id	sid	tid	token	lemma	pos
fcis-8580	1	1	frontiers	frontier	NOUN
fcis-8580	1	2	in	in	ADP
fcis-8580	1	3	computing	computing	NOUN
fcis-8580	1	4	and	and	CCONJ
fcis-8580	1	5	intelligent	intelligent	ADJ
fcis-8580	1	6	systems	system	NOUN
fcis-8580	1	7	issn	issn	VERB
fcis-8580	1	8	:	:	PUNCT
fcis-8580	1	9	2832	2832	NUM
fcis-8580	1	10	-	-	SYM
fcis-8580	1	11	6024	6024	NUM
fcis-8580	1	12	|	|	NOUN
fcis-8580	1	13	vol	vol	NOUN
fcis-8580	1	14	.	.	PROPN
fcis-8580	2	1	3	3	NUM
fcis-8580	2	2	,	,	PUNCT
fcis-8580	2	3	no	no	INTJ
fcis-8580	2	4	.	.	NOUN
fcis-8580	2	5	3	3	NUM
fcis-8580	2	6	,	,	PUNCT
fcis-8580	2	7	2023	2023	NUM
fcis-8580	2	8	110	110	NUM
fcis-8580	2	9	multi‐objective	multi‐objective	ADJ
fcis-8580	2	10	optimization	optimization	NOUN
fcis-8580	2	11	overlapping	overlap	VERB
fcis-8580	2	12	community	community	NOUN
fcis-8580	2	13	detection	detection	NOUN
fcis-8580	2	14	algorithm	algorithm	NOUN
fcis-8580	2	15	based	base	VERB
fcis-8580	2	16	on	on	ADP
fcis-8580	2	17	subgraph	subgraph	NOUN
fcis-8580	2	18	structure	structure	NOUN
fcis-8580	2	19	changhong	changhong	NOUN
fcis-8580	2	20	li	li	PROPN
fcis-8580	2	21	*	*	PROPN
fcis-8580	2	22	school	school	NOUN
fcis-8580	2	23	of	of	ADP
fcis-8580	2	24	artificial	artificial	ADJ
fcis-8580	2	25	intelligence	intelligence	NOUN
fcis-8580	2	26	and	and	CCONJ
fcis-8580	2	27	automation	automation	NOUN
fcis-8580	2	28	,	,	PUNCT
fcis-8580	2	29	huazhong	huazhong	PROPN
fcis-8580	2	30	university	university	PROPN
fcis-8580	2	31	of	of	ADP
fcis-8580	2	32	science	science	NOUN
fcis-8580	2	33	and	and	CCONJ
fcis-8580	2	34	technology	technology	NOUN
fcis-8580	2	35	,	,	PUNCT
fcis-8580	2	36	wuhan	wuhan	PROPN
fcis-8580	2	37	hubei	hubei	PROPN
fcis-8580	2	38	,	,	PUNCT
fcis-8580	2	39	430074	430074	NUM
fcis-8580	2	40	,	,	PUNCT
fcis-8580	2	41	china	china	PROPN
fcis-8580	2	42	abstract	abstract	NOUN
fcis-8580	2	43	:	:	PUNCT
fcis-8580	2	44	community	community	NOUN
fcis-8580	2	45	detection	detection	NOUN
fcis-8580	2	46	in	in	ADP
fcis-8580	2	47	complex	complex	ADJ
fcis-8580	2	48	networks	network	NOUN
fcis-8580	2	49	has	have	AUX
fcis-8580	2	50	increasingly	increasingly	ADV
fcis-8580	2	51	become	become	VERB
fcis-8580	2	52	an	an	DET
fcis-8580	2	53	important	important	ADJ
fcis-8580	2	54	topic	topic	NOUN
fcis-8580	2	55	in	in	ADP
fcis-8580	2	56	the	the	DET
fcis-8580	2	57	network	network	NOUN
fcis-8580	2	58	,	,	PUNCT
fcis-8580	2	59	but	but	CCONJ
fcis-8580	2	60	in	in	ADP
fcis-8580	2	61	most	most	ADJ
fcis-8580	2	62	community	community	NOUN
fcis-8580	2	63	detection	detection	NOUN
fcis-8580	2	64	methods	method	NOUN
fcis-8580	2	65	,	,	PUNCT
fcis-8580	2	66	a	a	DET
fcis-8580	2	67	single	single	ADJ
fcis-8580	2	68	node	node	NOUN
fcis-8580	2	69	only	only	ADV
fcis-8580	2	70	belongs	belong	VERB
fcis-8580	2	71	to	to	ADP
fcis-8580	2	72	one	one	NUM
fcis-8580	2	73	community	community	NOUN
fcis-8580	2	74	.	.	PUNCT
fcis-8580	3	1	in	in	ADP
fcis-8580	3	2	fact	fact	NOUN
fcis-8580	3	3	,	,	PUNCT
fcis-8580	3	4	there	there	PRON
fcis-8580	3	5	is	be	VERB
fcis-8580	3	6	often	often	ADV
fcis-8580	3	7	overlap	overlap	ADJ
fcis-8580	3	8	among	among	ADP
fcis-8580	3	9	real	real	ADJ
fcis-8580	3	10	-	-	PUNCT
fcis-8580	3	11	world	world	NOUN
fcis-8580	3	12	online	online	ADJ
fcis-8580	3	13	communities	community	NOUN
fcis-8580	3	14	.	.	PUNCT
fcis-8580	4	1	in	in	ADP
fcis-8580	4	2	this	this	DET
fcis-8580	4	3	paper	paper	NOUN
fcis-8580	4	4	,	,	PUNCT
fcis-8580	4	5	an	an	DET
fcis-8580	4	6	overlapping	overlap	VERB
fcis-8580	4	7	community	community	NOUN
fcis-8580	4	8	detection	detection	NOUN
fcis-8580	4	9	algorithm	algorithm	NOUN
fcis-8580	4	10	based	base	VERB
fcis-8580	4	11	on	on	ADP
fcis-8580	4	12	subgraph	subgraph	NOUN
fcis-8580	4	13	structure	structure	NOUN
fcis-8580	4	14	and	and	CCONJ
fcis-8580	4	15	multioptimization	multioptimization	NOUN
fcis-8580	4	16	method	method	NOUN
fcis-8580	4	17	is	be	AUX
fcis-8580	4	18	designed	design	VERB
fcis-8580	4	19	.	.	PUNCT
fcis-8580	5	1	in	in	ADP
fcis-8580	5	2	this	this	DET
fcis-8580	5	3	algorithm	algorithm	NOUN
fcis-8580	5	4	,	,	PUNCT
fcis-8580	5	5	the	the	DET
fcis-8580	5	6	maximum	maximum	ADJ
fcis-8580	5	7	clique	clique	NOUN
fcis-8580	5	8	mined	mine	VERB
fcis-8580	5	9	by	by	ADP
fcis-8580	5	10	k	k	ADJ
fcis-8580	5	11	-	-	PUNCT
fcis-8580	5	12	core	core	NOUN
fcis-8580	5	13	decomposition	decomposition	NOUN
fcis-8580	5	14	is	be	AUX
fcis-8580	5	15	used	use	VERB
fcis-8580	5	16	as	as	ADP
fcis-8580	5	17	the	the	DET
fcis-8580	5	18	clique	clique	NOUN
fcis-8580	5	19	node	node	NOUN
fcis-8580	5	20	,	,	PUNCT
fcis-8580	5	21	thus	thus	ADV
fcis-8580	5	22	the	the	DET
fcis-8580	5	23	overlap	overlap	NOUN
fcis-8580	5	24	characteristic	characteristic	NOUN
fcis-8580	5	25	is	be	AUX
fcis-8580	5	26	transformed	transform	VERB
fcis-8580	5	27	into	into	ADP
fcis-8580	5	28	the	the	DET
fcis-8580	5	29	inherent	inherent	ADJ
fcis-8580	5	30	characteristic	characteristic	NOUN
fcis-8580	5	31	of	of	ADP
fcis-8580	5	32	the	the	DET
fcis-8580	5	33	new	new	ADJ
fcis-8580	5	34	graph	graph	NOUN
fcis-8580	5	35	.	.	PUNCT
fcis-8580	6	1	after	after	ADP
fcis-8580	6	2	that	that	PRON
fcis-8580	6	3	,	,	PUNCT
fcis-8580	6	4	a	a	DET
fcis-8580	6	5	population	population	NOUN
fcis-8580	6	6	initialization	initialization	NOUN
fcis-8580	6	7	method	method	NOUN
fcis-8580	6	8	based	base	VERB
fcis-8580	6	9	on	on	ADP
fcis-8580	6	10	k	k	ADJ
fcis-8580	6	11	-	-	ADJ
fcis-8580	6	12	core	core	NOUN
fcis-8580	6	13	decomposition	decomposition	NOUN
fcis-8580	6	14	is	be	AUX
fcis-8580	6	15	designed	design	VERB
fcis-8580	6	16	,	,	PUNCT
fcis-8580	6	17	and	and	CCONJ
fcis-8580	6	18	the	the	DET
fcis-8580	6	19	discrete	discrete	ADJ
fcis-8580	6	20	framework	framework	NOUN
fcis-8580	6	21	of	of	ADP
fcis-8580	6	22	multi	multi	ADJ
fcis-8580	6	23	-	-	ADJ
fcis-8580	6	24	objective	objective	ADJ
fcis-8580	6	25	particle	particle	NOUN
fcis-8580	6	26	swarm	swarm	NOUN
fcis-8580	6	27	optimization	optimization	NOUN
fcis-8580	6	28	algorithm	algorithm	NOUN
fcis-8580	6	29	is	be	AUX
fcis-8580	6	30	used	use	VERB
fcis-8580	6	31	to	to	PART
fcis-8580	6	32	optimize	optimize	VERB
fcis-8580	6	33	the	the	DET
fcis-8580	6	34	two	two	NUM
fcis-8580	6	35	objectives	objective	NOUN
fcis-8580	6	36	on	on	ADP
fcis-8580	6	37	the	the	DET
fcis-8580	6	38	basis	basis	NOUN
fcis-8580	6	39	of	of	ADP
fcis-8580	6	40	maximal	maximal	ADJ
fcis-8580	6	41	clique	clique	NOUN
fcis-8580	6	42	graph	graph	NOUN
fcis-8580	6	43	to	to	PART
fcis-8580	6	44	solve	solve	VERB
fcis-8580	6	45	the	the	DET
fcis-8580	6	46	problem	problem	NOUN
fcis-8580	6	47	of	of	ADP
fcis-8580	6	48	overlapping	overlap	VERB
fcis-8580	6	49	community	community	NOUN
fcis-8580	6	50	detection	detection	NOUN
fcis-8580	6	51	.	.	PUNCT
fcis-8580	7	1	in	in	ADP
fcis-8580	7	2	the	the	DET
fcis-8580	7	3	real	real	ADJ
fcis-8580	7	4	-	-	PUNCT
fcis-8580	7	5	world	world	NOUN
fcis-8580	7	6	network	network	NOUN
fcis-8580	7	7	,	,	PUNCT
fcis-8580	7	8	this	this	DET
fcis-8580	7	9	algorithm	algorithm	NOUN
fcis-8580	7	10	is	be	AUX
fcis-8580	7	11	compared	compare	VERB
fcis-8580	7	12	with	with	ADP
fcis-8580	7	13	similar	similar	ADJ
fcis-8580	7	14	community	community	NOUN
fcis-8580	7	15	detection	detection	NOUN
fcis-8580	7	16	algorithms	algorithm	NOUN
fcis-8580	7	17	.	.	PUNCT
fcis-8580	8	1	the	the	DET
fcis-8580	8	2	comparison	comparison	NOUN
fcis-8580	8	3	of	of	ADP
fcis-8580	8	4	the	the	DET
fcis-8580	8	5	evaluation	evaluation	NOUN
fcis-8580	8	6	indexe	indexe	PROPN
fcis-8580	8	7	shows	show	VERB
fcis-8580	8	8	that	that	SCONJ
fcis-8580	8	9	the	the	DET
fcis-8580	8	10	community	community	NOUN
fcis-8580	8	11	detection	detection	NOUN
fcis-8580	8	12	effect	effect	NOUN
fcis-8580	8	13	of	of	ADP
fcis-8580	8	14	this	this	DET
fcis-8580	8	15	algorithm	algorithm	NOUN
fcis-8580	8	16	is	be	AUX
fcis-8580	8	17	similar	similar	ADJ
fcis-8580	8	18	to	to	ADP
fcis-8580	8	19	that	that	PRON
fcis-8580	8	20	of	of	ADP
fcis-8580	8	21	similar	similar	ADJ
fcis-8580	8	22	algorithms	algorithm	NOUN
fcis-8580	8	23	,	,	PUNCT
fcis-8580	8	24	and	and	CCONJ
fcis-8580	8	25	has	have	VERB
fcis-8580	8	26	a	a	DET
fcis-8580	8	27	good	good	ADJ
fcis-8580	8	28	application	application	NOUN
fcis-8580	8	29	prospect	prospect	NOUN
fcis-8580	8	30	.	.	PUNCT
fcis-8580	9	1	keywords	keyword	NOUN
fcis-8580	9	2	:	:	PUNCT
fcis-8580	9	3	overlapping	overlap	VERB
fcis-8580	9	4	community	community	NOUN
fcis-8580	9	5	detection	detection	NOUN
