
bracis-19047	224	7	  	  	SPACE
bracis-19047	224	8	cordasco	cordasco	PROPN
bracis-19047	224	9	,	,	PUNCT
bracis-19047	224	10	g.	g.	PROPN
bracis-19047	224	11	,	,	PUNCT
bracis-19047	224	12	gargano	gargano	PROPN
bracis-19047	224	13	,	,	PUNCT
bracis-19047	224	14	l.	l.	PROPN
bracis-19047	224	15	:	:	PUNCT
bracis-19047	224	16	label	label	NOUN
bracis-19047	224	17	propagation	propagation	NOUN
bracis-19047	224	18	algorithm	algorithm	NOUN
bracis-19047	224	19	:	:	PUNCT
bracis-19047	224	20	a	a	DET
bracis-19047	224	21	semi	semi	ADJ
bracis-19047	224	22	-	-	ADJ
bracis-19047	224	23	synchronous	synchronous	ADJ
bracis-19047	224	24	approach	approach	NOUN
bracis-19047	224	25	.	.	PUNCT
bracis-19047	225	1	int	int	NOUN
bracis-19047	225	2	.	.	PUNCT
bracis-19047	226	1	j.	j.	PROPN
bracis-19047	226	2	soc	soc	PROPN
bracis-19047	226	3	.	.	PUNCT
bracis-19047	227	1	netw	netw	PROPN
bracis-19047	227	2	.	.	PUNCT
bracis-19047	228	1	min	min	PROPN
bracis-19047	228	2	.	.	PROPN
bracis-19047	228	3	1(1	1(1	NUM
bracis-19047	228	4	)	)	PUNCT
bracis-19047	228	5	,	,	PUNCT
bracis-19047	228	6	3–26	3–26	NUM
bracis-19047	228	7	(	(	PUNCT
bracis-19047	228	8	2012	2012	NUM
bracis-19047	228	9	)	)	PUNCT
bracis-19047	228	10	article	article	NOUN
bracis-19047	228	11	  	  	SPACE
bracis-19047	228	12	google	google	PROPN
bracis-19047	228	13	scholar	scholar	NOUN
bracis-19047	228	14	  	  	SPACE
bracis-19047	228	15	demšar	demšar	NOUN
bracis-19047	228	16	,	,	PUNCT
bracis-19047	228	17	j.	j.	PROPN
bracis-19047	228	18	:	:	PUNCT
bracis-19047	228	19	statistical	statistical	ADJ
bracis-19047	228	20	comparisons	comparison	NOUN
bracis-19047	228	21	of	of	ADP
bracis-19047	228	22	classifiers	classifier	NOUN
bracis-19047	228	23	over	over	ADP
bracis-19047	228	24	multiple	multiple	ADJ
bracis-19047	228	25	data	datum	NOUN
bracis-19047	228	26	sets	set	NOUN
bracis-19047	228	27	.	.	PUNCT
bracis-19047	229	1	j.	j.	PROPN
bracis-19047	229	2	mach	mach	PROPN
bracis-19047	229	3	.	.	PUNCT
bracis-19047	230	1	learn	learn	VERB
bracis-19047	230	2	.	.	PUNCT
bracis-19047	231	1	res	re	NOUN
bracis-19047	231	2	.	.	PROPN
bracis-19047	232	1	7	7	NUM
bracis-19047	232	2	,	,	PUNCT
bracis-19047	232	3	1–30	1–30	PROPN
bracis-19047	232	4	(	(	PUNCT
bracis-19047	232	5	2006	2006	NUM
bracis-19047	232	6	)	)	PUNCT
bracis-19047	232	7	mathscinet	mathscinet	NOUN
bracis-19047	232	8	  	  	SPACE
bracis-19047	232	9	math	math	NOUN
bracis-19047	232	10	  	  	SPACE
bracis-19047	232	11	google	google	PROPN
bracis-19047	232	12	scholar	scholar	NOUN
bracis-19047	232	13	  	  	SPACE
bracis-19047	232	14	dias	dias	PROPN
bracis-19047	232	15	,	,	PUNCT
bracis-19047	232	16	m.d	m.d	PROPN
bracis-19047	232	17	.	.	PROPN
bracis-19047	232	18	,	,	PUNCT
bracis-19047	232	19	mansour	mansour	PROPN
bracis-19047	232	20	,	,	PUNCT
bracis-19047	232	21	m.r	m.r	PROPN
bracis-19047	232	22	.	.	PROPN
bracis-19047	232	23	,	,	PUNCT
bracis-19047	232	24	dias	dias	PROPN
bracis-19047	232	25	,	,	PUNCT
bracis-19047	232	26	f.	f.	PROPN
bracis-19047	232	27	,	,	PUNCT
bracis-19047	232	28	petronetto	petronetto	PROPN
bracis-19047	232	29	,	,	PUNCT
bracis-19047	232	30	f.	f.	PROPN
bracis-19047	232	31	,	,	PUNCT
bracis-19047	232	32	silva	silva	PROPN
bracis-19047	232	33	,	,	PUNCT
bracis-19047	232	34	c.t	c.t	PROPN
bracis-19047	232	35	.	.	PROPN
bracis-19047	232	36	,	,	PUNCT
bracis-19047	232	37	nonato	nonato	PROPN
bracis-19047	232	38	,	,	PUNCT
bracis-19047	232	39	l.g	l.g	PROPN
bracis-19047	232	40	.	.	PROPN
bracis-19047	232	41	:	:	PUNCT
bracis-19047	233	1	a	a	DET
bracis-19047	233	2	hierarchical	hierarchical	ADJ
bracis-19047	233	3	network	network	NOUN
bracis-19047	233	4	simplification	simplification	NOUN
bracis-19047	233	5	via	via	ADP
bracis-19047	233	6	non	non	ADJ
bracis-19047	233	7	-	-	ADJ
bracis-19047	233	8	negative	negative	ADJ
bracis-19047	233	9	matrix	matrix	NOUN
bracis-19047	233	10	factorization	factorization	NOUN
bracis-19047	233	11	.	.	PUNCT
bracis-19047	234	1	in	in	ADP
bracis-19047	234	2	:	:	PUNCT
bracis-19047	234	3	proceedings	proceeding	NOUN
bracis-19047	234	4	of	of	ADP
bracis-19047	234	5	the	the	DET
bracis-19047	234	6	conference	conference	NOUN
bracis-19047	234	7	on	on	ADP
bracis-19047	234	8	graphics	graphic	NOUN
bracis-19047	234	9	,	,	PUNCT
bracis-19047	234	10	patterns	pattern	NOUN
bracis-19047	234	11	and	and	CCONJ
bracis-19047	234	12	images	image	NOUN
bracis-19047	234	13	(	(	PUNCT
bracis-19047	234	14	sibgrapi	sibgrapi	ADJ
bracis-19047	234	15	)	)	PUNCT
bracis-19047	234	16	,	,	PUNCT
bracis-19047	234	17	pp	pp	ADP
bracis-19047	234	18	.	.	PUNCT
bracis-19047	235	1	119–126	119–126	NUM
bracis-19047	235	2	(	(	PUNCT
bracis-19047	235	3	2017	2017	NUM
bracis-19047	235	4	)	)	PUNCT
bracis-19047	235	5	google	google	NOUN
bracis-19047	235	6	scholar	scholar	NOUN
bracis-19047	235	7	  	  	SPACE
bracis-19047	235	8	ding	ding	NOUN
bracis-19047	235	9	,	,	PUNCT
bracis-19047	235	10	c.	c.	PROPN
bracis-19047	235	11	,	,	PUNCT
bracis-19047	235	12	li	li	PROPN
bracis-19047	235	13	,	,	PUNCT
bracis-19047	235	14	t.	t.	PROPN
bracis-19047	235	15	,	,	PUNCT
bracis-19047	235	16	wang	wang	PROPN
bracis-19047	235	17	,	,	PUNCT
bracis-19047	235	18	d.	d.	PROPN
bracis-19047	235	19	:	:	PUNCT
bracis-19047	235	20	label	label	NOUN
bracis-19047	235	21	propagation	propagation	NOUN
bracis-19047	235	22	on	on	ADP
bracis-19047	235	23	k	k	ADJ
bracis-19047	235	24	-	-	ADJ
bracis-19047	235	25	partite	partite	ADJ
bracis-19047	235	26	graphs	graph	NOUN
bracis-19047	235	27	.	.	PUNCT
bracis-19047	236	1	in	in	ADP
bracis-19047	236	2	:	:	PUNCT
bracis-19047	236	3	2009	2009	NUM
bracis-19047	236	4	international	international	ADJ
bracis-19047	236	5	conference	conference	NOUN
bracis-19047	236	6	on	on	ADP
bracis-19047	236	7	machine	machine	NOUN
bracis-19047	236	8	learning	learning	NOUN
bracis-19047	236	9	and	and	CCONJ
bracis-19047	236	10	applications	application	NOUN
bracis-19047	236	11	,	,	PUNCT
bracis-19047	236	12	pp	pp	ADJ
bracis-19047	236	13	.	.	PUNCT
bracis-19047	237	1	273–278	273–278	NUM
bracis-19047	237	2	.	.	PUNCT
bracis-19047	238	1	ieee	ieee	NOUN
bracis-19047	238	2	(	(	PUNCT
bracis-19047	238	3	2009	2009	NUM
bracis-19047	238	4	)	)	PUNCT
bracis-19047	238	5	google	google	PROPN
bracis-19047	238	6	scholar	scholar	NOUN
bracis-19047	238	7	  	  	SPACE
bracis-19047	238	8	karypis	karypi	VERB
bracis-19047	238	9	,	,	PUNCT
bracis-19047	238	10	g.	g.	PROPN
bracis-19047	238	11	,	,	PUNCT
bracis-19047	238	12	kumar	kumar	PROPN
bracis-19047	238	13	,	,	PUNCT
bracis-19047	238	14	v.	v.	PROPN
bracis-19047	238	15	:	:	PUNCT
bracis-19047	238	16	metis	metis	NOUN
bracis-19047	238	17	unstructured	unstructured	ADJ
bracis-19047	238	18	graph	graph	NOUN
bracis-19047	238	19	partinioning	partinioning	NOUN
bracis-19047	238	20	and	and	CCONJ
bracis-19047	238	21	sparse	sparse	ADJ
bracis-19047	238	22	matrix	matrix	NOUN
bracis-19047	238	23	ordering	ordering	NOUN
bracis-19047	238	24	system	system	NOUN
bracis-19047	238	25	.	.	PUNCT
bracis-19047	239	1	technical	technical	ADJ
bracis-19047	239	2	report	report	PROPN
bracis-19047	239	3	,	,	PUNCT
bracis-19047	239	4	university	university	NOUN
bracis-19047	239	5	of	of	ADP
bracis-19047	239	6	minnesota	minnesota	PROPN
bracis-19047	239	7	,	,	PUNCT
bracis-19047	239	8	department	department	NOUN
bracis-19047	239	9	of	of	ADP
bracis-19047	239	10	computer	computer	NOUN
bracis-19047	239	11	science	science	NOUN
bracis-19047	239	12	(	(	PUNCT
bracis-19047	239	13	1995	1995	NUM
bracis-19047	239	14	)	)	PUNCT
bracis-19047	239	15	google	google	NOUN
bracis-19047	239	16	scholar	scholar	NOUN
bracis-19047	239	17	  	  	SPACE
bracis-19047	239	18	karypis	karypi	VERB
bracis-19047	239	19	,	,	PUNCT
bracis-19047	239	20	g.	g.	PROPN
bracis-19047	239	21	,	,	PUNCT
bracis-19047	239	22	kumar	kumar	PROPN
bracis-19047	239	23	,	,	PUNCT
bracis-19047	239	24	v.	v.	PROPN
bracis-19047	239	25	:	:	PUNCT
bracis-19047	239	26	a	a	DET
bracis-19047	239	27	fast	fast	ADJ
bracis-19047	239	28	and	and	CCONJ
bracis-19047	239	29	high	high	ADJ
bracis-19047	239	30	quality	quality	NOUN
bracis-19047	239	31	multilevel	multilevel	NOUN
bracis-19047	239	32	scheme	scheme	NOUN
bracis-19047	239	33	for	for	ADP
bracis-19047	239	34	partitioning	partition	VERB
bracis-19047	239	35	irregular	irregular	ADJ
bracis-19047	239	36	graphs	graph	NOUN
bracis-19047	239	37	.	.	PUNCT
bracis-19047	240	1	siam	siam	PROPN
bracis-19047	240	2	j.	j.	PROPN
bracis-19047	240	3	sci	sci	PROPN
bracis-19047	240	4	.	.	PUNCT
bracis-19047	241	1	comput	comput	PROPN
bracis-19047	241	2	.	.	PUNCT
bracis-19047	242	1	20(1	20(1	NUM
bracis-19047	242	2	)	)	PUNCT
bracis-19047	242	3	,	,	PUNCT
bracis-19047	242	4	359–392	359–392	NUM
bracis-19047	242	5	(	(	PUNCT
bracis-19047	242	6	1998	1998	NUM
bracis-19047	242	7	)	)	PUNCT
bracis-19047	242	8	article	article	NOUN
bracis-19047	242	9	  	  	SPACE
bracis-19047	242	10	mathscinet	mathscinet	NOUN
bracis-19047	242	11	  	  	SPACE
bracis-19047	242	12	google	google	PROPN
bracis-19047	242	13	scholar	scholar	NOUN
bracis-19047	242	14	  	  	SPACE
bracis-19047	242	15	kunegis	kunegis	PROPN
bracis-19047	242	16	,	,	PUNCT
bracis-19047	242	17	j.	j.	PROPN
bracis-19047	242	18	:	:	PUNCT
bracis-19047	242	19	konect	konect	PROPN
bracis-19047	242	20	:	:	PUNCT
bracis-19047	242	21	the	the	DET
bracis-19047	242	22	koblenz	koblenz	PROPN
bracis-19047	242	23	network	network	PROPN
bracis-19047	242	24	collection	collection	NOUN
bracis-19047	242	25	.	.	PUNCT
bracis-19047	243	1	in	in	ADP
bracis-19047	243	2	:	:	PUNCT
bracis-19047	243	3	proceedings	proceeding	NOUN
bracis-19047	243	4	of	of	ADP
bracis-19047	243	5	the	the	DET
bracis-19047	243	6	22nd	22nd	ADJ
bracis-19047	243	7	international	international	ADJ
bracis-19047	243	8	conference	conference	NOUN
bracis-19047	243	9	on	on	ADP
bracis-19047	243	10	world	world	NOUN
bracis-19047	243	11	wide	wide	ADJ
bracis-19047	243	12	web	web	NOUN
bracis-19047	243	13	,	,	PUNCT
bracis-19047	243	14	pp	pp	ADJ
bracis-19047	243	15	.	.	PUNCT
bracis-19047	244	1	1343–1350	1343–1350	NUM
bracis-19047	244	2	(	(	PUNCT
bracis-19047	244	3	2013	2013	NUM
bracis-19047	244	4	)	)	PUNCT
bracis-19047	244	5	google	google	PROPN
bracis-19047	244	6	scholar	scholar	NOUN
bracis-19047	244	7	  	  	SPACE
bracis-19047	244	8	liu	liu	PROPN
bracis-19047	244	9	,	,	PUNCT
bracis-19047	244	10	x.	x.	PROPN
bracis-19047	244	11	,	,	PUNCT
bracis-19047	244	12	murata	murata	PROPN
bracis-19047	244	13	,	,	PUNCT
bracis-19047	244	14	t.	t.	PROPN
bracis-19047	244	15	:	:	PUNCT
bracis-19047	244	16	how	how	SCONJ
bracis-19047	244	17	does	do	AUX
bracis-19047	244	18	label	label	NOUN
bracis-19047	244	19	propagation	propagation	NOUN
bracis-19047	244	20	algorithm	algorithm	NOUN
bracis-19047	244	21	work	work	NOUN
bracis-19047	244	22	in	in	ADP
bracis-19047	244	23	bipartite	bipartite	PROPN
bracis-19047	244	24	networks	network	NOUN
bracis-19047	244	25	?	?	PUNCT
bracis-19047	245	1	in	in	ADP
bracis-19047	245	2	:	:	PUNCT
bracis-19047	245	3	2009	2009	NUM
bracis-19047	245	4	ieee	ieee	NOUN
bracis-19047	245	5	/	/	SYM
bracis-19047	245	6	wic	wic	PROPN
bracis-19047	245	7	/	/	SYM
bracis-19047	245	8	acm	acm	PROPN
bracis-19047	245	9	international	international	ADJ
bracis-19047	245	10	joint	joint	ADJ
bracis-19047	245	11	conference	conference	NOUN
bracis-19047	245	12	on	on	ADP
bracis-19047	245	13	web	web	NOUN
bracis-19047	245	14	intelligence	intelligence	NOUN
bracis-19047	245	15	and	and	CCONJ
bracis-19047	245	16	intelligent	intelligent	ADJ
bracis-19047	245	17	agent	agent	NOUN
bracis-19047	245	18	technology	technology	NOUN
bracis-19047	245	19	,	,	PUNCT
bracis-19047	245	20	vol	vol	NOUN
bracis-19047	245	21	.	.	PROPN
bracis-19047	246	1	3	3	NUM
bracis-19047	246	2	,	,	PUNCT
bracis-19047	246	3	pp	pp	ADJ
bracis-19047	246	4	.	.	PUNCT
bracis-19047	247	1	5–8	5–8	X
bracis-19047	247	2	.	.	PUNCT
bracis-19047	247	3	ieee	ieee	PROPN
bracis-19047	247	4	(	(	PUNCT
bracis-19047	247	5	2009	2009	NUM
bracis-19047	247	6	)	)	PUNCT
bracis-19047	247	7	google	google	PROPN
bracis-19047	247	8	scholar	scholar	NOUN
bracis-19047	247	9	  	  	SPACE
bracis-19047	247	10	liu	liu	PROPN
bracis-19047	247	11	,	,	PUNCT
bracis-19047	247	12	x.	x.	PROPN
bracis-19047	247	13	,	,	PUNCT
bracis-19047	247	14	murata	murata	PROPN
bracis-19047	247	15	,	,	PUNCT
bracis-19047	247	16	t.	t.	PROPN
bracis-19047	247	17	:	:	PUNCT
bracis-19047	247	18	an	an	DET
bracis-19047	247	19	efficient	efficient	ADJ
bracis-19047	247	20	algorithm	algorithm	NOUN
bracis-19047	247	21	for	for	ADP
bracis-19047	247	22	optimizing	optimize	VERB
bracis-19047	247	23	bipartite	bipartite	NOUN
bracis-19047	247	24	modularity	modularity	NOUN
bracis-19047	247	25	in	in	ADP
bracis-19047	247	26	bipartite	bipartite	PROPN
bracis-19047	247	27	networks	network	NOUN
bracis-19047	247	28	.	.	PUNCT
bracis-19047	248	1	j.	j.	PROPN
bracis-19047	248	2	adv	adv	PROPN
bracis-19047	248	3	.	.	PUNCT
bracis-19047	249	1	comput	comput	PROPN
bracis-19047	249	2	.	.	PUNCT
bracis-19047	250	1	intell	intell	PROPN
bracis-19047	250	2	.	.	PUNCT
bracis-19047	251	1	intell	intell	PROPN
bracis-19047	251	2	.	.	PUNCT
bracis-19047	252	1	inform	inform	NOUN
bracis-19047	252	2	.	.	PUNCT
bracis-19047	253	1	14(4	14(4	NUM
bracis-19047	253	2	)	)	PUNCT
bracis-19047	253	3	,	,	PUNCT
bracis-19047	253	4	408–415	408–415	NUM
bracis-19047	253	5	(	(	PUNCT
bracis-19047	253	6	2010	2010	NUM
bracis-19047	253	7	)	)	PUNCT
bracis-19047	253	8	article	article	NOUN
bracis-19047	253	9	  	  	SPACE
bracis-19047	253	10	google	google	PROPN
bracis-19047	253	11	scholar	scholar	NOUN
bracis-19047	253	12	  	  	SPACE
bracis-19047	253	13	meilă	meilă	NOUN
bracis-19047	253	14	,	,	PUNCT
bracis-19047	253	15	m.	m.	NOUN
bracis-19047	253	16	:	:	PUNCT
bracis-19047	253	17	comparing	compare	VERB
bracis-19047	253	18	clusterings	clustering	NOUN
bracis-19047	253	19	—	—	PUNCT
bracis-19047	253	20	an	an	DET
bracis-19047	253	21	information	information	NOUN
bracis-19047	253	22	based	base	VERB
bracis-19047	253	23	distance	distance	NOUN
bracis-19047	253	24	.	.	PUNCT
bracis-19047	254	1	j.	j.	PROPN
bracis-19047	254	2	multivar	multivar	PROPN
bracis-19047	254	3	.	.	PUNCT
bracis-19047	255	1	anal	anal	ADJ
bracis-19047	255	2	.	.	PUNCT
bracis-19047	256	1	98(5	98(5	PROPN
bracis-19047	256	2	)	)	PUNCT
bracis-19047	256	3	,	,	PUNCT
bracis-19047	256	4	873–895	873–895	NUM
bracis-19047	256	5	(	(	PUNCT
bracis-19047	256	6	2007	2007	NUM
bracis-19047	256	7	)	)	PUNCT
bracis-19047	256	8	google	google	PROPN
bracis-19047	256	9	scholar	scholar	NOUN
bracis-19047	256	10	  	  	SPACE
bracis-19047	256	11	meyerhenke	meyerhenke	NOUN
bracis-19047	256	12	,	,	PUNCT
bracis-19047	256	13	h.	h.	PROPN
bracis-19047	256	14	,	,	PUNCT
bracis-19047	256	15	sanders	sanders	PROPN
bracis-19047	256	16	,	,	PUNCT
bracis-19047	256	17	p.	p.	PROPN
bracis-19047	256	18	,	,	PUNCT
bracis-19047	256	19	schulz	schulz	PROPN
bracis-19047	256	20	,	,	PUNCT
bracis-19047	256	21	c.	c.	NOUN
bracis-19047	256	22	:	:	PUNCT
bracis-19047	256	23	partitioning	partition	VERB
bracis-19047	256	24	complex	complex	ADJ
bracis-19047	256	25	networks	network	NOUN
bracis-19047	256	26	via	via	ADP
bracis-19047	256	27	size	size	NOUN
bracis-19047	256	28	-	-	PUNCT
bracis-19047	256	29	constrained	constrain	VERB
bracis-19047	256	30	clustering	clustering	NOUN
bracis-19047	256	31	.	.	PUNCT
bracis-19047	257	1	in	in	ADP
bracis-19047	257	2	:	:	PUNCT
bracis-19047	257	3	gudmundsson	gudmundsson	PROPN
bracis-19047	257	4	,	,	PUNCT
bracis-19047	257	5	j.	j.	PROPN
bracis-19047	257	6	,	,	PUNCT
bracis-19047	257	7	katajainen	katajainen	PROPN
bracis-19047	257	8	,	,	PUNCT
bracis-19047	257	9	j.	j.	PROPN
bracis-19047	257	10	(	(	PUNCT
bracis-19047	257	11	eds	eds	PROPN
bracis-19047	257	12	.	.	PUNCT
bracis-19047	257	13	)	)	PUNCT
bracis-19047	258	1	sea	sea	NOUN
bracis-19047	258	2	2014	2014	NUM
bracis-19047	258	3	.	.	PUNCT
bracis-19047	259	1	lncs	lncs	PROPN
bracis-19047	259	2	,	,	PUNCT
bracis-19047	259	3	vol	vol	NOUN
bracis-19047	259	4	.	.	PROPN
bracis-19047	259	5	8504	8504	NUM
bracis-19047	259	6	,	,	PUNCT
bracis-19047	259	7	pp	pp	ADJ
bracis-19047	259	8	.	.	PUNCT
bracis-19047	260	1	351–363	351–363	NUM
bracis-19047	260	2	.	.	X
bracis-19047	260	3	springer	springer	NOUN
bracis-19047	260	4	,	,	PUNCT
bracis-19047	260	5	cham	cham	PROPN
bracis-19047	260	6	(	(	PUNCT
bracis-19047	260	7	2014	2014	NUM
bracis-19047	260	8	)	)	PUNCT
bracis-19047	260	9	.	.	PUNCT
bracis-19047	261	1	https://doi.org/10.1007/978-3-319-07959-2_30	https://doi.org/10.1007/978-3-319-07959-2_30	PROPN
bracis-19047	261	2	chapter	chapter	NOUN
bracis-19047	261	3	  	  	SPACE
bracis-19047	261	4	google	google	PROPN
bracis-19047	261	5	scholar	scholar	NOUN