fcis-8580	9	6	;	;	PUNCT
fcis-8580	9	7	evolutionary	evolutionary	ADJ
fcis-8580	9	8	algorithm	algorithm	NOUN
fcis-8580	9	9	;	;	PUNCT
fcis-8580	9	10	multi	multi	ADJ
fcis-8580	9	11	-	-	ADJ
fcis-8580	9	12	objective	objective	ADJ
fcis-8580	9	13	optimization	optimization	NOUN
fcis-8580	9	14	.	.	PUNCT
fcis-8580	10	1	1	1	X
fcis-8580	10	2	.	.	X
fcis-8580	10	3	introduction	introduction	NOUN
fcis-8580	10	4	in	in	ADP
fcis-8580	10	5	recent	recent	ADJ
fcis-8580	10	6	years	year	NOUN
fcis-8580	10	7	,	,	PUNCT
fcis-8580	10	8	more	more	ADJ
fcis-8580	10	9	and	and	CCONJ
fcis-8580	10	10	more	more	ADJ
fcis-8580	10	11	network	network	NOUN
fcis-8580	10	12	technology	technology	NOUN
fcis-8580	10	13	researchers	researcher	NOUN
fcis-8580	10	14	have	have	AUX
fcis-8580	10	15	modeled	model	VERB
fcis-8580	10	16	the	the	DET
fcis-8580	10	17	real	real	ADJ
fcis-8580	10	18	world	world	NOUN
fcis-8580	10	19	as	as	ADP
fcis-8580	10	20	a	a	DET
fcis-8580	10	21	complex	complex	ADJ
fcis-8580	10	22	network	network	NOUN
fcis-8580	10	23	.	.	PUNCT
fcis-8580	11	1	typical	typical	ADJ
fcis-8580	11	2	real	real	ADJ
fcis-8580	11	3	-	-	PUNCT
fcis-8580	11	4	world	world	NOUN
fcis-8580	11	5	complex	complex	ADJ
fcis-8580	11	6	networks	network	NOUN
fcis-8580	11	7	include	include	VERB
fcis-8580	11	8	the	the	DET
fcis-8580	11	9	world	world	NOUN
fcis-8580	11	10	wide	wide	ADJ
fcis-8580	11	11	web	web	NOUN
fcis-8580	11	12	,	,	PUNCT
fcis-8580	11	13	neural	neural	ADJ
fcis-8580	11	14	networks[1	networks[1	NUM
fcis-8580	11	15	]	]	PUNCT
fcis-8580	11	16	,	,	PUNCT
fcis-8580	11	17	biological	biological	ADJ
fcis-8580	11	18	networks[2	networks[2	PROPN
fcis-8580	11	19	]	]	PUNCT
fcis-8580	11	20	social	social	ADJ
fcis-8580	11	21	networks[3	networks[3	PROPN
fcis-8580	11	22	]	]	PUNCT
fcis-8580	11	23	and	and	CCONJ
fcis-8580	11	24	so	so	ADV
fcis-8580	11	25	on	on	ADV
fcis-8580	11	26	.	.	PUNCT
fcis-8580	12	1	these	these	DET
fcis-8580	12	2	complex	complex	ADJ
fcis-8580	12	3	networks	network	NOUN
fcis-8580	12	4	have	have	VERB
fcis-8580	12	5	profound	profound	ADJ
fcis-8580	12	6	research	research	NOUN
fcis-8580	12	7	value	value	NOUN
fcis-8580	12	8	,	,	PUNCT
fcis-8580	12	9	and	and	CCONJ
fcis-8580	12	10	people	people	NOUN
fcis-8580	12	11	hope	hope	VERB
fcis-8580	12	12	to	to	PART
fcis-8580	12	13	provide	provide	VERB
fcis-8580	12	14	solutions	solution	NOUN
fcis-8580	12	15	to	to	ADP
fcis-8580	12	16	real	real	ADJ
fcis-8580	12	17	-	-	PUNCT
fcis-8580	12	18	life	life	NOUN
fcis-8580	12	19	problems	problem	NOUN
fcis-8580	12	20	through	through	ADP
fcis-8580	12	21	the	the	DET
fcis-8580	12	22	study	study	NOUN
fcis-8580	12	23	of	of	ADP
fcis-8580	12	24	complex	complex	ADJ
fcis-8580	12	25	networks	network	NOUN
fcis-8580	12	26	,	,	PUNCT
fcis-8580	12	27	for	for	ADP
fcis-8580	12	28	example	example	NOUN
fcis-8580	12	29	,	,	PUNCT
fcis-8580	12	30	mining	mine	VERB
fcis-8580	12	31	the	the	DET
fcis-8580	12	32	key	key	ADJ
fcis-8580	12	33	gene	gene	NOUN
fcis-8580	12	34	modules	module	NOUN
fcis-8580	12	35	of	of	ADP
fcis-8580	12	36	cancer	cancer	NOUN
fcis-8580	12	37	,	,	PUNCT
fcis-8580	12	38	detecting	detect	VERB
fcis-8580	12	39	potential	potential	ADJ
fcis-8580	12	40	terrorists	terrorist	NOUN
fcis-8580	12	41	through	through	ADP
fcis-8580	12	42	interpersonal	interpersonal	ADJ
fcis-8580	12	43	networks	network	NOUN
fcis-8580	12	44	,	,	PUNCT
fcis-8580	12	45	simulating	simulate	VERB
fcis-8580	12	46	the	the	DET
fcis-8580	12	47	complex	complex	ADJ
fcis-8580	12	48	functions	function	NOUN
fcis-8580	12	49	of	of	ADP
fcis-8580	12	50	biological	biological	ADJ
fcis-8580	12	51	networks	network	NOUN
fcis-8580	12	52	to	to	PART
fcis-8580	12	53	solve	solve	VERB
fcis-8580	12	54	problems	problem	NOUN
fcis-8580	12	55	,	,	PUNCT
fcis-8580	12	56	and	and	CCONJ
fcis-8580	12	57	so	so	ADV
fcis-8580	12	58	on	on	ADV
fcis-8580	12	59	.	.	PUNCT
fcis-8580	13	1	researchers	researcher	NOUN
fcis-8580	13	2	usually	usually	ADV
fcis-8580	13	3	represent	represent	VERB
fcis-8580	13	4	the	the	DET
fcis-8580	13	5	individuals	individual	NOUN
fcis-8580	13	6	in	in	ADP
fcis-8580	13	7	the	the	DET
fcis-8580	13	8	network	network	NOUN
fcis-8580	13	9	as	as	ADP
fcis-8580	13	10	nodes	node	NOUN
fcis-8580	13	11	,	,	PUNCT
fcis-8580	13	12	and	and	CCONJ
fcis-8580	13	13	the	the	DET
fcis-8580	13	14	relationships	relationship	NOUN
fcis-8580	13	15	between	between	ADP
fcis-8580	13	16	individuals	individual	NOUN
fcis-8580	13	17	as	as	ADP
fcis-8580	13	18	the	the	DET
fcis-8580	13	19	edges	edge	NOUN
fcis-8580	13	20	of	of	ADP
fcis-8580	13	21	connected	connected	ADJ
fcis-8580	13	22	node[4	node[4	NOUN
fcis-8580	13	23	]	]	X
fcis-8580	13	24	.	.	PUNCT
fcis-8580	14	1	in	in	ADP
fcis-8580	14	2	a	a	DET
fcis-8580	14	3	complex	complex	ADJ
fcis-8580	14	4	network	network	NOUN
fcis-8580	14	5	,	,	PUNCT
fcis-8580	14	6	individuals	individual	NOUN
fcis-8580	14	7	gather	gather	VERB
fcis-8580	14	8	together	together	ADV
fcis-8580	14	9	to	to	PART
fcis-8580	14	10	form	form	VERB
fcis-8580	14	11	a	a	DET
fcis-8580	14	12	community	community	NOUN
fcis-8580	14	13	.	.	PUNCT
fcis-8580	15	1	network	network	NOUN
fcis-8580	15	2	community	community	NOUN
fcis-8580	15	3	structure	structure	NOUN
fcis-8580	15	4	detection	detection	NOUN
fcis-8580	15	5	,	,	PUNCT
fcis-8580	15	6	also	also	ADV
fcis-8580	15	7	known	know	VERB
fcis-8580	15	8	as	as	ADP
fcis-8580	15	9	network	network	NOUN
fcis-8580	15	10	clustering	clustering	NOUN
fcis-8580	15	11	,	,	PUNCT
fcis-8580	15	12	is	be	AUX
fcis-8580	15	13	a	a	DET
fcis-8580	15	14	technology	technology	NOUN
fcis-8580	15	15	to	to	PART
fcis-8580	15	16	reveal	reveal	VERB
fcis-8580	15	17	the	the	DET
fcis-8580	15	18	community	community	NOUN
fcis-8580	15	19	structure	structure	NOUN
fcis-8580	15	20	formed	form	VERB
fcis-8580	15	21	by	by	ADP
fcis-8580	15	22	network	network	NOUN
fcis-8580	15	23	aggregation	aggregation	NOUN
fcis-8580	15	24	.	.	PUNCT
fcis-8580	16	1	community	community	NOUN
fcis-8580	16	2	detection	detection	NOUN
fcis-8580	16	3	divides	divide	VERB
fcis-8580	16	4	the	the	DET
fcis-8580	16	5	network	network	NOUN
fcis-8580	16	6	into	into	ADP
fcis-8580	16	7	several	several	ADJ
fcis-8580	16	8	societies	society	NOUN
fcis-8580	16	9	,	,	PUNCT
fcis-8580	16	10	which	which	PRON
fcis-8580	16	11	is	be	AUX
fcis-8580	16	12	based	base	VERB
fcis-8580	16	13	on	on	ADP
fcis-8580	16	14	the	the	DET
fcis-8580	16	15	fact	fact	NOUN
fcis-8580	16	16	that	that	SCONJ
fcis-8580	16	17	the	the	DET
fcis-8580	16	18	edge	edge	NOUN
fcis-8580	16	19	connections	connection	NOUN
fcis-8580	16	20	between	between	ADP
fcis-8580	16	21	nodes	node	NOUN
fcis-8580	16	22	in	in	ADP
fcis-8580	16	23	the	the	DET
fcis-8580	16	24	same	same	ADJ
fcis-8580	16	25	community	community	NOUN
fcis-8580	16	26	should	should	AUX
fcis-8580	16	27	be	be	AUX
fcis-8580	16	28	tight	tight	ADJ
fcis-8580	16	29	,	,	PUNCT
fcis-8580	16	30	while	while	SCONJ
fcis-8580	16	31	the	the	DET
fcis-8580	16	32	edge	edge	NOUN
fcis-8580	16	33	connections	connection	NOUN
fcis-8580	16	34	between	between	ADP
fcis-8580	16	35	inter	inter	ADJ
fcis-8580	16	36	-	-	ADJ
fcis-8580	16	37	community	community	ADJ
fcis-8580	16	38	nodes	node	NOUN
fcis-8580	16	39	should	should	AUX
fcis-8580	16	40	be	be	AUX
fcis-8580	16	41	sparse[5	sparse[5	PROPN
fcis-8580	16	42	]	]	X
fcis-8580	16	43	.	.	PUNCT
fcis-8580	17	1	generally	generally	ADV
fcis-8580	17	2	speaking	speak	VERB
fcis-8580	17	3	,	,	PUNCT
fcis-8580	17	4	the	the	DET
fcis-8580	17	5	community	community	NOUN
fcis-8580	17	6	structure	structure	NOUN
fcis-8580	17	7	can	can	AUX
fcis-8580	17	8	be	be	AUX
fcis-8580	17	9	regarded	regard	VERB
fcis-8580	17	10	as	as	ADP
fcis-8580	17	11	a	a	DET
fcis-8580	17	12	collection	collection	NOUN
fcis-8580	17	13	of	of	ADP
fcis-8580	17	14	interconnected	interconnected	ADJ
fcis-8580	17	15	information	information	NOUN
fcis-8580	17	16	carriers	carrier	NOUN
fcis-8580	17	17	with	with	ADP
fcis-8580	17	18	the	the	DET
fcis-8580	17	19	same	same	ADJ
fcis-8580	17	20	or	or	CCONJ
fcis-8580	17	21	similar	similar	ADJ
fcis-8580	17	22	characteristics	characteristic	NOUN
fcis-8580	17	23	of	of	ADP
fcis-8580	17	24	some	some	DET
fcis-8580	17	25	owners	owner	NOUN
fcis-8580	17	26	.	.	PUNCT
fcis-8580	18	1	community	community	NOUN
fcis-8580	18	2	detection	detection	NOUN
fcis-8580	18	3	is	be	AUX
fcis-8580	18	4	helpful	helpful	ADJ
fcis-8580	18	5	for	for	SCONJ