bracis-19047	261	6	  	  	SPACE
bracis-19047	261	7	minatel	minatel	NOUN
bracis-19047	261	8	,	,	PUNCT
bracis-19047	261	9	d.	d.	PROPN
bracis-19047	261	10	,	,	PUNCT
bracis-19047	261	11	valejo	valejo	PROPN
bracis-19047	261	12	,	,	PUNCT
bracis-19047	261	13	a.	a.	PROPN
bracis-19047	261	14	,	,	PUNCT
bracis-19047	261	15	lopes	lopes	PROPN
bracis-19047	261	16	,	,	PUNCT
bracis-19047	261	17	a.	a.	NOUN
bracis-19047	261	18	:	:	PUNCT
bracis-19047	261	19	trajectory	trajectory	NOUN
bracis-19047	261	20	network	network	NOUN
bracis-19047	261	21	assessment	assessment	NOUN
bracis-19047	261	22	based	base	VERB
bracis-19047	261	23	on	on	ADP
bracis-19047	261	24	analysis	analysis	NOUN
bracis-19047	261	25	of	of	ADP
bracis-19047	261	26	stay	stay	ADJ
bracis-19047	261	27	points	point	NOUN
bracis-19047	261	28	cluster	cluster	NOUN
bracis-19047	261	29	.	.	PUNCT
bracis-19047	262	1	in	in	ADP
bracis-19047	262	2	:	:	PUNCT
bracis-19047	262	3	brazilian	brazilian	ADJ
bracis-19047	262	4	conference	conference	NOUN
bracis-19047	262	5	on	on	ADP
bracis-19047	262	6	intelligent	intelligent	ADJ
bracis-19047	262	7	systems	system	NOUN
bracis-19047	262	8	(	(	PUNCT
bracis-19047	262	9	bracis	bracis	NOUN
bracis-19047	262	10	)	)	PUNCT
bracis-19047	262	11	,	,	PUNCT
bracis-19047	262	12	pp	pp	ADP
bracis-19047	262	13	.	.	PUNCT
bracis-19047	263	1	564–569	564–569	NUM
bracis-19047	263	2	(	(	PUNCT
bracis-19047	263	3	2018	2018	NUM
bracis-19047	263	4	)	)	PUNCT
bracis-19047	263	5	google	google	PROPN
bracis-19047	263	6	scholar	scholar	NOUN
bracis-19047	263	7	  	  	SPACE
bracis-19047	263	8	murata	murata	PROPN
bracis-19047	263	9	,	,	PUNCT
bracis-19047	263	10	t.	t.	PROPN
bracis-19047	263	11	:	:	PUNCT
bracis-19047	263	12	modularities	modularitie	NOUN
bracis-19047	263	13	for	for	ADP
bracis-19047	263	14	bipartite	bipartite	PROPN
bracis-19047	263	15	networks	network	NOUN
bracis-19047	263	16	.	.	PUNCT
bracis-19047	264	1	in	in	ADP
bracis-19047	264	2	:	:	PUNCT
bracis-19047	264	3	proceedings	proceeding	NOUN
bracis-19047	264	4	of	of	ADP
bracis-19047	264	5	the	the	DET
bracis-19047	264	6	20th	20th	ADJ
bracis-19047	264	7	acm	acm	NOUN
bracis-19047	264	8	conference	conference	NOUN
bracis-19047	264	9	on	on	ADP
bracis-19047	264	10	hypertext	hypertext	NOUN
bracis-19047	264	11	and	and	CCONJ
bracis-19047	264	12	hypermedia	hypermedia	NOUN
bracis-19047	264	13	,	,	PUNCT
bracis-19047	264	14	pp	pp	ADV
bracis-19047	264	15	.	.	PUNCT
bracis-19047	265	1	245–250	245–250	NUM
bracis-19047	265	2	(	(	PUNCT
bracis-19047	265	3	2009	2009	NUM
bracis-19047	265	4	)	)	PUNCT
bracis-19047	265	5	google	google	PROPN
bracis-19047	265	6	scholar	scholar	NOUN
bracis-19047	265	7	  	  	SPACE
bracis-19047	265	8	newman	newman	PROPN
bracis-19047	265	9	,	,	PUNCT
bracis-19047	265	10	m.e.j	m.e.j	NOUN
bracis-19047	265	11	.	.	PUNCT
bracis-19047	265	12	:	:	PUNCT
bracis-19047	266	1	scientific	scientific	ADJ
bracis-19047	266	2	collaboration	collaboration	NOUN
bracis-19047	266	3	networks	network	NOUN
bracis-19047	266	4	.	.	PUNCT
bracis-19047	267	1	ii	ii	PROPN
bracis-19047	267	2	.	.	PUNCT
bracis-19047	267	3	shortest	short	ADJ
bracis-19047	267	4	paths	path	NOUN
bracis-19047	267	5	,	,	PUNCT
bracis-19047	267	6	weighted	weight	VERB
bracis-19047	267	7	networks	network	NOUN
bracis-19047	267	8	,	,	PUNCT
bracis-19047	267	9	and	and	CCONJ
bracis-19047	267	10	centrality	centrality	NOUN
bracis-19047	267	11	.	.	PUNCT
bracis-19047	268	1	phys	phy	NOUN
bracis-19047	268	2	.	.	PUNCT
bracis-19047	269	1	rev	rev	PROPN
bracis-19047	269	2	.	.	PUNCT
bracis-19047	270	1	e	e	PROPN
bracis-19047	270	2	stat	stat	PROPN
bracis-19047	270	3	.	.	PUNCT
bracis-19047	271	1	nonlinear	nonlinear	ADJ
bracis-19047	271	2	soft	soft	ADJ
bracis-19047	271	3	matter	matter	NOUN
bracis-19047	271	4	phys	phy	NOUN
bracis-19047	271	5	.	.	PUNCT
bracis-19047	272	1	64(1	64(1	NUM
bracis-19047	272	2	)	)	PUNCT
bracis-19047	272	3	,	,	PUNCT
bracis-19047	272	4	016132	016132	NUM
bracis-19047	272	5	(	(	PUNCT
bracis-19047	272	6	2001	2001	NUM
bracis-19047	272	7	)	)	PUNCT
bracis-19047	272	8	google	google	PROPN
bracis-19047	272	9	scholar	scholar	NOUN
bracis-19047	272	10	  	  	SPACE
bracis-19047	272	11	noack	noack	NOUN
bracis-19047	272	12	,	,	PUNCT
bracis-19047	272	13	a.	a.	NOUN
bracis-19047	272	14	,	,	PUNCT
bracis-19047	272	15	rotta	rotta	PROPN
bracis-19047	272	16	,	,	PUNCT
bracis-19047	272	17	r.	r.	PROPN
bracis-19047	272	18	:	:	PUNCT
bracis-19047	272	19	multi	multi	ADJ
bracis-19047	272	20	-	-	ADJ
bracis-19047	272	21	level	level	ADJ
bracis-19047	272	22	algorithms	algorithm	NOUN
bracis-19047	272	23	for	for	ADP
bracis-19047	272	24	modularity	modularity	NOUN
bracis-19047	272	25	clustering	clustering	NOUN
bracis-19047	272	26	.	.	PUNCT
bracis-19047	273	1	in	in	ADP
bracis-19047	273	2	:	:	PUNCT
bracis-19047	273	3	vahrenhold	vahrenhold	ADJ
bracis-19047	273	4	,	,	PUNCT
bracis-19047	273	5	j.	j.	PROPN
bracis-19047	273	6	(	(	PUNCT
bracis-19047	273	7	ed	ed	NOUN
bracis-19047	273	8	.	.	PUNCT
bracis-19047	273	9	)	)	PUNCT
bracis-19047	274	1	sea	sea	NOUN
bracis-19047	274	2	2009	2009	NUM
bracis-19047	274	3	.	.	PUNCT
bracis-19047	275	1	lncs	lncs	PROPN
bracis-19047	275	2	,	,	PUNCT
bracis-19047	275	3	vol	vol	NOUN
bracis-19047	275	4	.	.	PROPN
bracis-19047	275	5	5526	5526	NUM
bracis-19047	275	6	,	,	PUNCT
bracis-19047	275	7	pp	pp	ADP
bracis-19047	275	8	.	.	PUNCT
bracis-19047	276	1	257–268	257–268	NUM
bracis-19047	276	2	.	.	PUNCT
bracis-19047	276	3	springer	springer	NOUN
bracis-19047	276	4	,	,	PUNCT
bracis-19047	276	5	heidelberg	heidelberg	PROPN
bracis-19047	276	6	(	(	PUNCT
bracis-19047	276	7	2009	2009	NUM
bracis-19047	276	8	)	)	PUNCT
bracis-19047	276	9	.	.	PUNCT
bracis-19047	277	1	https://doi.org/10.1007/978-3-642-02011-7_24	https://doi.org/10.1007/978-3-642-02011-7_24	PROPN
bracis-19047	277	2	chapter	chapter	NOUN
bracis-19047	277	3	  	  	SPACE
bracis-19047	277	4	google	google	PROPN
bracis-19047	277	5	scholar	scholar	NOUN
bracis-19047	277	6	  	  	SPACE
bracis-19047	277	7	de	de	X
bracis-19047	277	8	paulo	paulo	PROPN
bracis-19047	277	9	faleiros	faleiros	PROPN
bracis-19047	277	10	,	,	PUNCT
bracis-19047	277	11	t.	t.	PROPN
bracis-19047	277	12	,	,	PUNCT
bracis-19047	277	13	valejo	valejo	PROPN
bracis-19047	277	14	,	,	PUNCT
bracis-19047	277	15	a.	a.	NOUN
bracis-19047	277	16	,	,	PUNCT
bracis-19047	277	17	de	de	PROPN
bracis-19047	277	18	andrade	andrade	PROPN
bracis-19047	277	19	lopes	lopes	PROPN
bracis-19047	277	20	,	,	PUNCT
bracis-19047	277	21	a.	a.	NOUN
bracis-19047	277	22	:	:	PUNCT
bracis-19047	277	23	unsupervised	unsupervised	ADJ
bracis-19047	277	24	learning	learning	NOUN
bracis-19047	277	25	of	of	ADP
bracis-19047	277	26	textual	textual	ADJ
bracis-19047	277	27	pattern	pattern	NOUN
bracis-19047	277	28	based	base	VERB
bracis-19047	277	29	on	on	ADP
bracis-19047	277	30	propagation	propagation	NOUN
bracis-19047	277	31	in	in	ADP
bracis-19047	277	32	bipartite	bipartite	NOUN
bracis-19047	277	33	graph	graph	NOUN
bracis-19047	277	34	.	.	PUNCT
bracis-19047	278	1	intell	intell	PROPN
bracis-19047	278	2	.	.	PUNCT
bracis-19047	279	1	data	data	PROPN
bracis-19047	279	2	anal	anal	PROPN
bracis-19047	279	3	.	.	PUNCT
bracis-19047	280	1	24(3	24(3	NUM
bracis-19047	280	2	)	)	PUNCT
bracis-19047	280	3	,	,	PUNCT
bracis-19047	280	4	543–565	543–565	NUM
bracis-19047	280	5	(	(	PUNCT
bracis-19047	280	6	2020	2020	NUM
bracis-19047	280	7	)	)	PUNCT
bracis-19047	280	8	article	article	NOUN
bracis-19047	280	9	  	  	SPACE
bracis-19047	280	10	google	google	PROPN
bracis-19047	280	11	scholar	scholar	NOUN
bracis-19047	280	12	  	  	SPACE
bracis-19047	280	13	raghavan	raghavan	PROPN
bracis-19047	280	14	,	,	PUNCT
bracis-19047	280	15	n.	n.	PROPN
bracis-19047	280	16	,	,	PUNCT
bracis-19047	280	17	albert	albert	PROPN
bracis-19047	280	18	,	,	PUNCT
bracis-19047	280	19	r.	r.	PROPN
bracis-19047	280	20	,	,	PUNCT
bracis-19047	280	21	kumara	kumara	PROPN
bracis-19047	280	22	,	,	PUNCT
bracis-19047	280	23	s.	s.	PROPN
bracis-19047	280	24	:	:	PUNCT
bracis-19047	280	25	near	near	ADP
bracis-19047	280	26	linear	linear	ADJ
bracis-19047	280	27	time	time	NOUN
bracis-19047	280	28	algorithm	algorithm	NOUN
bracis-19047	280	29	to	to	PART
bracis-19047	280	30	detect	detect	VERB
bracis-19047	280	31	community	community	NOUN
bracis-19047	280	32	structures	structure	NOUN