fcis-8580	18	6	us	we	PRON
fcis-8580	18	7	to	to	PART
fcis-8580	18	8	study	study	VERB
fcis-8580	18	9	groups	group	NOUN
fcis-8580	18	10	with	with	ADP
fcis-8580	18	11	more	more	ADJ
fcis-8580	18	12	similarities	similarity	NOUN
fcis-8580	18	13	,	,	PUNCT
fcis-8580	18	14	infer	infer	VERB
fcis-8580	18	15	the	the	DET
fcis-8580	18	16	future	future	ADJ
fcis-8580	18	17	trend	trend	NOUN
fcis-8580	18	18	of	of	ADP
fcis-8580	18	19	research	research	NOUN
fcis-8580	18	20	objects	object	NOUN
fcis-8580	18	21	,	,	PUNCT
fcis-8580	18	22	and	and	CCONJ
fcis-8580	18	23	predict	predict	VERB
fcis-8580	18	24	the	the	DET
fcis-8580	18	25	nature	nature	NOUN
fcis-8580	18	26	or	or	CCONJ
fcis-8580	18	27	relationship	relationship	NOUN
fcis-8580	18	28	between	between	ADP
fcis-8580	18	29	groups	group	NOUN
fcis-8580	18	30	or	or	CCONJ
fcis-8580	18	31	individuals	individual	NOUN
fcis-8580	18	32	.	.	PUNCT
fcis-8580	19	1	community	community	NOUN
fcis-8580	19	2	detection	detection	NOUN
fcis-8580	19	3	is	be	AUX
fcis-8580	19	4	gradually	gradually	ADV
fcis-8580	19	5	developed	develop	VERB
fcis-8580	19	6	from	from	ADP
fcis-8580	19	7	the	the	DET
fcis-8580	19	8	early	early	ADJ
fcis-8580	19	9	graph	graph	NOUN
fcis-8580	19	10	division	division	NOUN
fcis-8580	19	11	and	and	CCONJ
fcis-8580	19	12	hierarchical	hierarchical	ADJ
fcis-8580	19	13	clustering	clustering	NOUN
fcis-8580	19	14	.	.	PUNCT
fcis-8580	20	1	the	the	DET
fcis-8580	20	2	analysis	analysis	NOUN
fcis-8580	20	3	and	and	CCONJ
fcis-8580	20	4	research	research	NOUN
fcis-8580	20	5	of	of	ADP
fcis-8580	20	6	community	community	NOUN
fcis-8580	20	7	structure	structure	NOUN
fcis-8580	20	8	has	have	VERB
fcis-8580	20	9	a	a	DET
fcis-8580	20	10	long	long	ADJ
fcis-8580	20	11	history	history	NOUN
fcis-8580	20	12	,	,	PUNCT
fcis-8580	20	13	and	and	CCONJ
fcis-8580	20	14	has	have	AUX
fcis-8580	20	15	evolved	evolve	VERB
fcis-8580	20	16	a	a	DET
fcis-8580	20	17	variety	variety	NOUN
fcis-8580	20	18	of	of	ADP
fcis-8580	20	19	different	different	ADJ
fcis-8580	20	20	algorithms	algorithm	NOUN
fcis-8580	20	21	.	.	PUNCT
fcis-8580	21	1	newman	newman	PROPN
fcis-8580	21	2	et	et	PROPN
fcis-8580	21	3	al	al	PROPN
fcis-8580	21	4	proposed	propose	VERB
fcis-8580	21	5	the	the	DET
fcis-8580	21	6	concept	concept	NOUN
fcis-8580	21	7	of	of	ADP
fcis-8580	21	8	community	community	NOUN
fcis-8580	21	9	for	for	ADP
fcis-8580	21	10	the	the	DET
fcis-8580	21	11	first	first	ADJ
fcis-8580	21	12	time	time	NOUN
fcis-8580	21	13	and	and	CCONJ
fcis-8580	21	14	gave	give	VERB
fcis-8580	21	15	a	a	DET
fcis-8580	21	16	top	top	ADJ
fcis-8580	21	17	-	-	PUNCT
fcis-8580	21	18	down	down	ADP
fcis-8580	21	19	hierarchical	hierarchical	ADJ
fcis-8580	21	20	clustering	clustering	NOUN
fcis-8580	21	21	method	method	NOUN
fcis-8580	21	22	gn	gn	PROPN
fcis-8580	21	23	algorithm	algorithm	PROPN
fcis-8580	21	24	.	.	PUNCT
fcis-8580	22	1	subsequently	subsequently	ADV
fcis-8580	22	2	,	,	PUNCT
fcis-8580	22	3	experts	expert	NOUN
fcis-8580	22	4	in	in	ADP
fcis-8580	22	5	different	different	ADJ
fcis-8580	22	6	fields	field	NOUN
fcis-8580	22	7	have	have	AUX
fcis-8580	22	8	proposed	propose	VERB
fcis-8580	22	9	a	a	DET
fcis-8580	22	10	lot	lot	NOUN
fcis-8580	22	11	of	of	ADP
fcis-8580	22	12	community	community	NOUN
fcis-8580	22	13	detection	detection	NOUN
fcis-8580	22	14	algorithms	algorithm	NOUN
fcis-8580	22	15	,	,	PUNCT
fcis-8580	22	16	these	these	DET
fcis-8580	22	17	algorithms	algorithm	NOUN
fcis-8580	22	18	can	can	AUX
fcis-8580	22	19	be	be	AUX
fcis-8580	22	20	divided	divide	VERB
fcis-8580	22	21	into	into	ADP
fcis-8580	22	22	the	the	DET
fcis-8580	22	23	following	follow	VERB
fcis-8580	22	24	categories	category	NOUN
fcis-8580	22	25	:	:	PUNCT
fcis-8580	22	26	methods	method	NOUN
fcis-8580	22	27	based	base	VERB
fcis-8580	22	28	on	on	ADP
fcis-8580	22	29	hierarchical	hierarchical	ADJ
fcis-8580	22	30	structure	structure	NOUN
fcis-8580	22	31	classification	classification	NOUN
fcis-8580	22	32	,	,	PUNCT
fcis-8580	22	33	methods	method	NOUN
fcis-8580	22	34	based	base	VERB
fcis-8580	22	35	on	on	ADP
fcis-8580	22	36	modularity	modularity	NOUN
fcis-8580	22	37	optimization	optimization	NOUN
fcis-8580	22	38	,	,	PUNCT
fcis-8580	22	39	spectral	spectral	ADJ
fcis-8580	22	40	clustering	clustering	ADJ
fcis-8580	22	41	methods	method	NOUN
fcis-8580	22	42	,	,	PUNCT
fcis-8580	22	43	random	random	ADJ
fcis-8580	22	44	walk	walk	NOUN
fcis-8580	22	45	and	and	CCONJ
fcis-8580	22	46	evolutionary	evolutionary	ADJ
fcis-8580	22	47	computing	computing	NOUN
fcis-8580	22	48	methods	method	NOUN
fcis-8580	22	49	.	.	PUNCT
fcis-8580	23	1	in	in	ADP
fcis-8580	23	2	the	the	DET
fcis-8580	23	3	traditional	traditional	ADJ
fcis-8580	23	4	network	network	NOUN
fcis-8580	23	5	clustering	cluster	VERB
fcis-8580	23	6	research	research	NOUN
fcis-8580	23	7	,	,	PUNCT
fcis-8580	23	8	the	the	DET
fcis-8580	23	9	above	above	ADJ
fcis-8580	23	10	community	community	NOUN
fcis-8580	23	11	detection	detection	NOUN
fcis-8580	23	12	methods	method	NOUN
fcis-8580	23	13	are	be	AUX
fcis-8580	23	14	mostly	mostly	ADV
fcis-8580	23	15	separated	separate	VERB
fcis-8580	23	16	community	community	NOUN
fcis-8580	23	17	detection	detection	NOUN
fcis-8580	23	18	without	without	ADP
fcis-8580	23	19	additional	additional	ADJ
fcis-8580	23	20	representation	representation	NOUN
fcis-8580	23	21	,	,	PUNCT
fcis-8580	23	22	that	that	ADV
fcis-8580	23	23	is	is	ADV
fcis-8580	23	24	,	,	PUNCT
fcis-8580	23	25	a	a	DET
fcis-8580	23	26	node	node	NOUN
fcis-8580	23	27	in	in	ADP
fcis-8580	23	28	the	the	DET
fcis-8580	23	29	graph	graph	NOUN
fcis-8580	23	30	can	can	AUX
fcis-8580	23	31	only	only	ADV
fcis-8580	23	32	belong	belong	VERB
fcis-8580	23	33	to	to	ADP
fcis-8580	23	34	one	one	NUM
fcis-8580	23	35	community	community	NOUN
fcis-8580	23	36	at	at	ADP
fcis-8580	23	37	the	the	DET
fcis-8580	23	38	same	same	ADJ
fcis-8580	23	39	time[6	time[6	NOUN
fcis-8580	23	40	]	]	PUNCT
fcis-8580	23	41	.	.	PUNCT
fcis-8580	24	1	in	in	ADP
fcis-8580	24	2	the	the	DET
fcis-8580	24	3	real	real	ADJ
fcis-8580	24	4	world	world	NOUN
fcis-8580	24	5	,	,	PUNCT
fcis-8580	24	6	however	however	ADV
fcis-8580	24	7	,	,	PUNCT
fcis-8580	24	8	clusters	cluster	NOUN
fcis-8580	24	9	often	often	ADV
fcis-8580	24	10	overlap[4	overlap[4	VERB
fcis-8580	24	11	]	]	PUNCT
fcis-8580	25	1	[	[	X
fcis-8580	25	2	7	7	NUM
fcis-8580	25	3	]	]	PUNCT
fcis-8580	25	4	.	.	PUNCT
fcis-8580	26	1	therefore	therefore	ADV
fcis-8580	26	2	,	,	PUNCT
fcis-8580	26	3	the	the	DET
fcis-8580	26	4	methods	method	NOUN
fcis-8580	26	5	of	of	ADP
fcis-8580	26	6	overlapping	overlap	VERB
fcis-8580	26	7	community	community	NOUN
fcis-8580	26	8	detection	detection	NOUN
fcis-8580	26	9	continue	continue	VERB
fcis-8580	26	10	to	to	PART
fcis-8580	26	11	appear	appear	VERB
fcis-8580	26	12	in	in	ADP
fcis-8580	26	13	recent	recent	ADJ
fcis-8580	26	14	years	year	NOUN
fcis-8580	26	15	.	.	PUNCT
fcis-8580	27	1	because	because	SCONJ
fcis-8580	27	2	of	of	ADP
fcis-8580	27	3	the	the	DET
fcis-8580	27	4	particularity	particularity	NOUN
fcis-8580	27	5	of	of	ADP
fcis-8580	27	6	the	the	DET
fcis-8580	27	7	structure	structure	NOUN
fcis-8580	27	8	,	,	PUNCT
fcis-8580	27	9	the	the	DET
fcis-8580	27	10	algorithm	algorithm	NOUN
fcis-8580	27	11	derived	derive	VERB
fcis-8580	27	12	from	from	ADP
fcis-8580	27	13	overlapping	overlap	VERB
fcis-8580	27	14	community	community	NOUN
fcis-8580	27	15	detection	detection	NOUN
fcis-8580	27	16	is	be	AUX
fcis-8580	27	17	quite	quite	ADV
fcis-8580	27	18	different	different	ADJ
fcis-8580	27	19	from	from	ADP
fcis-8580	27	20	that	that	PRON
fcis-8580	27	21	of	of	ADP
fcis-8580	27	22	separated	separate	VERB
fcis-8580	27	23	community	community	NOUN
fcis-8580	27	24	detection	detection	NOUN
fcis-8580	27	25	.	.	PUNCT
fcis-8580	28	1	the	the	DET
fcis-8580	28	2	main	main	ADJ
fcis-8580	28	3	methods	method	NOUN
fcis-8580	28	4	of	of	ADP
fcis-8580	28	5	overlapping	overlap	VERB
fcis-8580	28	6	community	community	NOUN
fcis-8580	28	7	detection	detection	NOUN
fcis-8580	28	8	include	include	VERB
fcis-8580	28	9	algorithm	algorithm	NOUN
fcis-8580	28	10	based	base	VERB
fcis-8580	28	11	on	on	ADP
fcis-8580	28	12	factional	factional	ADJ
fcis-8580	28	13	filtering	filtering	NOUN
fcis-8580	28	14	,	,	PUNCT
fcis-8580	28	15	algorithm	algorithm	NOUN
fcis-8580	28	16	based	base	VERB
fcis-8580	28	17	on	on	ADP
fcis-8580	28	18	local	local	ADJ
fcis-8580	28	19	extension	extension	NOUN