bracis-19047	280	33	in	in	ADP
bracis-19047	280	34	large	large	ADJ
bracis-19047	280	35	-	-	PUNCT
bracis-19047	280	36	scale	scale	NOUN
bracis-19047	280	37	networks	network	NOUN
bracis-19047	280	38	.	.	PUNCT
bracis-19047	281	1	phys	phy	NOUN
bracis-19047	281	2	.	.	PUNCT
bracis-19047	282	1	rev	rev	PROPN
bracis-19047	282	2	.	.	PUNCT
bracis-19047	283	1	e	e	PROPN
bracis-19047	283	2	stat	stat	PROPN
bracis-19047	283	3	.	.	PUNCT
bracis-19047	284	1	nonlinear	nonlinear	ADJ
bracis-19047	284	2	soft	soft	ADJ
bracis-19047	284	3	matter	matter	NOUN
bracis-19047	284	4	phys	phy	NOUN
bracis-19047	284	5	.	.	PUNCT
bracis-19047	285	1	76	76	NUM
bracis-19047	285	2	,	,	PUNCT
bracis-19047	285	3	036106	036106	NUM
bracis-19047	285	4	(	(	PUNCT
bracis-19047	285	5	2007	2007	NUM
bracis-19047	285	6	)	)	PUNCT
bracis-19047	285	7	google	google	PROPN
bracis-19047	285	8	scholar	scholar	NOUN
bracis-19047	285	9	  	  	SPACE
bracis-19047	285	10	sakellaridi	sakellaridi	NOUN
bracis-19047	285	11	,	,	PUNCT
bracis-19047	285	12	s.	s.	PROPN
bracis-19047	285	13	,	,	PUNCT
bracis-19047	285	14	fang	fang	PROPN
bracis-19047	285	15	,	,	PUNCT
bracis-19047	285	16	h.r	h.r	PROPN
bracis-19047	285	17	.	.	PROPN
bracis-19047	285	18	,	,	PUNCT
bracis-19047	285	19	saad	saad	PROPN
bracis-19047	285	20	,	,	PUNCT
bracis-19047	285	21	y.	y.	NOUN
bracis-19047	285	22	:	:	PUNCT
bracis-19047	285	23	graph	graph	NOUN
bracis-19047	285	24	-	-	PUNCT
bracis-19047	285	25	based	base	VERB
bracis-19047	285	26	multilevel	multilevel	ADJ
bracis-19047	285	27	dimensionality	dimensionality	NOUN
bracis-19047	285	28	reduction	reduction	NOUN
bracis-19047	285	29	with	with	ADP
bracis-19047	285	30	applications	application	NOUN
bracis-19047	285	31	to	to	ADP
bracis-19047	285	32	eigenfaces	eigenface	NOUN
bracis-19047	285	33	and	and	CCONJ
bracis-19047	285	34	latent	latent	ADJ
bracis-19047	285	35	semantic	semantic	ADJ
bracis-19047	285	36	indexing	indexing	NOUN
bracis-19047	285	37	.	.	PUNCT
bracis-19047	286	1	in	in	ADP
bracis-19047	286	2	:	:	PUNCT
bracis-19047	286	3	proceedings	proceeding	NOUN
bracis-19047	286	4	of	of	ADP
bracis-19047	286	5	the	the	DET
bracis-19047	286	6	international	international	ADJ
bracis-19047	286	7	conference	conference	NOUN
bracis-19047	286	8	on	on	ADP
bracis-19047	286	9	machine	machine	NOUN
bracis-19047	286	10	learning	learning	NOUN
bracis-19047	286	11	and	and	CCONJ
bracis-19047	286	12	applications	application	NOUN
bracis-19047	286	13	(	(	PUNCT
bracis-19047	286	14	icmla	icmla	NOUN
bracis-19047	286	15	)	)	PUNCT
bracis-19047	286	16	,	,	PUNCT
bracis-19047	286	17	pp	pp	ADP
bracis-19047	286	18	.	.	PUNCT
bracis-19047	287	1	194–200	194–200	NUM
bracis-19047	287	2	(	(	PUNCT
bracis-19047	287	3	2008	2008	NUM
bracis-19047	287	4	)	)	PUNCT
bracis-19047	287	5	google	google	PROPN
bracis-19047	287	6	scholar	scholar	NOUN
bracis-19047	287	7	  	  	SPACE
bracis-19047	287	8	valejo	valejo	PROPN
bracis-19047	287	9	,	,	PUNCT
bracis-19047	287	10	a.	a.	PROPN
bracis-19047	287	11	,	,	PUNCT
bracis-19047	287	12	ferreira	ferreira	PROPN
bracis-19047	287	13	,	,	PUNCT
bracis-19047	287	14	v.	v.	PROPN
bracis-19047	287	15	,	,	PUNCT
bracis-19047	287	16	de	de	PROPN
bracis-19047	287	17	oliveira	oliveira	PROPN
bracis-19047	287	18	,	,	PUNCT
bracis-19047	287	19	m.c.f	m.c.f	PROPN
bracis-19047	287	20	.	.	PROPN
bracis-19047	287	21	,	,	PUNCT
bracis-19047	287	22	de	de	PROPN
bracis-19047	287	23	andrade	andrade	PROPN
bracis-19047	287	24	lopes	lopes	PROPN
bracis-19047	287	25	,	,	PUNCT
bracis-19047	287	26	a.	a.	NOUN
bracis-19047	287	27	:	:	PUNCT
bracis-19047	287	28	community	community	NOUN
bracis-19047	287	29	detection	detection	NOUN
bracis-19047	287	30	in	in	ADP
bracis-19047	287	31	bipartite	bipartite	ADJ
bracis-19047	287	32	network	network	NOUN
bracis-19047	287	33	:	:	PUNCT
bracis-19047	287	34	a	a	DET
bracis-19047	287	35	modified	modify	VERB
bracis-19047	287	36	coarsening	coarsening	NOUN
bracis-19047	287	37	approach	approach	NOUN
bracis-19047	287	38	.	.	PUNCT
bracis-19047	288	1	in	in	ADP
bracis-19047	288	2	:	:	PUNCT
bracis-19047	288	3	lossio	lossio	PROPN
bracis-19047	288	4	-	-	PUNCT
bracis-19047	288	5	ventura	ventura	NOUN
bracis-19047	288	6	,	,	PUNCT
bracis-19047	288	7	j.a	j.a	PROPN
bracis-19047	288	8	.	.	PROPN
bracis-19047	288	9	,	,	PUNCT
bracis-19047	288	10	alatrista	alatrista	PROPN
bracis-19047	288	11	-	-	PUNCT
bracis-19047	288	12	salas	salas	PROPN
bracis-19047	288	13	,	,	PUNCT
bracis-19047	288	14	h.	h.	PROPN
bracis-19047	288	15	(	(	PUNCT
bracis-19047	288	16	eds	eds	PROPN
bracis-19047	288	17	.	.	PUNCT
bracis-19047	288	18	)	)	PUNCT
bracis-19047	288	19	simbig	simbig	PROPN
bracis-19047	288	20	2017	2017	NUM
bracis-19047	288	21	.	.	PUNCT
bracis-19047	289	1	ccis	ccis	PROPN
bracis-19047	289	2	,	,	PUNCT
bracis-19047	289	3	vol	vol	NOUN
bracis-19047	289	4	.	.	PROPN
bracis-19047	289	5	795	795	NUM
bracis-19047	289	6	,	,	PUNCT
bracis-19047	289	7	pp	pp	ADJ
bracis-19047	289	8	.	.	PUNCT
bracis-19047	290	1	123–136	123–136	NUM
bracis-19047	290	2	.	.	PUNCT
bracis-19047	290	3	springer	springer	NOUN
bracis-19047	290	4	,	,	PUNCT
bracis-19047	290	5	cham	cham	PROPN
bracis-19047	290	6	(	(	PUNCT
bracis-19047	290	7	2018	2018	NUM
bracis-19047	290	8	)	)	PUNCT
bracis-19047	290	9	.	.	PUNCT
bracis-19047	291	1	https://doi.org/10.1007/978-3-319-90596-9_9	https://doi.org/10.1007/978-3-319-90596-9_9	PUNCT
bracis-19047	291	2	chapter	chapter	NOUN
bracis-19047	291	3	  	  	SPACE
bracis-19047	291	4	google	google	PROPN
bracis-19047	291	5	scholar	scholar	NOUN
bracis-19047	291	6	  	  	SPACE
bracis-19047	291	7	valejo	valejo	PROPN
bracis-19047	291	8	,	,	PUNCT
bracis-19047	291	9	a.	a.	PROPN
bracis-19047	291	10	,	,	PUNCT
bracis-19047	291	11	lopes	lopes	PROPN
bracis-19047	291	12	,	,	PUNCT
bracis-19047	291	13	a.	a.	NOUN
bracis-19047	291	14	,	,	PUNCT
bracis-19047	291	15	filho	filho	NOUN
bracis-19047	291	16	,	,	PUNCT
bracis-19047	291	17	g.	g.	PROPN
bracis-19047	291	18	,	,	PUNCT
bracis-19047	291	19	oliveira	oliveira	PROPN
bracis-19047	291	20	,	,	PUNCT
bracis-19047	291	21	m.	m.	NOUN
bracis-19047	291	22	,	,	PUNCT
bracis-19047	291	23	ferreira	ferreira	PROPN
bracis-19047	291	24	,	,	PUNCT
bracis-19047	291	25	v.	v.	ADP
bracis-19047	291	26	:	:	PUNCT
bracis-19047	291	27	one	one	NUM
bracis-19047	291	28	-	-	PUNCT
bracis-19047	291	29	mode	mode	NOUN
bracis-19047	291	30	projection	projection	NOUN
bracis-19047	291	31	-	-	PUNCT
bracis-19047	291	32	based	base	VERB
bracis-19047	291	33	multilevel	multilevel	NOUN
bracis-19047	291	34	approach	approach	NOUN
bracis-19047	291	35	for	for	ADP
bracis-19047	291	36	community	community	NOUN
bracis-19047	291	37	detection	detection	NOUN
bracis-19047	291	38	in	in	ADP
bracis-19047	291	39	bipartite	bipartite	PROPN
bracis-19047	291	40	networks	network	NOUN
bracis-19047	291	41	.	.	PUNCT
bracis-19047	292	1	in	in	ADP
bracis-19047	292	2	:	:	PUNCT
bracis-19047	292	3	international	international	ADJ
bracis-19047	292	4	symposium	symposium	NOUN
bracis-19047	292	5	on	on	ADP
bracis-19047	292	6	information	information	NOUN
bracis-19047	292	7	management	management	NOUN
bracis-19047	292	8	and	and	CCONJ
bracis-19047	292	9	big	big	ADJ
bracis-19047	292	10	data	datum	NOUN
bracis-19047	292	11	(	(	PUNCT
bracis-19047	292	12	simbig	simbig	PROPN
bracis-19047	292	13	)	)	PUNCT
bracis-19047	292	14	,	,	PUNCT
bracis-19047	292	15	track	track	NOUN
bracis-19047	292	16	on	on	ADP
bracis-19047	292	17	social	social	ADJ
bracis-19047	292	18	network	network	NOUN
bracis-19047	292	19	and	and	CCONJ
bracis-19047	292	20	media	medium	NOUN
bracis-19047	292	21	analysis	analysis	NOUN
bracis-19047	292	22	and	and	CCONJ
bracis-19047	292	23	mining	mining	NOUN
bracis-19047	292	24	(	(	PUNCT
bracis-19047	292	25	snman	snman	PROPN
bracis-19047	292	26	)	)	PUNCT
bracis-19047	292	27	,	,	PUNCT
bracis-19047	292	28	pp	pp	ADP
bracis-19047	292	29	.	.	PUNCT
bracis-19047	293	1	101–108	101–108	NUM
bracis-19047	293	2	(	(	PUNCT
bracis-19047	293	3	2017	2017	NUM
bracis-19047	293	4	)	)	PUNCT
bracis-19047	293	5	google	google	PROPN
bracis-19047	293	6	scholar	scholar	NOUN
bracis-19047	293	7	  	  	SPACE
bracis-19047	293	8	valejo	valejo	PROPN
bracis-19047	293	9	,	,	PUNCT
bracis-19047	293	10	a.	a.	NOUN
bracis-19047	293	11	,	,	PUNCT
bracis-19047	293	12	faleiros	faleiros	PROPN
bracis-19047	293	13	,	,	PUNCT
bracis-19047	293	14	t.p	t.p	PROPN
bracis-19047	293	15	.	.	PROPN
bracis-19047	293	16	,	,	PUNCT
bracis-19047	293	17	oliveira	oliveira	PROPN
bracis-19047	293	18	,	,	PUNCT
bracis-19047	293	19	m.c.r.f	m.c.r.f	PROPN
bracis-19047	293	20	.	.	PROPN
bracis-19047	293	21	,	,	PUNCT
bracis-19047	293	22	lopes	lopes	PROPN
bracis-19047	293	23	,	,	PUNCT
bracis-19047	293	24	a.	a.	NOUN
bracis-19047	293	25	:	:	PUNCT
bracis-19047	293	26	a	a	DET
bracis-19047	293	27	coarsening	coarsening	NOUN
bracis-19047	293	28	method	method	NOUN
bracis-19047	293	29	for	for	ADP
bracis-19047	293	30	bipartite	bipartite	PROPN
bracis-19047	293	31	networks	network	NOUN
bracis-19047	293	32	via	via	ADP
bracis-19047	293	33	weight	weight	NOUN
bracis-19047	293	34	-	-	PUNCT
bracis-19047	293	35	constrained	constrain	VERB
bracis-19047	293	36	label	label	NOUN
bracis-19047	293	37	propagation	propagation	NOUN
bracis-19047	293	38	.	.	PUNCT
bracis-19047	294	1	knowl	knowl	PROPN
bracis-19047	294	2	.	.	PUNCT
bracis-19047	295	1	based	base	VERB
bracis-19047	295	2	syst	syst	PROPN
bracis-19047	295	3	.	.	PUNCT
bracis-19047	295	4	195	195	NUM
bracis-19047	295	5	,	,	PUNCT
bracis-19047	295	6	105678	105678	NUM
bracis-19047	295	7	(	(	PUNCT
bracis-19047	295	8	2020	2020	NUM
bracis-19047	295	9	)	)	PUNCT
bracis-19047	295	10	google	google	PROPN
bracis-19047	295	11	scholar	scholar	NOUN
bracis-19047	295	12	  	  	SPACE
bracis-19047	295	13	valejo	valejo	PROPN
bracis-19047	295	14	,	,	PUNCT
bracis-19047	295	15	a.	a.	PROPN
bracis-19047	295	16	,	,	PUNCT
bracis-19047	295	17	ferreira	ferreira	PROPN
bracis-19047	295	18	,	,	PUNCT
bracis-19047	295	19	v.	v.	PROPN
bracis-19047	295	20	,	,	PUNCT
bracis-19047	295	21	fabbri	fabbri	NOUN
bracis-19047	295	22	,	,	PUNCT
bracis-19047	295	23	r.	r.	PROPN
bracis-19047	295	24	,	,	PUNCT
bracis-19047	295	25	oliveira	oliveira	PROPN
bracis-19047	295	26	,	,	PUNCT
bracis-19047	295	27	m.c.r.f	m.c.r.f	PROPN
bracis-19047	295	28	.	.	PROPN
bracis-19047	295	29	,	,	PUNCT
bracis-19047	295	30	lopes	lopes	PROPN
bracis-19047	295	31	,	,	PUNCT
bracis-19047	295	32	a.	a.	NOUN
bracis-19047	295	33	:	:	PUNCT
bracis-19047	295	34	a	a	DET
bracis-19047	295	35	critical	critical	ADJ
bracis-19047	295	36	survey	survey	NOUN
bracis-19047	295	37	of	of	ADP
bracis-19047	295	38	the	the	DET
bracis-19047	295	39	multilevel	multilevel	ADJ
bracis-19047	295	40	method	method	NOUN
bracis-19047	295	41	in	in	ADP
bracis-19047	295	42	complex	complex	ADJ
bracis-19047	295	43	networks	network	NOUN
bracis-19047	295	44	.	.	PUNCT
bracis-19047	296	1	acm	acm	PROPN
bracis-19047	296	2	comput	comput	NOUN
bracis-19047	296	3	.	.	PUNCT
bracis-19047	297	1	surv	surv	NOUN
bracis-19047	297	2	.	.	PUNCT
bracis-19047	298	1	53(2	53(2	NUM
bracis-19047	298	2	)	)	PUNCT
bracis-19047	298	3	,	,	PUNCT
bracis-19047	298	4	35	35	NUM
bracis-19047	298	5	(	(	PUNCT
bracis-19047	298	6	2020	2020	NUM
bracis-19047	298	7	)	)	PUNCT
bracis-19047	298	8	article	article	NOUN
bracis-19047	298	9	  	  	SPACE
bracis-19047	298	10	google	google	PROPN
bracis-19047	298	11	scholar	scholar	NOUN
bracis-19047	298	12	  	  	SPACE
bracis-19047	298	13	valejo	valejo	PROPN
bracis-19047	298	14	,	,	PUNCT
bracis-19047	298	15	a.	a.	NOUN
bracis-19047	298	16	,	,	PUNCT
bracis-19047	298	17	goes	go	VERB
bracis-19047	298	18	,	,	PUNCT
bracis-19047	298	19	f.	f.	PROPN
bracis-19047	298	20	,	,	PUNCT
bracis-19047	298	21	romanetto	romanetto	PROPN
bracis-19047	298	22	,	,	PUNCT
bracis-19047	298	23	l.m	l.m	PROPN
bracis-19047	298	24	.	.	PROPN
bracis-19047	298	25	,	,	PUNCT
bracis-19047	298	26	oliveira	oliveira	PROPN
bracis-19047	298	27	,	,	PUNCT
bracis-19047	298	28	m.c.f	m.c.f	PROPN
bracis-19047	298	29	.	.	PROPN
bracis-19047	298	30	,	,	PUNCT
bracis-19047	298	31	lopes	lopes	PROPN
bracis-19047	298	32	,	,	PUNCT
bracis-19047	298	33	a.a	a.a	PROPN
bracis-19047	298	34	.	.	PROPN
bracis-19047	298	35	:	:	PUNCT
bracis-19047	298	36	a	a	DET
bracis-19047	298	37	benchmarking	benchmarke	VERB
bracis-19047	298	38	tool	tool	NOUN
bracis-19047	298	39	for	for	ADP
bracis-19047	298	40	the	the	DET
bracis-19047	298	41	generation	generation	NOUN
bracis-19047	298	42	of	of	ADP
bracis-19047	298	43	bipartite	bipartite	NOUN
bracis-19047	298	44	network	network	NOUN
bracis-19047	298	45	models	model	NOUN
bracis-19047	298	46	with	with	ADP
bracis-19047	298	47	overlapping	overlap	VERB
bracis-19047	298	48	communities	community	NOUN
bracis-19047	298	49	.	.	PUNCT
bracis-19047	299	1	knowl	knowl	PROPN
bracis-19047	299	2	.	.	PUNCT
bracis-19047	300	1	inf	inf	PROPN
bracis-19047	300	2	.	.	PUNCT
bracis-19047	300	3	syst	syst	PROPN
bracis-19047	300	4	.	.	PUNCT
bracis-19047	301	1	62	62	NUM
bracis-19047	301	2	,	,	PUNCT
bracis-19047	301	3	1641–1669	1641–1669	NUM
bracis-19047	301	4	(	(	PUNCT
bracis-19047	301	5	2019	2019	NUM
bracis-19047	301	6	)	)	PUNCT
bracis-19047	301	7	google	google	PROPN
bracis-19047	301	8	scholar	scholar	NOUN
bracis-19047	301	9	  	  	SPACE
bracis-19047	301	10	valejo	valejo	PROPN
bracis-19047	301	11	,	,	PUNCT
bracis-19047	301	12	a.	a.	PROPN
bracis-19047	301	13	,	,	PUNCT
bracis-19047	301	14	oliveira	oliveira	PROPN
bracis-19047	301	15	,	,	PUNCT
bracis-19047	301	16	m.c.r.f	m.c.r.f	PROPN
bracis-19047	301	17	.	.	PROPN
bracis-19047	301	18	,	,	PUNCT
bracis-19047	301	19	filho	filho	PROPN
bracis-19047	301	20	,	,	PUNCT
bracis-19047	301	21	g.p	g.p	PROPN
bracis-19047	301	22	.	.	PROPN
bracis-19047	301	23	,	,	PUNCT
bracis-19047	301	24	lopes	lopes	PROPN
bracis-19047	301	25	,	,	PUNCT
bracis-19047	301	26	a.a	a.a	PROPN
bracis-19047	301	27	.	.	PROPN
bracis-19047	301	28	:	:	PUNCT
bracis-19047	302	1	multilevel	multilevel	ADJ
bracis-19047	302	2	approach	approach	NOUN
bracis-19047	302	3	for	for	ADP
bracis-19047	302	4	combinatorial	combinatorial	ADJ
bracis-19047	302	5	optimization	optimization	NOUN
bracis-19047	302	6	in	in	ADP
bracis-19047	302	7	bipartite	bipartite	PROPN
bracis-19047	302	8	network	network	NOUN
bracis-19047	302	9	.	.	PUNCT
bracis-19047	303	1	knowl	knowl	PROPN
bracis-19047	303	2	.	.	PUNCT
bracis-19047	304	1	based	base	VERB
bracis-19047	304	2	syst	syst	PROPN
bracis-19047	304	3	.	.	PUNCT
bracis-19047	304	4	151	151	NUM
bracis-19047	304	5	,	,	PUNCT
bracis-19047	304	6	45–61	45–61	NUM
bracis-19047	304	7	(	(	PUNCT
bracis-19047	304	8	2018	2018	NUM
bracis-19047	304	9	)	)	PUNCT
bracis-19047	304	10	article	article	NOUN
bracis-19047	304	11	  	  	SPACE
bracis-19047	304	12	google	google	PROPN
bracis-19047	304	13	scholar	scholar	NOUN
bracis-19047	304	14	  	  	SPACE
bracis-19047	304	15	valejo	valejo	ADJ
bracis-19047	304	16	,	,	PUNCT
bracis-19047	304	17	a.d.b	a.d.b	NOUN
bracis-19047	304	18	.	.	PROPN
bracis-19047	304	19	,	,	PUNCT
bracis-19047	304	20	de	de	PROPN
bracis-19047	304	21	oliveira	oliveira	PROPN
bracis-19047	304	22	 	 	SPACE
bracis-19047	304	23	dos	dos	PROPN
bracis-19047	304	24	 	 	SPACE
bracis-19047	304	25	santos	santo	NOUN
bracis-19047	304	26	,	,	PUNCT
bracis-19047	304	27	w.	w.	PROPN
bracis-19047	304	28	,	,	PUNCT
bracis-19047	304	29	naldi	naldi	PROPN
bracis-19047	304	30	,	,	PUNCT
bracis-19047	304	31	m.c	m.c	PROPN
bracis-19047	304	32	.	.	PROPN
bracis-19047	304	33	,	,	PUNCT
bracis-19047	304	34	zhao	zhao	PROPN
bracis-19047	304	35	,	,	PUNCT
bracis-19047	304	36	l.	l.	PROPN
bracis-19047	304	37	:	:	PUNCT
bracis-19047	304	38	a	a	DET
bracis-19047	304	39	review	review	NOUN
bracis-19047	304	40	and	and	CCONJ
bracis-19047	304	41	comparative	comparative	ADJ
bracis-19047	304	42	analysis	analysis	NOUN
bracis-19047	304	43	of	of	ADP
bracis-19047	304	44	coarsening	coarsen	VERB
bracis-19047	304	45	algorithms	algorithm	NOUN
bracis-19047	304	46	on	on	ADP
bracis-19047	304	47	bipartite	bipartite	PROPN
bracis-19047	304	48	networks	network	NOUN
bracis-19047	304	49	.	.	PUNCT
bracis-19047	305	1	eur	eur	ADJ
bracis-19047	305	2	.	.	PUNCT
bracis-19047	306	1	phys	phy	NOUN
bracis-19047	306	2	.	.	PUNCT
bracis-19047	307	1	j.	j.	PROPN
bracis-19047	307	2	spec	spec	PROPN
bracis-19047	307	3	.	.	PUNCT
bracis-19047	308	1	top	top	ADJ
bracis-19047	308	2	.	.	PUNCT
bracis-19047	309	1	(	(	PUNCT
bracis-19047	309	2	4	4	NUM
bracis-19047	309	3	)	)	PUNCT
bracis-19047	309	4	,	,	PUNCT
bracis-19047	309	5	1–11	1–11	PROPN
bracis-19047	309	6	(	(	PUNCT
bracis-19047	309	7	2021	2021	NUM
bracis-19047	309	8	)	)	PUNCT