fcis-8580	28	20	,	,	PUNCT
fcis-8580	28	21	algorithm	algorithm	NOUN
fcis-8580	28	22	based	base	VERB
fcis-8580	28	23	on	on	ADP
fcis-8580	28	24	edge	edge	NOUN
fcis-8580	28	25	partition	partition	NOUN
fcis-8580	28	26	,	,	PUNCT
fcis-8580	28	27	algorithm	algorithm	NOUN
fcis-8580	28	28	based	base	VERB
fcis-8580	28	29	on	on	ADP
fcis-8580	28	30	fuzzy	fuzzy	ADJ
fcis-8580	28	31	detection	detection	NOUN
fcis-8580	28	32	,	,	PUNCT
fcis-8580	28	33	algorithm	algorithm	NOUN
fcis-8580	28	34	based	base	VERB
fcis-8580	28	35	on	on	ADP
fcis-8580	28	36	k	k	ADJ
fcis-8580	28	37	-	-	ADJ
fcis-8580	28	38	clique	clique	ADJ
fcis-8580	28	39	seepage	seepage	NOUN
fcis-8580	28	40	,	,	PUNCT
fcis-8580	28	41	overlapping	overlap	VERB
fcis-8580	28	42	community	community	NOUN
fcis-8580	28	43	detection	detection	NOUN
fcis-8580	28	44	algorithm	algorithm	NOUN
fcis-8580	28	45	based	base	VERB
fcis-8580	28	46	on	on	ADP
fcis-8580	28	47	local	local	ADJ
fcis-8580	28	48	expansion	expansion	NOUN
fcis-8580	28	49	and	and	CCONJ
fcis-8580	28	50	optimization	optimization	NOUN
fcis-8580	28	51	,	,	PUNCT
fcis-8580	28	52	and	and	CCONJ
fcis-8580	28	53	overlapping	overlap	VERB
fcis-8580	28	54	community	community	NOUN
fcis-8580	28	55	detection	detection	NOUN
fcis-8580	28	56	algorithm	algorithm	NOUN
fcis-8580	28	57	based	base	VERB
fcis-8580	28	58	on	on	ADP
fcis-8580	28	59	multi	multi	ADJ
fcis-8580	28	60	-	-	ADJ
fcis-8580	28	61	objective	objective	ADJ
fcis-8580	28	62	optimization	optimization	NOUN
fcis-8580	28	63	.	.	PUNCT
fcis-8580	29	1	among	among	ADP
fcis-8580	29	2	a	a	DET
fcis-8580	29	3	variety	variety	NOUN
fcis-8580	29	4	of	of	ADP
fcis-8580	29	5	algorithms	algorithm	NOUN
fcis-8580	29	6	,	,	PUNCT
fcis-8580	29	7	the	the	DET
fcis-8580	29	8	multi	multi	ADJ
fcis-8580	29	9	-	-	ADJ
fcis-8580	29	10	objective	objective	ADJ
fcis-8580	29	11	optimization	optimization	NOUN
fcis-8580	29	12	algorithm	algorithm	NOUN
fcis-8580	29	13	has	have	VERB
fcis-8580	29	14	a	a	DET
fcis-8580	29	15	strong	strong	ADJ
fcis-8580	29	16	advantage	advantage	NOUN
fcis-8580	29	17	in	in	ADP
fcis-8580	29	18	solving	solve	VERB
fcis-8580	29	19	the	the	DET
fcis-8580	29	20	problem	problem	NOUN
fcis-8580	29	21	of	of	ADP
fcis-8580	29	22	overlapping	overlap	VERB
fcis-8580	29	23	community	community	NOUN
fcis-8580	29	24	detection	detection	NOUN
fcis-8580	29	25	.	.	PUNCT
fcis-8580	30	1	because	because	SCONJ
fcis-8580	30	2	community	community	NOUN
fcis-8580	30	3	detection	detection	NOUN
fcis-8580	30	4	can	can	AUX
fcis-8580	30	5	be	be	AUX
fcis-8580	30	6	regarded	regard	VERB
fcis-8580	30	7	as	as	ADP
fcis-8580	30	8	the	the	DET
fcis-8580	30	9	objective	objective	ADJ
fcis-8580	30	10	optimization	optimization	NOUN
fcis-8580	30	11	problem	problem	NOUN
fcis-8580	30	12	of	of	ADP
fcis-8580	30	13	the	the	DET
fcis-8580	30	14	density	density	NOUN
fcis-8580	30	15	of	of	ADP
fcis-8580	30	16	inter	inter	ADJ
fcis-8580	30	17	-	-	ADJ
fcis-8580	30	18	community	community	ADJ
fcis-8580	30	19	links	link	NOUN
fcis-8580	30	20	in	in	ADP
fcis-8580	30	21	the	the	DET
fcis-8580	30	22	community	community	NOUN
fcis-8580	30	23	kernel	kernel	NOUN
fcis-8580	30	24	,	,	PUNCT
fcis-8580	30	25	and	and	CCONJ
fcis-8580	30	26	this	this	DET
fcis-8580	30	27	kind	kind	NOUN
fcis-8580	30	28	of	of	ADP
fcis-8580	30	29	problem	problem	NOUN
fcis-8580	30	30	is	be	AUX
fcis-8580	30	31	often	often	ADV
fcis-8580	30	32	a	a	DET
fcis-8580	30	33	np	np	ADV
fcis-8580	30	34	difficult	difficult	ADJ
fcis-8580	30	35	problem	problem	NOUN
fcis-8580	30	36	,	,	PUNCT
fcis-8580	30	37	which	which	PRON
fcis-8580	30	38	is	be	AUX
fcis-8580	30	39	difficult	difficult	ADJ
fcis-8580	30	40	to	to	PART
fcis-8580	30	41	be	be	AUX
fcis-8580	30	42	solved	solve	VERB
fcis-8580	30	43	by	by	ADP
fcis-8580	30	44	ordinary	ordinary	ADJ
fcis-8580	30	45	algorithms	algorithm	NOUN
fcis-8580	30	46	.	.	PUNCT
fcis-8580	31	1	therefore	therefore	ADV
fcis-8580	31	2	,	,	PUNCT
fcis-8580	31	3	many	many	ADJ
fcis-8580	31	4	scholars	scholar	NOUN
fcis-8580	31	5	introduce	introduce	VERB
fcis-8580	31	6	the	the	DET
fcis-8580	31	7	multi	multi	ADJ
fcis-8580	31	8	-	-	ADJ
fcis-8580	31	9	objective	objective	ADJ
fcis-8580	31	10	optimization	optimization	NOUN
fcis-8580	31	11	algorithm	algorithm	NOUN
fcis-8580	31	12	suitable	suitable	ADJ
fcis-8580	31	13	for	for	ADP
fcis-8580	31	14	solving	solve	VERB
fcis-8580	31	15	this	this	DET
fcis-8580	31	16	kind	kind	NOUN
fcis-8580	31	17	of	of	ADP
fcis-8580	31	18	problem	problem	NOUN
fcis-8580	31	19	into	into	ADP
fcis-8580	31	20	the	the	DET
fcis-8580	31	21	overlapping	overlap	VERB
fcis-8580	31	22	community	community	NOUN
fcis-8580	31	23	detection	detection	NOUN
fcis-8580	31	24	problem	problem	NOUN
fcis-8580	31	25	,	,	PUNCT
fcis-8580	31	26	such	such	ADJ
fcis-8580	31	27	as	as	ADP
fcis-8580	31	28	mcmoea[4	mcmoea[4	PROPN
fcis-8580	31	29	]	]	PUNCT
fcis-8580	31	30	,	,	PUNCT
fcis-8580	31	31	mr	mr	PROPN
fcis-8580	31	32	-	-	PUNCT
fcis-8580	31	33	moea[7	moea[7	PROPN
fcis-8580	31	34	]	]	PUNCT
fcis-8580	31	35	and	and	CCONJ
fcis-8580	31	36	so	so	ADV
fcis-8580	31	37	on	on	ADV
fcis-8580	31	38	,	,	PUNCT
fcis-8580	31	39	and	and	CCONJ
fcis-8580	31	40	achieved	achieve	VERB
fcis-8580	31	41	good	good	ADJ
fcis-8580	31	42	results	result	NOUN
fcis-8580	31	43	.	.	PUNCT
fcis-8580	32	1	scholars	scholar	NOUN
fcis-8580	32	2	generally	generally	ADV
fcis-8580	32	3	believe	believe	VERB
fcis-8580	32	4	that	that	SCONJ
fcis-8580	32	5	societies	society	NOUN
fcis-8580	32	6	should	should	AUX
fcis-8580	32	7	have	have	VERB
fcis-8580	32	8	dense	dense	ADJ
fcis-8580	32	9	internal	internal	ADJ
fcis-8580	32	10	connections	connection	NOUN
fcis-8580	32	11	and	and	CCONJ
fcis-8580	32	12	sparse	sparse	ADJ
fcis-8580	32	13	and	and	CCONJ
fcis-8580	32	14	inter	inter	ADJ
fcis-8580	32	15	-	-	NOUN
fcis-8580	32	16	group	group	NOUN
fcis-8580	32	17	connections	connection	NOUN
fcis-8580	32	18	,	,	PUNCT
fcis-8580	32	19	which	which	PRON
fcis-8580	32	20	means	mean	VERB
fcis-8580	32	21	that	that	SCONJ
fcis-8580	32	22	community	community	NOUN
fcis-8580	32	23	detection	detection	NOUN
fcis-8580	32	24	needs	need	VERB
fcis-8580	32	25	to	to	PART
fcis-8580	32	26	optimize	optimize	VERB
fcis-8580	32	27	two	two	NUM
fcis-8580	32	28	contradictory	contradictory	ADJ
fcis-8580	32	29	goals	goal	NOUN
fcis-8580	32	30	,	,	PUNCT
fcis-8580	32	31	namely	namely	ADV
fcis-8580	32	32	,	,	PUNCT
fcis-8580	32	33	maximize	maximize	VERB
fcis-8580	32	34	internal	internal	ADJ
fcis-8580	32	35	links	link	NOUN
fcis-8580	32	36	and	and	CCONJ
fcis-8580	32	37	minimize	minimize	VERB
fcis-8580	32	38	external	external	ADJ
fcis-8580	32	39	links[4	links[4	NOUN
fcis-8580	32	40	]	]	X
fcis-8580	32	41	.	.	PUNCT
fcis-8580	33	1	therefore	therefore	ADV
fcis-8580	33	2	,	,	PUNCT
fcis-8580	33	3	the	the	DET
fcis-8580	33	4	community	community	NOUN
fcis-8580	33	5	detection	detection	NOUN
fcis-8580	33	6	problem	problem	NOUN
fcis-8580	33	7	is	be	AUX
fcis-8580	33	8	transformed	transform	VERB
fcis-8580	33	9	into	into	ADP
fcis-8580	33	10	a	a	DET
fcis-8580	33	11	multi	multi	ADJ
fcis-8580	33	12	-	-	ADJ
fcis-8580	33	13	objective	objective	ADJ
fcis-8580	33	14	optimization	optimization	NOUN
fcis-8580	33	15	problem	problem	NOUN
fcis-8580	33	16	,	,	PUNCT
fcis-8580	33	17	111	111	NUM
fcis-8580	33	18	with	with	ADP
fcis-8580	33	19	these	these	DET
fcis-8580	33	20	two	two	NUM
fcis-8580	33	21	objectives	objective	NOUN
fcis-8580	33	22	as	as	ADP
fcis-8580	33	23	the	the	DET
fcis-8580	33	24	core	core	NOUN
fcis-8580	33	25	,	,	PUNCT
fcis-8580	33	26	there	there	PRON
fcis-8580	33	27	are	be	VERB
fcis-8580	33	28	specific	specific	ADJ
fcis-8580	33	29	objectives	objective	NOUN
fcis-8580	33	30	of	of	ADP
fcis-8580	33	31	different	different	ADJ
fcis-8580	33	32	representation	representation	NOUN
fcis-8580	33	33	methods	method	NOUN
fcis-8580	33	34	,	,	PUNCT
fcis-8580	33	35	among	among	ADP
fcis-8580	33	36	which	which	PRON
fcis-8580	33	37	kernel	kernel	PROPN
fcis-8580	33	38	k	k	X
fcis-8580	33	39	-	-	PUNCT
fcis-8580	33	40	means	means	PROPN
fcis-8580	33	41	(	(	PUNCT
fcis-8580	33	42	kkm)[8	kkm)[8	NOUN
fcis-8580	33	43	]	]	PUNCT
fcis-8580	33	44	and	and	CCONJ
fcis-8580	33	45	ratio	ratio	NOUN
fcis-8580	33	46	cut	cut	NOUN
fcis-8580	33	47	(	(	PUNCT
fcis-8580	33	48	rc)[9	rc)[9	PROPN
fcis-8580	33	49	]	]	X
fcis-8580	33	50	are	be	AUX
fcis-8580	33	51	derived	derive	VERB