bracis-19047	309	9	.	.	PUNCT
bracis-19047	310	1	https://doi.org/10.1140/epjs/s11734-021-00159-0	https://doi.org/10.1140/epjs/s11734-021-00159-0	PROPN
bracis-19047	310	2	walshaw	walshaw	PROPN
bracis-19047	310	3	,	,	PUNCT
bracis-19047	310	4	c.	c.	NOUN
bracis-19047	310	5	:	:	PUNCT
bracis-19047	310	6	a	a	DET
bracis-19047	310	7	multilevel	multilevel	ADJ
bracis-19047	310	8	algorithm	algorithm	NOUN
bracis-19047	310	9	for	for	ADP
bracis-19047	310	10	force	force	NOUN
bracis-19047	310	11	-	-	PUNCT
bracis-19047	310	12	directed	direct	VERB
bracis-19047	310	13	graph	graph	NOUN
bracis-19047	310	14	drawing	drawing	NOUN
bracis-19047	310	15	.	.	PUNCT
bracis-19047	311	1	in	in	ADP
bracis-19047	311	2	:	:	PUNCT
bracis-19047	311	3	proceedings	proceeding	NOUN
bracis-19047	311	4	of	of	ADP
bracis-19047	311	5	the	the	DET
bracis-19047	311	6	international	international	ADJ
bracis-19047	311	7	symposium	symposium	NOUN
bracis-19047	311	8	on	on	ADP
bracis-19047	311	9	graph	graph	NOUN
bracis-19047	311	10	drawing	drawing	NOUN
bracis-19047	311	11	,	,	PUNCT
bracis-19047	311	12	vol	vol	NOUN
bracis-19047	311	13	.	.	PROPN
bracis-19047	311	14	1984	1984	NUM
bracis-19047	311	15	,	,	PUNCT
bracis-19047	311	16	pp	pp	ADP
bracis-19047	311	17	.	.	PUNCT
bracis-19047	312	1	171–182	171–182	NUM
bracis-19047	312	2	(	(	PUNCT
bracis-19047	312	3	2001	2001	NUM
bracis-19047	312	4	)	)	PUNCT
bracis-19047	312	5	google	google	PROPN
bracis-19047	312	6	scholar	scholar	NOUN
bracis-19047	312	7	  	  	SPACE
bracis-19047	312	8	zhu	zhu	PROPN
bracis-19047	312	9	,	,	PUNCT
bracis-19047	312	10	m.	m.	NOUN
bracis-19047	312	11	,	,	PUNCT
bracis-19047	312	12	meng	meng	PROPN
bracis-19047	312	13	,	,	PUNCT
bracis-19047	312	14	f.	f.	PROPN
bracis-19047	312	15	,	,	PUNCT
bracis-19047	312	16	zhou	zhou	PROPN
bracis-19047	312	17	,	,	PUNCT
bracis-19047	312	18	y.	y.	PROPN
bracis-19047	312	19	,	,	PUNCT
bracis-19047	312	20	yuan	yuan	PROPN
bracis-19047	312	21	,	,	PUNCT
bracis-19047	312	22	g.	g.	PROPN
bracis-19047	312	23	:	:	PUNCT
bracis-19047	312	24	an	an	DET
bracis-19047	312	25	approximate	approximate	ADJ
bracis-19047	312	26	spectral	spectral	ADJ
bracis-19047	312	27	clustering	clustering	NOUN
bracis-19047	312	28	for	for	ADP
bracis-19047	312	29	community	community	NOUN
bracis-19047	312	30	detection	detection	NOUN
bracis-19047	312	31	based	base	VERB
bracis-19047	312	32	on	on	ADP
bracis-19047	312	33	coarsening	coarsen	VERB
bracis-19047	312	34	networks	network	NOUN
bracis-19047	312	35	.	.	PUNCT
bracis-19047	313	1	int	int	NOUN
bracis-19047	313	2	.	.	PUNCT
bracis-19047	314	1	j.	j.	PROPN
bracis-19047	314	2	adv	adv	PROPN
bracis-19047	314	3	.	.	PUNCT
bracis-19047	315	1	comput	comput	PROPN
bracis-19047	315	2	.	.	PUNCT
bracis-19047	316	1	technol	technol	NOUN
bracis-19047	316	2	.	.	PUNCT
bracis-19047	317	1	4(4	4(4	NUM
bracis-19047	317	2	)	)	PUNCT
bracis-19047	318	1	,	,	PUNCT
bracis-19047	318	2	235–243	235–243	NUM
bracis-19047	318	3	(	(	PUNCT
bracis-19047	318	4	2012	2012	NUM
bracis-19047	318	5	)	)	PUNCT
bracis-19047	318	6	google	google	PROPN
bracis-19047	318	7	scholar	scholar	NOUN
bracis-19047	318	8	  	  	SPACE
bracis-19047	318	9	download	download	NOUN
bracis-19047	318	10	references	reference	NOUN
bracis-19047	318	11	author	author	NOUN
bracis-19047	318	12	information	information	NOUN
bracis-19047	318	13	authors	author	NOUN
bracis-19047	318	14	and	and	CCONJ
bracis-19047	318	15	affiliations	affiliation	NOUN
bracis-19047	318	16	department	department	PROPN
bracis-19047	318	17	of	of	ADP
bracis-19047	318	18	computing	computing	PROPN
bracis-19047	318	19	,	,	PUNCT
bracis-19047	318	20	federal	federal	ADJ
bracis-19047	318	21	university	university	PROPN
bracis-19047	318	22	of	of	ADP
bracis-19047	318	23	são	são	PROPN
bracis-19047	318	24	carlos	carlos	PROPN
bracis-19047	318	25	(	(	PUNCT
bracis-19047	318	26	ufscar	ufscar	PROPN
bracis-19047	318	27	)	)	PUNCT
bracis-19047	318	28	,	,	PUNCT
bracis-19047	318	29	são	são	PROPN
bracis-19047	318	30	carlos	carlos	PROPN
bracis-19047	318	31	,	,	PUNCT
bracis-19047	318	32	sp	sp	PROPN
bracis-19047	318	33	,	,	PUNCT
bracis-19047	318	34	brazil	brazil	PROPN
bracis-19047	318	35	alan	alan	PROPN
bracis-19047	318	36	demétrius	demétrius	PROPN
bracis-19047	318	37	baria	baria	PROPN
bracis-19047	318	38	valejo	valejo	PROPN
bracis-19047	318	39	university	university	PROPN
bracis-19047	318	40	of	of	ADP
bracis-19047	318	41	brasília	brasília	PROPN
bracis-19047	318	42	(	(	PUNCT
bracis-19047	318	43	unb	unb	PROPN
bracis-19047	318	44	)	)	PUNCT
bracis-19047	318	45	,	,	PUNCT
bracis-19047	318	46	brasília	brasília	PROPN
bracis-19047	318	47	,	,	PUNCT
bracis-19047	318	48	df	df	PROPN
bracis-19047	318	49	,	,	PUNCT
bracis-19047	318	50	brazil	brazil	PROPN
bracis-19047	318	51	paulo	paulo	PROPN
bracis-19047	318	52	eduardo	eduardo	PROPN
bracis-19047	318	53	althoff	althoff	PROPN
bracis-19047	318	54	 	 	SPACE
bracis-19047	318	55	&	&	CCONJ
bracis-19047	318	56	 	 	SPACE
bracis-19047	318	57	thiago	thiago	PROPN
bracis-19047	318	58	de	de	PROPN
bracis-19047	318	59	paulo	paulo	PROPN
bracis-19047	318	60	 	 	SPACE
bracis-19047	318	61	faleiros	faleiros	PROPN
bracis-19047	318	62	federal	federal	PROPN
bracis-19047	318	63	university	university	PROPN
bracis-19047	318	64	of	of	ADP
bracis-19047	318	65	uberlândia	uberlândia	PROPN
bracis-19047	318	66	(	(	PUNCT
bracis-19047	318	67	ufu	ufu	PROPN
bracis-19047	318	68	)	)	PUNCT
bracis-19047	318	69	,	,	PUNCT
bracis-19047	318	70	uberlândia	uberlândia	PROPN
bracis-19047	318	71	,	,	PUNCT
bracis-19047	318	72	brazil	brazil	PROPN
bracis-19047	318	73	maria	maria	PROPN
bracis-19047	318	74	lígia	lígia	PROPN
bracis-19047	318	75	chuerubim	chuerubim	VERB
bracis-19047	318	76	school	school	NOUN
bracis-19047	318	77	of	of	ADP
bracis-19047	318	78	computer	computer	NOUN
bracis-19047	318	79	science	science	NOUN
bracis-19047	318	80	,	,	PUNCT
bracis-19047	318	81	zhongyuan	zhongyuan	PROPN
bracis-19047	318	82	university	university	PROPN
bracis-19047	318	83	of	of	ADP
bracis-19047	318	84	technology	technology	PROPN
bracis-19047	318	85	,	,	PUNCT
bracis-19047	318	86	zhengzhou	zhengzhou	PROPN
bracis-19047	318	87	,	,	PUNCT
bracis-19047	318	88	china	china	PROPN
bracis-19047	318	89	jianglong	jianglong	PROPN
bracis-19047	318	90	yan	yan	PROPN
bracis-19047	318	91	 	 	SPACE
bracis-19047	318	92	&	&	CCONJ
bracis-19047	318	93	 	 	SPACE
bracis-19047	318	94	weiguang	weiguang	PROPN
bracis-19047	318	95	liu	liu	PROPN
bracis-19047	318	96	department	department	PROPN
bracis-19047	318	97	of	of	ADP
bracis-19047	318	98	computing	computing	NOUN
bracis-19047	318	99	and	and	CCONJ
bracis-19047	318	100	mathematics	mathematics	PROPN
bracis-19047	318	101	(	(	PUNCT
bracis-19047	318	102	dcm	dcm	PROPN
bracis-19047	318	103	)	)	PUNCT
bracis-19047	318	104	,	,	PUNCT
bracis-19047	318	105	ffclrp	ffclrp	NOUN
bracis-19047	318	106	,	,	PUNCT
bracis-19047	318	107	university	university	NOUN
bracis-19047	318	108	of	of	ADP
bracis-19047	318	109	são	são	PROPN
bracis-19047	318	110	paulo	paulo	PROPN
bracis-19047	318	111	(	(	PUNCT
bracis-19047	318	112	usp	usp	PROPN
bracis-19047	318	113	)	)	PUNCT
bracis-19047	318	114	,	,	PUNCT
bracis-19047	318	115	ribeirão	ribeirão	PROPN
bracis-19047	318	116	preto	preto	PROPN
bracis-19047	318	117	,	,	PUNCT
bracis-19047	318	118	sp	sp	PROPN
bracis-19047	318	119	,	,	PUNCT
bracis-19047	318	120	brazil	brazil	PROPN
bracis-19047	318	121	liang	liang	PROPN
bracis-19047	318	122	zhao	zhao	PROPN
bracis-19047	318	123	authors	authors	PROPN
bracis-19047	318	124	alan	alan	PROPN
bracis-19047	318	125	demétrius	demétrius	PROPN
bracis-19047	318	126	baria	baria	PROPN
bracis-19047	318	127	valejoview	valejoview	NOUN
bracis-19047	318	128	author	author	NOUN
bracis-19047	318	129	publications	publication	NOUN
bracis-19047	318	130	search	search	NOUN
bracis-19047	318	131	author	author	NOUN
bracis-19047	318	132	on	on	ADP
bracis-19047	318	133	:	:	PUNCT
bracis-19047	318	134	pubmed	pubmed	PROPN
bracis-19047	318	135	 	 	SPACE
bracis-19047	318	136	google	google	PROPN
bracis-19047	318	137	scholar	scholar	PROPN
bracis-19047	318	138	paulo	paulo	PROPN
bracis-19047	318	139	eduardo	eduardo	PROPN
bracis-19047	319	1	althoffview	althoffview	VERB
bracis-19047	319	2	author	author	NOUN
bracis-19047	319	3	publications	publication	NOUN
bracis-19047	319	4	search	search	NOUN
bracis-19047	319	5	author	author	NOUN
bracis-19047	319	6	on	on	ADP
bracis-19047	319	7	:	:	PUNCT
bracis-19047	319	8	pubmed	pubmed	PROPN
bracis-19047	319	9	 	 	SPACE
bracis-19047	319	10	google	google	PROPN
bracis-19047	319	11	scholar	scholar	NOUN
bracis-19047	319	12	thiago	thiago	PROPN
bracis-19047	319	13	de	de	PROPN
bracis-19047	319	14	paulo	paulo	PROPN
bracis-19047	319	15	 	 	SPACE
bracis-19047	319	16	faleirosview	faleirosview	PROPN
bracis-19047	319	17	author	author	NOUN
bracis-19047	319	18	publications	publication	NOUN
bracis-19047	319	19	search	search	NOUN
bracis-19047	319	20	author	author	NOUN
bracis-19047	319	21	on	on	ADP
bracis-19047	319	22	:	:	PUNCT
bracis-19047	319	23	pubmed	pubmed	PROPN
bracis-19047	319	24	 	 	SPACE
bracis-19047	319	25	google	google	PROPN
bracis-19047	319	26	scholar	scholar	PROPN
bracis-19047	319	27	maria	maria	PROPN
bracis-19047	319	28	lígia	lígia	PROPN
bracis-19047	319	29	chuerubimview	chuerubimview	PROPN
bracis-19047	319	30	author	author	NOUN
bracis-19047	319	31	publications	publication	NOUN
bracis-19047	319	32	search	search	NOUN
bracis-19047	319	33	author	author	NOUN
bracis-19047	319	34	on	on	ADP
bracis-19047	319	35	:	:	PUNCT
bracis-19047	319	36	pubmed	pubmed	PROPN
bracis-19047	319	37	 	 	SPACE
bracis-19047	319	38	google	google	PROPN
bracis-19047	319	39	scholar	scholar	NOUN
bracis-19047	319	40	jianglong	jianglong	PROPN
bracis-19047	319	41	yanview	yanview	ADJ
bracis-19047	319	42	author	author	NOUN
bracis-19047	319	43	publications	publication	NOUN
bracis-19047	319	44	search	search	NOUN
bracis-19047	319	45	author	author	NOUN
bracis-19047	319	46	on	on	ADP
bracis-19047	319	47	:	:	PUNCT
bracis-19047	319	48	pubmed	pubmed	PROPN
bracis-19047	319	49	 	 	SPACE
bracis-19047	319	50	google	google	PROPN
bracis-19047	319	51	scholar	scholar	NOUN
bracis-19047	319	52	weiguang	weiguang	PROPN
bracis-19047	319	53	liuview	liuview	PROPN
bracis-19047	319	54	author	author	NOUN
bracis-19047	319	55	publications	publication	NOUN
bracis-19047	319	56	search	search	NOUN
bracis-19047	319	57	author	author	NOUN
bracis-19047	319	58	on	on	ADP
bracis-19047	319	59	:	:	PUNCT
bracis-19047	319	60	pubmed	pubmed	PROPN
bracis-19047	319	61	 	 	SPACE
bracis-19047	319	62	google	google	PROPN
bracis-19047	319	63	scholar	scholar	PROPN
bracis-19047	319	64	liang	liang	PROPN
bracis-19047	319	65	zhaoview	zhaoview	PROPN
bracis-19047	319	66	author	author	NOUN
bracis-19047	319	67	publications	publication	NOUN
bracis-19047	319	68	search	search	NOUN
bracis-19047	319	69	author	author	NOUN
bracis-19047	319	70	on	on	ADP
bracis-19047	319	71	:	:	PUNCT
bracis-19047	319	72	pubmed	pubmed	PROPN
bracis-19047	319	73	 	 	SPACE
bracis-19047	319	74	google	google	PROPN
bracis-19047	319	75	scholar	scholar	NOUN
bracis-19047	319	76	corresponding	correspond	VERB
bracis-19047	319	77	author	author	NOUN
bracis-19047	319	78	correspondence	correspondence	NOUN
bracis-19047	319	79	to	to	ADP
bracis-19047	319	80	alan	alan	PROPN
bracis-19047	319	81	demétrius	demétrius	PROPN
bracis-19047	319	82	baria	baria	PROPN
bracis-19047	319	83	valejo	valejo	PROPN
bracis-19047	319	84	.	.	PUNCT
bracis-19047	320	1	editor	editor	NOUN
bracis-19047	320	2	information	information	NOUN
bracis-19047	320	3	editors	editor	NOUN
bracis-19047	320	4	and	and	CCONJ
bracis-19047	320	5	affiliations	affiliation	NOUN
bracis-19047	320	6	universidade	universidade	PROPN
bracis-19047	320	7	federal	federal	PROPN
bracis-19047	320	8	de	de	X
bracis-19047	320	9	sergipe	sergipe	PROPN
bracis-19047	320	10	,	,	PUNCT
bracis-19047	320	11	são	são	NOUN
bracis-19047	320	12	cristóvão	cristóvão	PROPN
bracis-19047	320	13	,	,	PUNCT
bracis-19047	320	14	brazil	brazil	PROPN
bracis-19047	320	15	andré	andré	PROPN
bracis-19047	320	16	britto	britto	PROPN
bracis-19047	320	17	universidade	universidade	PROPN
bracis-19047	320	18	de	de	PROPN
bracis-19047	320	19	são	são	PROPN
bracis-19047	320	20	paulo	paulo	PROPN
bracis-19047	320	21	,	,	PUNCT
bracis-19047	320	22	são	são	PROPN
bracis-19047	320	23	paulo	paulo	PROPN
bracis-19047	320	24	,	,	PUNCT
bracis-19047	320	25	brazil	brazil	PROPN
bracis-19047	320	26	karina	karina	PROPN
bracis-19047	320	27	valdivia	valdivia	PROPN
bracis-19047	320	28	delgado	delgado	VERB
bracis-19047	320	29	rights	right	NOUN
bracis-19047	320	30	and	and	CCONJ
bracis-19047	320	31	permissions	permission	NOUN
bracis-19047	320	32	reprints	reprint	NOUN
bracis-19047	320	33	and	and	CCONJ
bracis-19047	320	34	permissions	permission	VERB
bracis-19047	320	35	copyright	copyright	NOUN
bracis-19047	320	36	information	information	NOUN
bracis-19047	320	37	©	©	PROPN
bracis-19047	320	38	2021	2021	NUM
bracis-19047	320	39	springer	springer	NOUN
bracis-19047	320	40	nature	nature	NOUN
bracis-19047	320	41	switzerland	switzerland	PROPN
bracis-19047	320	42	ag	ag	PROPN
bracis-19047	320	43	about	about	ADP
bracis-19047	320	44	this	this	DET
bracis-19047	320	45	paper	paper	NOUN
bracis-19047	320	46	cite	cite	VERB
bracis-19047	320	47	this	this	DET
bracis-19047	320	48	paper	paper	NOUN
bracis-19047	320	49	valejo	valejo	NOUN
bracis-19047	320	50	,	,	PUNCT
bracis-19047	320	51	a.d.b	a.d.b	NOUN
bracis-19047	320	52	.	.	PUNCT
bracis-19047	320	53	et	et	PROPN
bracis-19047	320	54	al	al	PROPN
bracis-19047	320	55	.	.	PROPN
bracis-19047	321	1	(	(	PUNCT
bracis-19047	321	2	2021	2021	NUM
bracis-19047	321	3	)	)	PUNCT
bracis-19047	321	4	.	.	PUNCT
bracis-19047	322	1	coarsening	coarsen	VERB
bracis-19047	322	2	algorithm	algorithm	NOUN
bracis-19047	322	3	via	via	ADP
bracis-19047	322	4	semi	semi	ADJ
bracis-19047	322	5	-	-	ADJ
bracis-19047	322	6	synchronous	synchronous	ADJ
bracis-19047	322	7	label	label	NOUN
bracis-19047	322	8	propagation	propagation	NOUN
bracis-19047	322	9	for	for	ADP
bracis-19047	322	10	bipartite	bipartite	PROPN
bracis-19047	322	11	networks	network	NOUN
bracis-19047	322	12	.	.	PUNCT
bracis-19047	323	1	in	in	ADP
bracis-19047	323	2	:	:	PUNCT
bracis-19047	323	3	britto	britto	PROPN
bracis-19047	323	4	,	,	PUNCT
bracis-19047	323	5	a.	a.	PROPN
bracis-19047	323	6	,	,	PUNCT
bracis-19047	323	7	valdivia	valdivia	PROPN
bracis-19047	323	8	delgado	delgado	PROPN
bracis-19047	323	9	,	,	PUNCT
bracis-19047	323	10	k.	k.	PROPN
bracis-19047	323	11	(	(	PUNCT
bracis-19047	323	12	eds	eds	PROPN
bracis-19047	323	13	)	)	PUNCT
bracis-19047	323	14	intelligent	intelligent	ADJ
bracis-19047	323	15	systems	system	NOUN
bracis-19047	323	16	.	.	PUNCT
bracis-19047	324	1	bracis	bracis	PROPN
bracis-19047	324	2	2021	2021	NUM
bracis-19047	324	3	.	.	PUNCT
bracis-19047	325	1	lecture	lecture	NOUN
bracis-19047	325	2	notes	note	NOUN
bracis-19047	325	3	in	in	ADP
bracis-19047	325	4	computer	computer	NOUN
bracis-19047	325	5	science	science	NOUN
bracis-19047	325	6	(	(	PUNCT
bracis-19047	325	7	)	)	PUNCT
bracis-19047	325	8	,	,	PUNCT
bracis-19047	325	9	vol	vol	NOUN
bracis-19047	325	10	13073	13073	NUM
bracis-19047	325	11	.	.	PUNCT
bracis-19047	326	1	springer	springer	NOUN
bracis-19047	326	2	,	,	PUNCT
bracis-19047	326	3	cham	cham	PROPN
bracis-19047	326	4	.	.	PUNCT
bracis-19047	327	1	https://doi.org/10.1007/978-3-030-91702-9_29	https://doi.org/10.1007/978-3-030-91702-9_29	NOUN
bracis-19047	327	2	download	download	NOUN
bracis-19047	327	3	citation	citation	NOUN
bracis-19047	327	4	.ris	.ris	PUNCT
bracis-19047	328	1	.enw	.enw	PROPN
bracis-19047	328	2	.bib	.bib	PUNCT
bracis-19047	329	1	doi	doi	PROPN
bracis-19047	329	2	:	:	PUNCT
bracis-19047	329	3	https://doi.org/10.1007/978-3-030-91702-9_29	https://doi.org/10.1007/978-3-030-91702-9_29	NOUN
bracis-19047	329	4	published	publish	VERB
bracis-19047	329	5	:	:	PUNCT
bracis-19047	329	6	28	28	NUM
bracis-19047	329	7	november	november	PROPN
bracis-19047	329	8	2021	2021	NUM
bracis-19047	329	9	publisher	publisher	NOUN
bracis-19047	329	10	name	name	NOUN
bracis-19047	329	11	:	:	PUNCT
bracis-19047	329	12	springer	springer	NOUN
bracis-19047	329	13	,	,	PUNCT
bracis-19047	329	14	cham	cham	PROPN
bracis-19047	329	15	print	print	PROPN
bracis-19047	329	16	isbn	isbn	PROPN
bracis-19047	329	17	:	:	PUNCT
bracis-19047	329	18	978	978	NUM
bracis-19047	329	19	-	-	SYM
bracis-19047	329	20	3	3	NUM
bracis-19047	329	21	-	-	PUNCT
bracis-19047	329	22	030	030	NUM
bracis-19047	329	23	-	-	PUNCT
bracis-19047	329	24	91701	91701	NUM