fcis-8580	33	52	from	from	ADP
fcis-8580	33	53	machine	machine	NOUN
fcis-8580	33	54	learning	learning	NOUN
fcis-8580	33	55	algorithms	algorithm	NOUN
fcis-8580	33	56	.	.	PUNCT
fcis-8580	34	1	2	2	X
fcis-8580	34	2	.	.	X
fcis-8580	34	3	methodology	methodology	NOUN
fcis-8580	34	4	2.1	2.1	NUM
fcis-8580	34	5	.	.	PUNCT
fcis-8580	35	1	construction	construction	NOUN
fcis-8580	35	2	of	of	ADP
fcis-8580	35	3	maximal	maximal	ADJ
fcis-8580	35	4	clique	clique	NOUN
fcis-8580	35	5	graph	graph	NOUN
fcis-8580	35	6	based	base	VERB
fcis-8580	35	7	on	on	ADP
fcis-8580	35	8	k	k	ADJ
fcis-8580	35	9	-	-	PUNCT
fcis-8580	35	10	core	core	NOUN
fcis-8580	35	11	decomposition	decomposition	NOUN
fcis-8580	35	12	k	k	NOUN
fcis-8580	35	13	-	-	PUNCT
fcis-8580	35	14	core	core	NOUN
fcis-8580	35	15	is	be	AUX
fcis-8580	35	16	a	a	DET
fcis-8580	35	17	subgraph	subgraph	NOUN
fcis-8580	35	18	of	of	ADP
fcis-8580	35	19	a	a	DET
fcis-8580	35	20	graph	graph	NOUN
fcis-8580	35	21	g	g	NOUN
fcis-8580	35	22	,	,	PUNCT
fcis-8580	35	23	where	where	SCONJ
fcis-8580	35	24	the	the	DET
fcis-8580	35	25	degree	degree	NOUN
fcis-8580	35	26	of	of	ADP
fcis-8580	35	27	each	each	DET
fcis-8580	35	28	vertex	vertex	NOUN
fcis-8580	35	29	in	in	ADP
fcis-8580	35	30	the	the	DET
fcis-8580	35	31	subgraph	subgraph	NOUN
fcis-8580	35	32	is	be	AUX
fcis-8580	35	33	at	at	ADP
fcis-8580	35	34	least	least	ADJ
fcis-8580	35	35	k.	k.	NOUN
fcis-8580	36	1	while	while	SCONJ
fcis-8580	36	2	k	k	PROPN
fcis-8580	36	3	-	-	NOUN
fcis-8580	36	4	clique	clique	NOUN
fcis-8580	36	5	is	be	AUX
fcis-8580	36	6	that	that	SCONJ
fcis-8580	36	7	k	k	PROPN
fcis-8580	36	8	nodes	node	NOUN
fcis-8580	36	9	are	be	AUX
fcis-8580	36	10	connected	connect	VERB
fcis-8580	36	11	to	to	ADP
fcis-8580	36	12	each	each	DET
fcis-8580	36	13	other	other	ADJ
fcis-8580	36	14	,	,	PUNCT
fcis-8580	36	15	then	then	ADV
fcis-8580	36	16	each	each	DET
fcis-8580	36	17	node	node	NOUN
fcis-8580	36	18	must	must	AUX
fcis-8580	36	19	have	have	VERB
fcis-8580	36	20	a	a	DET
fcis-8580	36	21	degree	degree	NOUN
fcis-8580	36	22	of	of	ADP
fcis-8580	36	23	at	at	ADP
fcis-8580	36	24	least	least	ADJ
fcis-8580	36	25	k-1	k-1	PROPN
fcis-8580	36	26	,	,	PUNCT
fcis-8580	36	27	so	so	ADV
fcis-8580	36	28	kclique	kclique	NOUN
fcis-8580	36	29	must	must	AUX
fcis-8580	36	30	be	be	AUX
fcis-8580	36	31	a	a	DET
fcis-8580	36	32	subgraph	subgraph	NOUN
fcis-8580	36	33	of	of	ADP
fcis-8580	36	34	(	(	PUNCT
fcis-8580	36	35	k1)-core	k1)-core	PROPN
fcis-8580	36	36	,	,	PUNCT
fcis-8580	36	37	so	so	SCONJ
fcis-8580	36	38	we	we	PRON
fcis-8580	36	39	can	can	AUX
fcis-8580	36	40	search	search	VERB
fcis-8580	36	41	for	for	ADP
fcis-8580	36	42	the	the	DET
fcis-8580	36	43	maximum	maximum	ADJ
fcis-8580	36	44	k	k	NOUN
fcis-8580	36	45	-	-	NOUN
fcis-8580	36	46	clique	clique	NOUN
fcis-8580	36	47	of	of	ADP
fcis-8580	36	48	each	each	DET
fcis-8580	36	49	node	node	NOUN
fcis-8580	36	50	in	in	ADP
fcis-8580	36	51	the	the	DET
fcis-8580	36	52	subgraph	subgraph	NOUN
fcis-8580	36	53	of	of	ADP
fcis-8580	36	54	k	k	ADJ
fcis-8580	36	55	-	-	PUNCT
fcis-8580	36	56	core	core	NOUN
fcis-8580	36	57	decomposition	decomposition	NOUN
fcis-8580	36	58	.	.	PUNCT
fcis-8580	37	1	as	as	SCONJ
fcis-8580	37	2	shown	show	VERB
fcis-8580	37	3	in	in	ADP
fcis-8580	37	4	figure	figure	NOUN
fcis-8580	37	5	1	1	NUM
fcis-8580	37	6	,	,	PUNCT
fcis-8580	37	7	the	the	DET
fcis-8580	37	8	degree	degree	NOUN
fcis-8580	37	9	of	of	ADP
fcis-8580	37	10	the	the	DET
fcis-8580	37	11	11	11	NUM
fcis-8580	37	12	nodes	node	NOUN
fcis-8580	37	13	that	that	PRON
fcis-8580	37	14	make	make	VERB
fcis-8580	37	15	up	up	ADP
fcis-8580	37	16	the	the	DET
fcis-8580	37	17	network	network	NOUN
fcis-8580	37	18	is	be	AUX
fcis-8580	37	19	greater	great	ADJ
fcis-8580	37	20	than	than	ADP
fcis-8580	37	21	or	or	CCONJ
fcis-8580	37	22	equal	equal	ADJ
fcis-8580	37	23	to	to	ADP
fcis-8580	37	24	2	2	NUM
fcis-8580	37	25	,	,	PUNCT
fcis-8580	37	26	so	so	ADV
fcis-8580	37	27	the	the	DET
fcis-8580	37	28	whole	whole	ADJ
fcis-8580	37	29	network	network	NOUN
fcis-8580	37	30	is	be	AUX
fcis-8580	37	31	2	2	NUM
fcis-8580	37	32	-	-	PUNCT
fcis-8580	37	33	core	core	NOUN
fcis-8580	37	34	.	.	PUNCT
fcis-8580	38	1	among	among	ADP
fcis-8580	38	2	them	they	PRON
fcis-8580	38	3	,	,	PUNCT
fcis-8580	38	4	the	the	DET
fcis-8580	38	5	nodes	node	NOUN
fcis-8580	38	6	{	{	PUNCT
fcis-8580	38	7	1	1	NUM
fcis-8580	38	8	,	,	PUNCT
fcis-8580	38	9	2	2	NUM
fcis-8580	38	10	,	,	PUNCT
fcis-8580	38	11	3	3	NUM
fcis-8580	38	12	,	,	PUNCT
fcis-8580	38	13	4	4	NUM
fcis-8580	38	14	,	,	PUNCT
fcis-8580	38	15	5	5	NUM
fcis-8580	38	16	,	,	PUNCT
fcis-8580	38	17	6	6	NUM
fcis-8580	38	18	,	,	PUNCT
fcis-8580	38	19	7	7	NUM
fcis-8580	38	20	,	,	PUNCT
fcis-8580	38	21	8	8	NUM
fcis-8580	38	22	}	}	PUNCT
fcis-8580	38	23	constitute	constitute	VERB
fcis-8580	38	24	a	a	DET
fcis-8580	38	25	3core	3core	NUM
fcis-8580	38	26	,	,	PUNCT
fcis-8580	38	27	while	while	SCONJ
fcis-8580	38	28	the	the	DET
fcis-8580	38	29	node	node	NOUN
fcis-8580	38	30	set	set	NOUN
fcis-8580	38	31	{	{	PUNCT
fcis-8580	38	32	1	1	NUM
fcis-8580	38	33	,	,	PUNCT
fcis-8580	38	34	2	2	NUM
fcis-8580	38	35	,	,	PUNCT
fcis-8580	38	36	3	3	NUM
fcis-8580	38	37	,	,	PUNCT
fcis-8580	38	38	4	4	NUM
fcis-8580	38	39	}	}	PUNCT
fcis-8580	38	40	and	and	CCONJ
fcis-8580	38	41	{	{	PUNCT
fcis-8580	38	42	5	5	NUM
fcis-8580	38	43	,	,	PUNCT
fcis-8580	38	44	6	6	NUM
fcis-8580	38	45	,	,	PUNCT
fcis-8580	38	46	7	7	NUM
fcis-8580	38	47	,	,	PUNCT
fcis-8580	38	48	8	8	NUM
fcis-8580	38	49	}	}	PUNCT
fcis-8580	38	50	are	be	AUX
fcis-8580	38	51	two	two	NUM
fcis-8580	38	52	4	4	NUM
fcis-8580	38	53	-	-	PUNCT
fcis-8580	38	54	clique	clique	NOUN
fcis-8580	38	55	.	.	PUNCT
fcis-8580	39	1	figure	figure	NOUN
fcis-8580	39	2	1	1	NUM
fcis-8580	39	3	.	.	PUNCT
fcis-8580	39	4	schematic	schematic	ADJ
fcis-8580	39	5	diagram	diagram	NOUN
fcis-8580	39	6	of	of	ADP
fcis-8580	39	7	the	the	DET
fcis-8580	39	8	relationship	relationship	NOUN
fcis-8580	39	9	between	between	ADP
fcis-8580	39	10	k	k	NOUN
fcis-8580	39	11	-	-	PUNCT
fcis-8580	39	12	core	core	NOUN
fcis-8580	39	13	and	and	CCONJ
fcis-8580	39	14	k	k	NOUN
fcis-8580	39	15	-	-	NOUN
fcis-8580	39	16	clique	clique	NOUN
fcis-8580	39	17	therefore	therefore	ADV
fcis-8580	39	18	,	,	PUNCT
fcis-8580	39	19	the	the	DET
fcis-8580	39	20	k	k	ADJ
fcis-8580	39	21	-	-	PUNCT
fcis-8580	39	22	core	core	NOUN
fcis-8580	39	23	decomposition	decomposition	NOUN
fcis-8580	39	24	graph	graph	NOUN
fcis-8580	39	25	is	be	AUX
fcis-8580	39	26	adopted	adopt	VERB
fcis-8580	39	27	,	,	PUNCT
fcis-8580	39	28	and	and	CCONJ
fcis-8580	39	29	the	the	DET
fcis-8580	39	30	k	k	PROPN
fcis-8580	39	31	values	value	NOUN
fcis-8580	39	32	of	of	ADP
fcis-8580	39	33	all	all	DET
fcis-8580	39	34	k	k	NOUN
fcis-8580	39	35	-	-	NOUN
fcis-8580	39	36	core	core	NOUN
fcis-8580	39	37	in	in	ADP
fcis-8580	39	38	the	the	DET
fcis-8580	39	39	graph	graph	NOUN
fcis-8580	39	40	are	be	AUX
fcis-8580	39	41	arranged	arrange	VERB
fcis-8580	39	42	from	from	ADP
fcis-8580	39	43	large	large	ADJ
fcis-8580	39	44	to	to	ADP
fcis-8580	39	45	small	small	ADJ
fcis-8580	39	46	.	.	PUNCT
fcis-8580	40	1	for	for	ADP
fcis-8580	40	2	each	each	DET
fcis-8580	40	3	k	k	ADJ
fcis-8580	40	4	-	-	PUNCT
fcis-8580	40	5	core	core	ADJ
fcis-8580	40	6	subgraph	subgraph	NOUN
fcis-8580	40	7	,	,	PUNCT
fcis-8580	40	8	the	the	DET
fcis-8580	40	9	maximal	maximal	ADJ
fcis-8580	40	10	clique	clique	NOUN
fcis-8580	40	11	graph	graph	NOUN
fcis-8580	40	12	search	search	NOUN
fcis-8580	40	13	strategy	strategy	NOUN
fcis-8580	40	14	is	be	AUX
fcis-8580	40	15	used	use	VERB
fcis-8580	40	16	to	to	PART
fcis-8580	40	17	find	find	VERB
fcis-8580	40	18	the	the	DET
fcis-8580	40	19	node	node	NOUN
fcis-8580	40	20	subgraph[4	subgraph[4	NOUN
fcis-8580	40	21	]	]	PUNCT
fcis-8580	40	22	.	.	PUNCT
fcis-8580	41	1	the	the	DET
fcis-8580	41	2	maximum	maximum	ADJ
fcis-8580	41	3	clique	clique	ADJ
fcis-8580	41	4	problem	problem	NOUN
fcis-8580	41	5	of	of	ADP
fcis-8580	41	6	each	each	DET
fcis-8580	41	7	node	node	NOUN
fcis-8580	41	8	is	be	AUX
fcis-8580	41	9	a	a	DET
fcis-8580	41	10	complete	complete	ADJ
fcis-8580	41	11	np	np	INTJ
fcis-8580	41	12	problem	problem	NOUN
fcis-8580	41	13	,	,	PUNCT
fcis-8580	41	14	so	so	CCONJ
fcis-8580	41	15	the	the	DET
fcis-8580	41	16	subgraph	subgraph	NOUN
fcis-8580	41	17	decomposed	decompose	VERB
fcis-8580	41	18	by	by	ADP
fcis-8580	41	19	k	k	PROPN
fcis-8580	41	20	-	-	NOUN
fcis-8580	41	21	core	core	NOUN