bracis-19047	329	25	-	-	SYM
bracis-19047	329	26	2	2	NUM
bracis-19047	329	27	online	online	ADJ
bracis-19047	329	28	isbn	isbn	NOUN
bracis-19047	329	29	:	:	PUNCT
bracis-19047	329	30	978	978	NUM
bracis-19047	329	31	-	-	SYM
bracis-19047	329	32	3	3	NUM
bracis-19047	329	33	-	-	PUNCT
bracis-19047	329	34	030	030	NUM
bracis-19047	329	35	-	-	PUNCT
bracis-19047	329	36	91702	91702	NUM
bracis-19047	329	37	-	-	SYM
bracis-19047	329	38	9	9	NUM
bracis-19047	329	39	ebook	ebook	NOUN
bracis-19047	329	40	packages	package	NOUN
bracis-19047	329	41	:	:	PUNCT
bracis-19047	329	42	computer	computer	NOUN
bracis-19047	329	43	sciencecomputer	sciencecomputer	NOUN
bracis-19047	329	44	science	science	NOUN
bracis-19047	329	45	(	(	PUNCT
bracis-19047	329	46	r0	r0	NOUN
bracis-19047	329	47	)	)	PUNCT
bracis-19047	329	48	share	share	VERB
bracis-19047	329	49	this	this	DET
bracis-19047	329	50	paper	paper	NOUN
bracis-19047	329	51	anyone	anyone	PRON
bracis-19047	329	52	you	you	PRON
bracis-19047	329	53	share	share	VERB
bracis-19047	329	54	the	the	DET
bracis-19047	329	55	following	follow	VERB
bracis-19047	329	56	link	link	NOUN
bracis-19047	329	57	with	with	ADP
bracis-19047	329	58	will	will	AUX
bracis-19047	329	59	be	be	AUX
bracis-19047	329	60	able	able	ADJ
bracis-19047	329	61	to	to	PART
bracis-19047	329	62	read	read	VERB
bracis-19047	329	63	this	this	DET
bracis-19047	329	64	content	content	NOUN
bracis-19047	329	65	:	:	PUNCT
bracis-19047	329	66	get	get	VERB
bracis-19047	329	67	shareable	shareable	ADJ
bracis-19047	329	68	linksorry	linksorry	NOUN
bracis-19047	329	69	,	,	PUNCT
bracis-19047	329	70	a	a	DET
bracis-19047	329	71	shareable	shareable	ADJ
bracis-19047	329	72	link	link	NOUN
bracis-19047	329	73	is	be	AUX
bracis-19047	329	74	not	not	PART
bracis-19047	329	75	currently	currently	ADV
bracis-19047	329	76	available	available	ADJ
bracis-19047	329	77	for	for	ADP
bracis-19047	329	78	this	this	DET
bracis-19047	329	79	article	article	NOUN
bracis-19047	329	80	.	.	PUNCT
bracis-19047	330	1	copy	copy	VERB
bracis-19047	330	2	shareable	shareable	ADJ
bracis-19047	330	3	link	link	NOUN
bracis-19047	330	4	to	to	PART
bracis-19047	330	5	clipboard	clipboard	NOUN
bracis-19047	330	6	provided	provide	VERB
bracis-19047	330	7	by	by	ADP
bracis-19047	330	8	the	the	DET
bracis-19047	330	9	springer	springer	NOUN
bracis-19047	330	10	nature	nature	PROPN
bracis-19047	330	11	sharedit	sharedit	PROPN
bracis-19047	330	12	content	content	NOUN
bracis-19047	330	13	-	-	PUNCT
bracis-19047	330	14	sharing	share	VERB
bracis-19047	330	15	initiative	initiative	NOUN
bracis-19047	330	16	keywords	keyword	NOUN
bracis-19047	330	17	complex	complex	ADJ
bracis-19047	330	18	networks	network	NOUN
bracis-19047	330	19	bipartite	bipartite	PROPN
bracis-19047	330	20	networks	network	NOUN
bracis-19047	330	21	multilevel	multilevel	NOUN
bracis-19047	330	22	method	method	NOUN
bracis-19047	330	23	multiscaling	multiscale	VERB
bracis-19047	330	24	analysis	analysis	NOUN
bracis-19047	330	25	publish	publish	NOUN
bracis-19047	330	26	with	with	ADP
bracis-19047	330	27	us	us	PROPN
bracis-19047	330	28	policies	policy	NOUN
bracis-19047	330	29	and	and	CCONJ
bracis-19047	330	30	ethics	ethic	NOUN
bracis-19047	330	31	profiles	profile	NOUN
bracis-19047	330	32	thiago	thiago	PROPN
bracis-19047	330	33	de	de	PROPN
bracis-19047	330	34	paulo	paulo	PROPN
bracis-19047	330	35	 	 	SPACE
bracis-19047	330	36	faleiros	faleiros	PROPN
bracis-19047	330	37	view	view	NOUN
bracis-19047	330	38	author	author	NOUN
bracis-19047	330	39	profile	profile	NOUN
bracis-19047	330	40	search	search	NOUN
bracis-19047	330	41	search	search	NOUN
bracis-19047	330	42	by	by	ADP
bracis-19047	330	43	keyword	keyword	NOUN
bracis-19047	330	44	or	or	CCONJ
bracis-19047	330	45	author	author	NOUN
bracis-19047	330	46	search	search	NOUN
bracis-19047	330	47	navigation	navigation	NOUN
bracis-19047	330	48	find	find	VERB
bracis-19047	330	49	a	a	DET
bracis-19047	330	50	journal	journal	NOUN
bracis-19047	330	51	publish	publish	VERB
bracis-19047	330	52	with	with	ADP
bracis-19047	330	53	us	we	PRON
bracis-19047	330	54	track	track	VERB
bracis-19047	330	55	your	your	PRON
bracis-19047	330	56	research	research	NOUN
bracis-19047	330	57	discover	discover	VERB
bracis-19047	330	58	content	content	NOUN
bracis-19047	330	59	journals	journal	NOUN
bracis-19047	330	60	a	a	DET
bracis-19047	330	61	-	-	PUNCT
bracis-19047	330	62	z	z	NOUN
bracis-19047	330	63	books	book	NOUN
bracis-19047	330	64	a	a	DET
bracis-19047	330	65	-	-	PUNCT
bracis-19047	330	66	z	z	NOUN
bracis-19047	330	67	publish	publish	NOUN
bracis-19047	330	68	with	with	ADP
bracis-19047	330	69	us	us	PROPN
bracis-19047	330	70	journal	journal	PROPN
bracis-19047	330	71	finder	finder	PROPN
bracis-19047	330	72	publish	publish	VERB
bracis-19047	330	73	your	your	PRON
bracis-19047	330	74	research	research	NOUN
bracis-19047	330	75	language	language	NOUN
bracis-19047	330	76	editing	edit	VERB
bracis-19047	330	77	open	open	ADJ
bracis-19047	330	78	access	access	NOUN
bracis-19047	330	79	publishing	publishing	NOUN
bracis-19047	330	80	products	product	NOUN
bracis-19047	330	81	and	and	CCONJ
bracis-19047	330	82	services	service	NOUN
bracis-19047	330	83	our	our	PRON
bracis-19047	330	84	products	product	NOUN
bracis-19047	330	85	librarians	librarian	VERB
bracis-19047	330	86	societies	society	NOUN
bracis-19047	330	87	partners	partner	NOUN
bracis-19047	330	88	and	and	CCONJ
bracis-19047	330	89	advertisers	advertiser	NOUN
bracis-19047	330	90	our	our	PRON
bracis-19047	330	91	brands	brand	NOUN
bracis-19047	330	92	springer	springer	NOUN
bracis-19047	330	93	nature	nature	PROPN
bracis-19047	330	94	portfolio	portfolio	PROPN
bracis-19047	330	95	bmc	bmc	PROPN
bracis-19047	330	96	palgrave	palgrave	PROPN
bracis-19047	330	97	macmillan	macmillan	PROPN
bracis-19047	330	98	apress	apress	PROPN
bracis-19047	330	99	discover	discover	VERB
bracis-19047	330	100	your	your	PRON
bracis-19047	330	101	privacy	privacy	NOUN
bracis-19047	330	102	choices	choice	NOUN
bracis-19047	330	103	/	/	SYM
bracis-19047	330	104	manage	manage	NOUN
bracis-19047	330	105	cookies	cookie	NOUN
bracis-19047	330	106	your	your	PRON
bracis-19047	330	107	us	us	PROPN
bracis-19047	331	1	state	state	NOUN
bracis-19047	331	2	privacy	privacy	NOUN
bracis-19047	331	3	rights	right	NOUN
bracis-19047	331	4	accessibility	accessibility	NOUN
bracis-19047	331	5	statement	statement	NOUN
bracis-19047	331	6	terms	term	NOUN
bracis-19047	331	7	and	and	CCONJ
bracis-19047	331	8	conditions	condition	NOUN
bracis-19047	331	9	privacy	privacy	NOUN
bracis-19047	331	10	policy	policy	NOUN
bracis-19047	331	11	help	help	NOUN
bracis-19047	331	12	and	and	CCONJ
bracis-19047	331	13	support	support	VERB
bracis-19047	331	14	legal	legal	ADJ
bracis-19047	331	15	notice	notice	NOUN
bracis-19047	331	16	cancel	cancel	VERB
bracis-19047	331	17	contracts	contract	NOUN
bracis-19047	331	18	here	here	ADV
bracis-19047	331	19	129.74.145.123	129.74.145.123	NUM
bracis-19047	331	20	hesburgh	hesburgh	PROPN
bracis-19047	331	21	library	library	PROPN
bracis-19047	331	22	er	er	INTJ
bracis-19047	331	23	unit	unit	NOUN
bracis-19047	331	24	(	(	PUNCT
bracis-19047	331	25	3005732405	3005732405	NUM
bracis-19047	331	26	)	)	PUNCT
bracis-19047	331	27	northeast	northeast	ADJ
bracis-19047	331	28	research	research	NOUN
bracis-19047	331	29	libraries	library	NOUN
bracis-19047	331	30	(	(	PUNCT
bracis-19047	331	31	nerl	nerl	PROPN
bracis-19047	331	32	)	)	PUNCT
bracis-19047	331	33	(	(	PUNCT
bracis-19047	331	34	8200828607	8200828607	NUM
bracis-19047	331	35	)	)	PUNCT
bracis-19047	331	36	nerl	nerl	VERB
bracis-19047	331	37	ta	ta	X
bracis-19047	331	38	account	account	NOUN
bracis-19047	331	39	(	(	PUNCT
bracis-19047	331	40	3006206169	3006206169	NUM
bracis-19047	331	41	)	)	PUNCT
bracis-19047	331	42	university	university	NOUN
bracis-19047	331	43	of	of	ADP
bracis-19047	331	44	notre	notre	PROPN
bracis-19047	331	45	dame	dame	PROPN
bracis-19047	331	46	hesburgh	hesburgh	PROPN
bracis-19047	331	47	library	library	NOUN
bracis-19047	331	48	(	(	PUNCT
bracis-19047	331	49	3000184373	3000184373	NUM
bracis-19047	331	50	)	)	PUNCT
bracis-19047	332	1	©	©	ADP
bracis-19047	332	2	2025	2025	NUM
bracis-19047	332	3	springer	springer	NOUN
bracis-19047	332	4	nature	nature	NOUN