fcis-8580	41	22	can	can	AUX
fcis-8580	41	23	reduce	reduce	VERB
fcis-8580	41	24	the	the	DET
fcis-8580	41	25	node	node	ADJ
fcis-8580	41	26	dimension	dimension	NOUN
fcis-8580	41	27	and	and	CCONJ
fcis-8580	41	28	speed	speed	VERB
fcis-8580	41	29	up	up	ADP
fcis-8580	41	30	the	the	DET
fcis-8580	41	31	search	search	NOUN
fcis-8580	41	32	speed	speed	NOUN
fcis-8580	41	33	.	.	PUNCT
fcis-8580	42	1	moreover	moreover	ADV
fcis-8580	42	2	,	,	PUNCT
fcis-8580	42	3	when	when	SCONJ
fcis-8580	42	4	the	the	PRON
fcis-8580	42	5	is	be	AUX
fcis-8580	42	6	large	large	ADJ
fcis-8580	42	7	,	,	PUNCT
fcis-8580	42	8	although	although	SCONJ
fcis-8580	42	9	the	the	DET
fcis-8580	42	10	amount	amount	NOUN
fcis-8580	42	11	of	of	ADP
fcis-8580	42	12	calculation	calculation	NOUN
fcis-8580	42	13	of	of	ADP
fcis-8580	42	14	the	the	DET
fcis-8580	42	15	connected	connected	ADJ
fcis-8580	42	16	edge	edge	NOUN
fcis-8580	42	17	is	be	AUX
fcis-8580	42	18	large	large	ADJ
fcis-8580	42	19	,	,	PUNCT
fcis-8580	42	20	the	the	DET
fcis-8580	42	21	number	number	NOUN
fcis-8580	42	22	of	of	ADP
fcis-8580	42	23	nodes	node	NOUN
fcis-8580	42	24	is	be	AUX
fcis-8580	42	25	small	small	ADJ
fcis-8580	42	26	.	.	PUNCT
fcis-8580	43	1	in	in	ADP
fcis-8580	43	2	the	the	DET
fcis-8580	43	3	case	case	NOUN
fcis-8580	43	4	of	of	ADP
fcis-8580	43	5	k=1	k=1	PROPN
fcis-8580	43	6	,	,	PUNCT
fcis-8580	43	7	although	although	SCONJ
fcis-8580	43	8	the	the	DET
fcis-8580	43	9	subgraph	subgraph	NOUN
fcis-8580	43	10	is	be	AUX
fcis-8580	43	11	the	the	DET
fcis-8580	43	12	original	original	ADJ
fcis-8580	43	13	graph	graph	NOUN
fcis-8580	43	14	and	and	CCONJ
fcis-8580	43	15	the	the	DET
fcis-8580	43	16	number	number	NOUN
fcis-8580	43	17	of	of	ADP
fcis-8580	43	18	nodes	node	NOUN
fcis-8580	43	19	is	be	AUX
fcis-8580	43	20	not	not	PART
fcis-8580	43	21	reduced	reduce	VERB
fcis-8580	43	22	,	,	PUNCT
fcis-8580	43	23	it	it	PRON
fcis-8580	43	24	is	be	AUX
fcis-8580	43	25	only	only	ADV
fcis-8580	43	26	necessary	necessary	ADJ
fcis-8580	43	27	to	to	PART
fcis-8580	43	28	calculate	calculate	VERB
fcis-8580	43	29	the	the	DET
fcis-8580	43	30	2	2	NUM
fcis-8580	43	31	-	-	PUNCT
fcis-8580	43	32	clique	clique	NOUN
fcis-8580	43	33	of	of	ADP
fcis-8580	43	34	previously	previously	ADV
fcis-8580	43	35	unassigned	unassigned	ADJ
fcis-8580	43	36	nodes	node	NOUN
fcis-8580	43	37	,	,	PUNCT
fcis-8580	43	38	which	which	PRON
fcis-8580	43	39	is	be	AUX
fcis-8580	43	40	less	less	ADV
fcis-8580	43	41	difficult	difficult	ADJ
fcis-8580	43	42	to	to	PART
fcis-8580	43	43	calculate	calculate	VERB
fcis-8580	43	44	.	.	PUNCT
fcis-8580	44	1	generally	generally	ADV
fcis-8580	44	2	speaking	speak	VERB
fcis-8580	44	3	,	,	PUNCT
fcis-8580	44	4	the	the	DET
fcis-8580	44	5	maximal	maximal	ADJ
fcis-8580	44	6	clique	clique	NOUN
fcis-8580	44	7	graph	graph	NOUN
fcis-8580	44	8	mining	mining	NOUN
fcis-8580	44	9	method	method	NOUN
fcis-8580	44	10	based	base	VERB
fcis-8580	44	11	on	on	ADP
fcis-8580	44	12	k	k	ADJ
fcis-8580	44	13	-	-	ADJ
fcis-8580	44	14	core	core	NOUN
fcis-8580	44	15	decomposition	decomposition	NOUN
fcis-8580	44	16	has	have	VERB
fcis-8580	44	17	relatively	relatively	ADV
fcis-8580	44	18	stable	stable	ADJ
fcis-8580	44	19	performance	performance	NOUN
fcis-8580	44	20	.	.	PUNCT
fcis-8580	45	1	after	after	ADP
fcis-8580	45	2	obtaining	obtain	VERB
fcis-8580	45	3	the	the	DET
fcis-8580	45	4	maximum	maximum	ADJ
fcis-8580	45	5	clique	clique	NOUN
fcis-8580	45	6	to	to	PART
fcis-8580	45	7	which	which	PRON
fcis-8580	45	8	each	each	DET
fcis-8580	45	9	node	node	NOUN
fcis-8580	45	10	belongs	belong	VERB
fcis-8580	45	11	,	,	PUNCT
fcis-8580	45	12	considering	consider	VERB
fcis-8580	45	13	the	the	DET
fcis-8580	45	14	overlapping	overlap	VERB
fcis-8580	45	15	nodes	node	NOUN
fcis-8580	45	16	,	,	PUNCT
fcis-8580	45	17	overlapping	overlap	VERB
fcis-8580	45	18	edges	edge	NOUN
fcis-8580	45	19	and	and	CCONJ
fcis-8580	45	20	connected	connected	ADJ
fcis-8580	45	21	edges	edge	NOUN
fcis-8580	45	22	in	in	ADP
fcis-8580	45	23	the	the	DET
fcis-8580	45	24	clique	clique	NOUN
fcis-8580	45	25	nodes	node	NOUN
fcis-8580	45	26	,	,	PUNCT
fcis-8580	45	27	the	the	DET
fcis-8580	45	28	edges	edge	NOUN
fcis-8580	45	29	of	of	ADP
fcis-8580	45	30	the	the	DET
fcis-8580	45	31	maximal	maximal	ADJ
fcis-8580	45	32	clique	clique	NOUN
fcis-8580	45	33	graph	graph	NOUN
fcis-8580	45	34	are	be	AUX
fcis-8580	45	35	constructed	construct	VERB
fcis-8580	45	36	,	,	PUNCT
fcis-8580	45	37	and	and	CCONJ
fcis-8580	45	38	after	after	ADP
fcis-8580	45	39	filtering	filter	VERB
fcis-8580	45	40	out	out	ADP
fcis-8580	45	41	the	the	DET
fcis-8580	45	42	noise	noise	NOUN
fcis-8580	45	43	,	,	PUNCT
fcis-8580	45	44	the	the	DET
fcis-8580	45	45	maximal	maximal	ADJ
fcis-8580	45	46	clique	clique	NOUN
fcis-8580	45	47	graph	graph	NOUN
fcis-8580	45	48	with	with	ADP
fcis-8580	45	49	maximal	maximal	ADJ
fcis-8580	45	50	clique	clique	NOUN
fcis-8580	45	51	nodes	node	NOUN
fcis-8580	45	52	is	be	AUX
fcis-8580	45	53	obtained[4	obtained[4	NOUN
fcis-8580	45	54	]	]	X
fcis-8580	45	55	.	.	PUNCT
fcis-8580	46	1	in	in	ADP
fcis-8580	46	2	the	the	DET
fcis-8580	46	3	edge	edge	NOUN
fcis-8580	46	4	noise	noise	NOUN
fcis-8580	46	5	filtering	filtering	NOUN
fcis-8580	46	6	method	method	NOUN
fcis-8580	46	7	,	,	PUNCT
fcis-8580	46	8	the	the	DET
fcis-8580	46	9	threshold	threshold	NOUN
fcis-8580	46	10	which	which	PRON
fcis-8580	46	11	can	can	AUX
fcis-8580	46	12	get	get	VERB
fcis-8580	46	13	the	the	DET
fcis-8580	46	14	maximum	maximum	ADJ
fcis-8580	46	15	modularity	modularity	NOUN
fcis-8580	46	16	is	be	AUX
fcis-8580	46	17	selected	select	VERB
fcis-8580	46	18	.	.	PUNCT
fcis-8580	47	1	the	the	DET
fcis-8580	47	2	node	node	NOUN
fcis-8580	47	3	of	of	ADP
fcis-8580	47	4	a	a	DET
fcis-8580	47	5	maximal	maximal	ADJ
fcis-8580	47	6	clique	clique	NOUN
fcis-8580	47	7	graph	graph	NOUN
fcis-8580	47	8	itself	itself	PRON
fcis-8580	47	9	contains	contain	VERB
fcis-8580	47	10	multiple	multiple	ADJ
fcis-8580	47	11	nodes	node	NOUN
fcis-8580	47	12	,	,	PUNCT
fcis-8580	47	13	and	and	CCONJ
fcis-8580	47	14	a	a	DET
fcis-8580	47	15	single	single	ADJ
fcis-8580	47	16	original	original	ADJ
fcis-8580	47	17	node	node	NOUN
fcis-8580	47	18	can	can	AUX
fcis-8580	47	19	be	be	AUX
fcis-8580	47	20	subordinate	subordinate	ADJ
fcis-8580	47	21	to	to	ADP
fcis-8580	47	22	multiple	multiple	ADJ
fcis-8580	47	23	maximal	maximal	ADJ
fcis-8580	47	24	cliques	clique	NOUN
fcis-8580	47	25	,	,	PUNCT
fcis-8580	47	26	which	which	PRON
fcis-8580	47	27	completes	complete	VERB
fcis-8580	47	28	the	the	DET
fcis-8580	47	29	overlapping	overlap	VERB
fcis-8580	47	30	representation	representation	NOUN
fcis-8580	47	31	of	of	ADP
fcis-8580	47	32	nodes	node	NOUN
fcis-8580	47	33	.	.	PUNCT
fcis-8580	48	1	2.2	2.2	NUM
fcis-8580	48	2	.	.	PUNCT
fcis-8580	49	1	multi	multi	ADJ
fcis-8580	49	2	-	-	ADJ
fcis-8580	49	3	objective	objective	ADJ
fcis-8580	49	4	optimization	optimization	NOUN
fcis-8580	49	5	framework	framework	NOUN
fcis-8580	49	6	in	in	ADP
fcis-8580	49	7	traditional	traditional	ADJ
fcis-8580	49	8	algorithms	algorithm	NOUN
fcis-8580	49	9	,	,	PUNCT
fcis-8580	49	10	many	many	ADJ
fcis-8580	49	11	initializations	initialization	NOUN
fcis-8580	49	12	are	be	AUX
fcis-8580	49	13	random	random	ADJ
fcis-8580	49	14	initialization	initialization	NOUN
fcis-8580	49	15	,	,	PUNCT
fcis-8580	49	16	that	that	ADV
fcis-8580	49	17	is	is	ADV
fcis-8580	49	18	,	,	PUNCT
fcis-8580	49	19	random	random	ADJ
fcis-8580	49	20	numbers	number	NOUN
fcis-8580	49	21	are	be	AUX
fcis-8580	49	22	generated	generate	VERB
fcis-8580	49	23	,	,	PUNCT
fcis-8580	49	24	which	which	PRON
fcis-8580	49	25	leads	lead	VERB
fcis-8580	49	26	to	to	ADP
fcis-8580	49	27	the	the	DET
fcis-8580	49	28	confusion	confusion	NOUN
fcis-8580	49	29	of	of	ADP
fcis-8580	49	30	the	the	DET
fcis-8580	49	31	whole	whole	ADJ
fcis-8580	49	32	network	network	NOUN
fcis-8580	49	33	division	division	NOUN
fcis-8580	49	34	at	at	ADP
fcis-8580	49	35	the	the	DET
fcis-8580	49	36	beginning	beginning	NOUN
fcis-8580	49	37	stage	stage	NOUN
fcis-8580	49	38	,	,	PUNCT
fcis-8580	49	39	the	the	DET
fcis-8580	49	40	lack	lack	NOUN
fcis-8580	49	41	of	of	ADP
fcis-8580	49	42	diversity	diversity	NOUN
fcis-8580	49	43	of	of	ADP
fcis-8580	49	44	the	the	DET
fcis-8580	49	45	population	population	NOUN
fcis-8580	49	46	,	,	PUNCT
fcis-8580	49	47	and	and	CCONJ
fcis-8580	49	48	the	the	DET
fcis-8580	49	49	low	low	ADJ
fcis-8580	49	50	quality	quality	NOUN
fcis-8580	49	51	of	of	ADP
fcis-8580	49	52	each	each	DET
fcis-8580	49	53	solution	solution	NOUN
fcis-8580	49	54	,	,	PUNCT
fcis-8580	49	55	which	which	PRON
fcis-8580	49	56	slows	slow	VERB
fcis-8580	49	57	down	down	ADP
fcis-8580	49	58	the	the	DET
fcis-8580	49	59	speed	speed	NOUN
fcis-8580	49	60	of	of	ADP
fcis-8580	49	61	calculation	calculation	NOUN
fcis-8580	49	62	.	.	PUNCT
fcis-8580	50	1	the	the	PRON
fcis-8580	50	2	closer	close	ADJ
fcis-8580	50	3	it	it	PRON
fcis-8580	50	4	is	be	AUX
fcis-8580	50	5	to	to	ADP
fcis-8580	50	6	the	the	DET
fcis-8580	50	7	initialization	initialization	NOUN
fcis-8580	50	8	of	of	ADP
fcis-8580	50	9	the	the	DET
fcis-8580	50	10	real	real	ADJ
fcis-8580	50	11	network	network	NOUN
fcis-8580	50	12	partition	partition	NOUN
fcis-8580	50	13	,	,	PUNCT
fcis-8580	50	14	the	the	PRON
fcis-8580	50	15	better	well	ADJ
fcis-8580	50	16	the	the	DET
fcis-8580	50	17	performance	performance	NOUN
fcis-8580	50	18	of	of	ADP
fcis-8580	50	19	the	the	DET
fcis-8580	50	20	algorithm	algorithm	NOUN
fcis-8580	50	21	.	.	PUNCT
fcis-8580	51	1	a	a	DET
fcis-8580	51	2	commonly	commonly	ADV
fcis-8580	51	3	used	use	VERB
fcis-8580	51	4	population	population	NOUN
fcis-8580	51	5	initialization	initialization	NOUN
fcis-8580	51	6	method	method	NOUN
fcis-8580	51	7	is	be	AUX
fcis-8580	51	8	label	label	NOUN
fcis-8580	51	9	propagation	propagation	NOUN
fcis-8580	51	10	,	,	PUNCT
fcis-8580	51	11	which	which	PRON
fcis-8580	51	12	assigns	assign	VERB
fcis-8580	51	13	the	the	DET
fcis-8580	51	14	largest	large	ADJ
fcis-8580	51	15	number	number	NOUN
fcis-8580	51	16	of	of	ADP
fcis-8580	51	17	tags	tag	NOUN
fcis-8580	51	18	in	in	ADP
fcis-8580	51	19	neighbors	neighbor	NOUN
fcis-8580	51	20	to	to	ADP
fcis-8580	51	21	each	each	DET
fcis-8580	51	22	node	node	NOUN
fcis-8580	51	23	.	.	PUNCT
fcis-8580	52	1	however	however	ADV
fcis-8580	52	2	,	,	PUNCT
fcis-8580	52	3	the	the	DET
fcis-8580	52	4	existing	exist	VERB
fcis-8580	52	5	label	label	NOUN
fcis-8580	52	6	propagation	propagation	NOUN
fcis-8580	52	7	algorithms	algorithm	NOUN
fcis-8580	52	8	ignore	ignore	VERB
fcis-8580	52	9	the	the	DET
fcis-8580	52	10	attributes	attribute	NOUN
fcis-8580	52	11	of	of	ADP
fcis-8580	52	12	the	the	DET
fcis-8580	52	13	network	network	NOUN
fcis-8580	52	14	itself	itself	PRON
fcis-8580	52	15	.	.	PUNCT
fcis-8580	53	1	k	k	ADJ
fcis-8580	53	2	-	-	PUNCT
fcis-8580	53	3	core	core	NOUN
fcis-8580	53	4	decomposition	decomposition	NOUN
fcis-8580	53	5	can	can	AUX
fcis-8580	53	6	roughly	roughly	ADV
fcis-8580	53	7	divide	divide	VERB
fcis-8580	53	8	the	the	DET
fcis-8580	53	9	community	community	NOUN
fcis-8580	53	10	and	and	CCONJ
fcis-8580	53	11	can	can	AUX
fcis-8580	53	12	be	be	AUX
fcis-8580	53	13	used	use	VERB
fcis-8580	53	14	as	as	ADP
fcis-8580	53	15	the	the	DET
fcis-8580	53	16	initialization	initialization	NOUN
fcis-8580	53	17	algorithm	algorithm	NOUN
fcis-8580	53	18	of	of	ADP
fcis-8580	53	19	the	the	DET
fcis-8580	53	20	population	population	NOUN
fcis-8580	53	21	.	.	PUNCT
fcis-8580	54	1	in	in	ADP
fcis-8580	54	2	the	the	DET
fcis-8580	54	3	label	label	NOUN
fcis-8580	54	4	propagation	propagation	NOUN
fcis-8580	54	5	algorithm	algorithm	NOUN
fcis-8580	54	6	,	,	PUNCT
fcis-8580	54	7	the	the	DET
fcis-8580	54	8	update	update	NOUN
fcis-8580	54	9	order	order	NOUN
fcis-8580	54	10	of	of	ADP
fcis-8580	54	11	nodes	node	NOUN
fcis-8580	54	12	significantly	significantly	ADV
fcis-8580	54	13	affects	affect	VERB
fcis-8580	54	14	the	the	DET
fcis-8580	54	15	formation	formation	NOUN
fcis-8580	54	16	of	of	ADP
fcis-8580	54	17	the	the	DET
fcis-8580	54	18	community	community	NOUN
fcis-8580	54	19	,	,	PUNCT
fcis-8580	54	20	and	and	CCONJ
fcis-8580	54	21	strengthening	strengthen	VERB
fcis-8580	54	22	the	the	DET
fcis-8580	54	23	propagation	propagation	NOUN
fcis-8580	54	24	priority	priority	NOUN
fcis-8580	54	25	of	of	ADP
fcis-8580	54	26	the	the	DET
fcis-8580	54	27	nodes	node	NOUN
fcis-8580	54	28	with	with	ADP
fcis-8580	54	29	lower	low	ADJ
fcis-8580	54	30	node	node	NOUN
fcis-8580	54	31	degree	degree	NOUN
fcis-8580	54	32	can	can	AUX
fcis-8580	54	33	improve	improve	VERB
fcis-8580	54	34	the	the	DET
fcis-8580	54	35	stability	stability	NOUN
fcis-8580	54	36	and	and	CCONJ
fcis-8580	54	37	balance	balance	NOUN
fcis-8580	54	38	of	of	ADP
fcis-8580	54	39	the	the	DET
fcis-8580	54	40	community	community	NOUN
fcis-8580	54	41	structure	structure	NOUN
fcis-8580	54	42	.	.	PUNCT
fcis-8580	55	1	based	base	VERB
fcis-8580	55	2	on	on	ADP
fcis-8580	55	3	the	the	DET
fcis-8580	55	4	label	label	NOUN
fcis-8580	55	5	propagation	propagation	NOUN
fcis-8580	55	6	method	method	NOUN
fcis-8580	55	7	,	,	PUNCT
fcis-8580	55	8	this	this	DET
fcis-8580	55	9	paper	paper	NOUN
fcis-8580	55	10	sets	set	VERB
fcis-8580	55	11	the	the	DET
fcis-8580	55	12	label	label	NOUN
fcis-8580	55	13	of	of	ADP
fcis-8580	55	14	the	the	DET
fcis-8580	55	15	cluster	cluster	NOUN
fcis-8580	55	16	node	node	NOUN
fcis-8580	55	17	belonging	belong	VERB
fcis-8580	55	18	to	to	ADP
fcis-8580	55	19	the	the	DET
fcis-8580	55	20	largest	large	ADJ
fcis-8580	55	21	k	k	NOUN
fcis-8580	55	22	-	-	NOUN
fcis-8580	55	23	core	core	NOUN
fcis-8580	55	24	to	to	ADP
fcis-8580	55	25	the	the	DET
fcis-8580	55	26	same	same	ADJ
fcis-8580	55	27	tag	tag	NOUN
fcis-8580	55	28	,	,	PUNCT
fcis-8580	55	29	and	and	CCONJ
fcis-8580	55	30	adds	add	VERB
fcis-8580	55	31	the	the	DET
fcis-8580	55	32	balance	balance	NOUN
fcis-8580	55	33	strategy	strategy	NOUN
fcis-8580	55	34	to	to	PART
fcis-8580	55	35	realize	realize	VERB
fcis-8580	55	36	the	the	DET
fcis-8580	55	37	population	population	NOUN
fcis-8580	55	38	initialization[10	initialization[10	X
fcis-8580	55	39	]	]	X
fcis-8580	55	40	.	.	PUNCT
fcis-8580	56	1	this	this	DET
fcis-8580	56	2	paper	paper	NOUN
fcis-8580	56	3	adopts	adopt	VERB
fcis-8580	56	4	the	the	DET
fcis-8580	56	5	multi	multi	ADJ
fcis-8580	56	6	-	-	ADJ
fcis-8580	56	7	objective	objective	ADJ
fcis-8580	56	8	optimization	optimization	NOUN
fcis-8580	56	9	framework	framework	NOUN
fcis-8580	56	10	and	and	CCONJ
fcis-8580	56	11	runs	run	VERB
fcis-8580	56	12	the	the	DET
fcis-8580	56	13	modpso	modpso	NOUN
fcis-8580	56	14	algorithm	algorithm	NOUN
fcis-8580	56	15	according	accord	VERB
fcis-8580	56	16	to	to	ADP
fcis-8580	56	17	the	the	DET
fcis-8580	56	18	partition	partition	NOUN
fcis-8580	56	19	results	result	NOUN
fcis-8580	56	20	of	of	ADP
fcis-8580	56	21	the	the	DET
fcis-8580	56	22	maximal	maximal	ADJ
fcis-8580	56	23	clique	clique	NOUN
fcis-8580	56	24	graph	graph	NOUN
fcis-8580	56	25	obtained	obtain	VERB
fcis-8580	56	26	by	by	ADP
fcis-8580	56	27	the	the	DET
fcis-8580	56	28	initialization	initialization	NOUN
fcis-8580	56	29	algorithm	algorithm	NOUN
fcis-8580	56	30	.	.	PUNCT
fcis-8580	57	1	modpso	modpso	NOUN
fcis-8580	57	2	is	be	AUX
fcis-8580	57	3	a	a	DET
fcis-8580	57	4	particle	particle	NOUN
fcis-8580	57	5	swarm	swarm	NOUN
fcis-8580	57	6	optimization	optimization	NOUN
fcis-8580	57	7	algorithm	algorithm	NOUN
fcis-8580	57	8	based	base	VERB
fcis-8580	57	9	on	on	ADP
fcis-8580	57	10	decomposition	decomposition	NOUN
fcis-8580	57	11	.	.	PUNCT
fcis-8580	58	1	this	this	DET
fcis-8580	58	2	method	method	NOUN
fcis-8580	58	3	has	have	VERB
fcis-8580	58	4	fast	fast	ADJ
fcis-8580	58	5	convergence	convergence	NOUN
fcis-8580	58	6	speed	speed	NOUN
fcis-8580	58	7	,	,	PUNCT
fcis-8580	58	8	high	high	ADJ
fcis-8580	58	9	accuracy	accuracy	NOUN
fcis-8580	58	10	of	of	ADP
fcis-8580	58	11	community	community	NOUN
fcis-8580	58	12	division	division	NOUN
fcis-8580	58	13	results	result	NOUN
fcis-8580	58	14	,	,	PUNCT
fcis-8580	58	15	and	and	CCONJ
fcis-8580	58	16	is	be	AUX
fcis-8580	58	17	suitable	suitable	ADJ
fcis-8580	58	18	for	for	ADP
fcis-8580	58	19	weight	weight	NOUN
fcis-8580	58	20	networks	network	NOUN
fcis-8580	58	21	.	.	PUNCT
fcis-8580	59	1	3	3	X
fcis-8580	59	2	.	.	NOUN
fcis-8580	59	3	results	result	NOUN
fcis-8580	59	4	and	and	CCONJ
fcis-8580	59	5	discussion	discussion	NOUN
fcis-8580	59	6	3.1	3.1	NUM
fcis-8580	59	7	.	.	PUNCT
fcis-8580	59	8	evaluation	evaluation	NOUN
fcis-8580	59	9	index	index	NOUN
fcis-8580	59	10	each	each	DET
fcis-8580	59	11	round	round	NOUN
fcis-8580	59	12	of	of	ADP
fcis-8580	59	13	operation	operation	NOUN
fcis-8580	59	14	of	of	ADP
fcis-8580	59	15	the	the	DET
fcis-8580	59	16	multi	multi	ADJ
fcis-8580	59	17	-	-	ADJ
fcis-8580	59	18	objective	objective	ADJ
fcis-8580	59	19	algorithm	algorithm	NOUN
fcis-8580	59	20	can	can	AUX
fcis-8580	59	21	produce	produce	VERB
fcis-8580	59	22	a	a	DET
fcis-8580	59	23	set	set	NOUN
fcis-8580	59	24	of	of	ADP
fcis-8580	59	25	non	non	ADJ
fcis-8580	59	26	-	-	ADJ
fcis-8580	59	27	dominant	dominant	ADJ
fcis-8580	59	28	solutions	solution	NOUN
fcis-8580	59	29	.	.	PUNCT
fcis-8580	60	1	the	the	DET
fcis-8580	60	2	two	two	NUM
fcis-8580	60	3	goals	goal	NOUN
fcis-8580	60	4	set	set	VERB
fcis-8580	60	5	by	by	ADP
fcis-8580	60	6	the	the	DET
fcis-8580	60	7	algorithm	algorithm	NOUN
fcis-8580	60	8	do	do	AUX
fcis-8580	60	9	not	not	PART
fcis-8580	60	10	have	have	VERB
fcis-8580	60	11	the	the	DET
fcis-8580	60	12	problem	problem	NOUN
fcis-8580	60	13	of	of	ADP
fcis-8580	60	14	which	which	PRON
fcis-8580	60	15	is	be	AUX
fcis-8580	60	16	superior	superior	ADJ
fcis-8580	60	17	or	or	CCONJ
fcis-8580	60	18	inferior	inferior	ADJ
fcis-8580	60	19	,	,	PUNCT
fcis-8580	60	20	and	and	CCONJ
fcis-8580	60	21	the	the	DET
fcis-8580	60	22	result	result	NOUN
fcis-8580	60	23	is	be	AUX
fcis-8580	60	24	a	a	DET
fcis-8580	60	25	compromise	compromise	NOUN
fcis-8580	60	26	solution	solution	NOUN
fcis-8580	60	27	set	set	NOUN
fcis-8580	60	28	.	.	PUNCT
fcis-8580	61	1	the	the	DET
fcis-8580	61	2	algorithm	algorithm	NOUN
fcis-8580	61	3	needs	need	VERB
fcis-8580	61	4	to	to	PART
fcis-8580	61	5	introduce	introduce	VERB
fcis-8580	61	6	evaluation	evaluation	NOUN
fcis-8580	61	7	index	index	NOUN
fcis-8580	61	8	to	to	PART
fcis-8580	61	9	judge	judge	VERB
fcis-8580	61	10	the	the	DET
fcis-8580	61	11	partition	partition	NOUN
fcis-8580	61	12	.	.	PUNCT
fcis-8580	62	1	in	in	ADP
fcis-8580	62	2	this	this	DET
fcis-8580	62	3	paper	paper	NOUN
fcis-8580	62	4	,	,	PUNCT
fcis-8580	62	5	generalized	generalize	VERB
fcis-8580	62	6	normalized	normalize	VERB
fcis-8580	62	7	mutual	mutual	ADJ
fcis-8580	62	8	information	information	NOUN
fcis-8580	62	9	(	(	PUNCT
fcis-8580	62	10	gnmi)[11	gnmi)[11	PROPN
fcis-8580	62	11	]	]	PUNCT
fcis-8580	62	12	is	be	AUX
fcis-8580	62	13	used	use	VERB
fcis-8580	62	14	as	as	ADP
fcis-8580	62	15	the	the	DET
fcis-8580	62	16	evaluation	evaluation	NOUN
fcis-8580	62	17	standard	standard	NOUN
fcis-8580	62	18	.	.	PUNCT
fcis-8580	63	1	the	the	DET
fcis-8580	63	2	result	result	NOUN
fcis-8580	63	3	of	of	ADP
fcis-8580	63	4	the	the	DET
fcis-8580	63	5	calculated	calculated	ADJ
fcis-8580	63	6	partition	partition	NOUN
fcis-8580	63	7	and	and	CCONJ
fcis-8580	63	8	the	the	DET
fcis-8580	63	9	gnmi	gnmi	NOUN
fcis-8580	63	10	value	value	NOUN
fcis-8580	63	11	of	of	ADP
fcis-8580	63	12	the	the	DET
fcis-8580	63	13	real	real	ADJ
fcis-8580	63	14	partition	partition	NOUN
fcis-8580	63	15	can	can	AUX
fcis-8580	63	16	evaluate	evaluate	VERB
fcis-8580	63	17	the	the	DET
fcis-8580	63	18	proximity	proximity	NOUN
fcis-8580	63	19	between	between	ADP
fcis-8580	63	20	the	the	DET
fcis-8580	63	21	result	result	NOUN
fcis-8580	63	22	of	of	ADP
fcis-8580	63	23	the	the	DET
fcis-8580	63	24	community	community	NOUN
fcis-8580	63	25	detection	detection	NOUN
fcis-8580	63	26	algorithm	algorithm	NOUN
fcis-8580	63	27	and	and	CCONJ
fcis-8580	63	28	the	the	DET
fcis-8580	63	29	real	real	ADJ
fcis-8580	63	30	partition	partition	NOUN
fcis-8580	63	31	.	.	PUNCT
fcis-8580	64	1	the	the	PRON
fcis-8580	64	2	larger	large	ADJ
fcis-8580	64	3	the	the	DET
fcis-8580	64	4	value	value	NOUN
fcis-8580	64	5	of	of	ADP
fcis-8580	64	6	gnmi	gnmi	NOUN
fcis-8580	64	7	is	be	AUX
fcis-8580	64	8	,	,	PUNCT
fcis-8580	64	9	the	the	PRON
fcis-8580	64	10	closer	close	ADV
fcis-8580	64	11	the	the	DET
fcis-8580	64	12	community	community	NOUN
fcis-8580	64	13	structure	structure	NOUN
fcis-8580	64	14	is	be	AUX
fcis-8580	64	15	to	to	ADP
fcis-8580	64	16	the	the	DET
fcis-8580	64	17	real	real	ADJ
fcis-8580	64	18	partition	partition	NOUN
fcis-8580	64	19	.	.	PUNCT
fcis-8580	65	1	3.2	3.2	NUM
fcis-8580	65	2	.	.	PUNCT
fcis-8580	66	1	real	real	ADJ
fcis-8580	66	2	network	network	NOUN
fcis-8580	66	3	experiments	experiment	NOUN
fcis-8580	66	4	in	in	ADP
fcis-8580	66	5	all	all	DET
fcis-8580	66	6	experiments	experiment	NOUN
fcis-8580	66	7	,	,	PUNCT
fcis-8580	66	8	the	the	DET
fcis-8580	66	9	population	population	NOUN
fcis-8580	66	10	size	size	NOUN
fcis-8580	66	11	and	and	CCONJ
fcis-8580	66	12	maximum	maximum	ADJ
fcis-8580	66	13	algebra	algebra	PROPN
fcis-8580	66	14	were	be	AUX
fcis-8580	66	15	set	set	VERB
fcis-8580	66	16	to	to	ADP
fcis-8580	66	17	100	100	NUM
fcis-8580	66	18	recommended	recommend	VERB
fcis-8580	66	19	in	in	ADP
fcis-8580	66	20	modpso	modpso	NOUN
fcis-8580	66	21	.	.	PUNCT
fcis-8580	67	1	all	all	DET
fcis-8580	67	2	the	the	DET
fcis-8580	67	3	experiments	experiment	NOUN
fcis-8580	67	4	were	be	AUX
fcis-8580	67	5	carried	carry	VERB
fcis-8580	67	6	out	out	ADP
fcis-8580	67	7	on	on	ADP
fcis-8580	67	8	intel	intel	PROPN
fcis-8580	67	9	core	core	PROPN
fcis-8580	67	10	i5	i5	NOUN
fcis-8580	67	11	-	-	PUNCT
fcis-8580	67	12	8265u	8265u	NUM
fcis-8580	67	13	(	(	PUNCT
fcis-8580	67	14	1.60	1.60	NUM
fcis-8580	67	15	ghz	ghz	NOUN
fcis-8580	67	16	,	,	PUNCT
fcis-8580	67	17	1.80	1.80	NUM
fcis-8580	67	18	ghz	ghz	NOUN
fcis-8580	67	19	)	)	PUNCT
fcis-8580	67	20	cpu	cpu	NOUN
fcis-8580	67	21	,	,	PUNCT
fcis-8580	67	22	8	8	NUM
fcis-8580	67	23	gb	gb	NOUN
fcis-8580	67	24	ram	ram	NOUN
fcis-8580	67	25	and	and	CCONJ
fcis-8580	67	26	windows	window	NOUN
fcis-8580	67	27	10	10	NUM
fcis-8580	67	28	computers	computer	NOUN
fcis-8580	67	29	based	base	VERB
fcis-8580	67	30	on	on	ADP
fcis-8580	67	31	x64	x64	PROPN
fcis-8580	67	32	processors	processor	NOUN
fcis-8580	67	33	.	.	PUNCT
fcis-8580	68	1	this	this	DET
fcis-8580	68	2	article	article	NOUN
fcis-8580	68	3	refers	refer	VERB
fcis-8580	68	4	to	to	ADP
fcis-8580	68	5	five	five	NUM
fcis-8580	68	6	real	real	ADJ
fcis-8580	68	7	online	online	ADJ
fcis-8580	68	8	data	data	NOUN
fcis-8580	68	9	sets	set	NOUN
fcis-8580	68	10	,	,	PUNCT
fcis-8580	68	11	which	which	PRON
fcis-8580	68	12	are	be	AUX
fcis-8580	68	13	zachary	zachary	PROPN
fcis-8580	68	14	's	's	PART
fcis-8580	68	15	karate	karate	NOUN
fcis-8580	68	16	network[12	network[12	NOUN
fcis-8580	68	17	]	]	PUNCT
fcis-8580	68	18	,	,	PUNCT
fcis-8580	68	19	dolphin	dolphin	NOUN
fcis-8580	68	20	social	social	ADJ
fcis-8580	68	21	network[13	network[13	PROPN
fcis-8580	68	22	]	]	PUNCT
fcis-8580	68	23	,	,	PUNCT
fcis-8580	68	24	american	american	PROPN
fcis-8580	68	25	college	college	PROPN
fcis-8580	68	26	football	football	NOUN
fcis-8580	68	27	network	network	NOUN
fcis-8580	68	28	and	and	CCONJ
fcis-8580	68	29	american	american	ADJ
fcis-8580	68	30	political	political	ADJ
fcis-8580	68	31	books	book	NOUN
fcis-8580	68	32	network	network	NOUN
fcis-8580	68	33	[	[	X
fcis-8580	68	34	14	14	NUM
fcis-8580	68	35	]	]	PUNCT
fcis-8580	68	36	.	.	PUNCT
fcis-8580	69	1	all	all	DET
fcis-8580	69	2	four	four	NUM
fcis-8580	69	3	real	real	ADJ
fcis-8580	69	4	networks	network	NOUN
fcis-8580	69	5	have	have	VERB
fcis-8580	69	6	real	real	ADJ
fcis-8580	69	7	community	community	NOUN
fcis-8580	69	8	divisions	division	NOUN
fcis-8580	69	9	,	,	PUNCT
fcis-8580	69	10	so	so	ADV
fcis-8580	69	11	gnmi	gnmi	PROPN
fcis-8580	69	12	can	can	AUX
fcis-8580	69	13	be	be	AUX
fcis-8580	69	14	used	use	VERB
fcis-8580	69	15	to	to	PART
fcis-8580	69	16	measure	measure	VERB
fcis-8580	69	17	the	the	DET
fcis-8580	69	18	effectiveness	effectiveness	NOUN
fcis-8580	69	19	of	of	ADP
fcis-8580	69	20	the	the	DET
fcis-8580	69	21	four	four	NUM
fcis-8580	69	22	network	network	NOUN
fcis-8580	69	23	divisions	division	NOUN
fcis-8580	69	24	.	.	PUNCT
fcis-8580	70	1	table	table	NOUN
fcis-8580	70	2	1	1	NUM
fcis-8580	70	3	shows	show	VERB
fcis-8580	70	4	the	the	DET
fcis-8580	70	5	basic	basic	ADJ
fcis-8580	70	6	information	information	NOUN
fcis-8580	70	7	of	of	ADP
fcis-8580	70	8	these	these	DET
fcis-8580	70	9	four	four	NUM
fcis-8580	70	10	networks	network	NOUN
fcis-8580	70	11	.	.	PUNCT
fcis-8580	71	1	112	112	NUM
fcis-8580	71	2	table	table	NOUN
fcis-8580	71	3	1	1	NUM
fcis-8580	71	4	.	.	PUNCT
fcis-8580	71	5	structural	structural	ADJ
fcis-8580	71	6	characteristics	characteristic	NOUN
fcis-8580	71	7	of	of	ADP
fcis-8580	71	8	four	four	NUM
fcis-8580	71	9	real	real	ADJ
fcis-8580	71	10	networks	network	NOUN
fcis-8580	71	11	network	network	NOUN
fcis-8580	71	12	number	number	NOUN
fcis-8580	71	13	of	of	ADP
fcis-8580	71	14	nodes	node	NOUN
fcis-8580	71	15	number	number	NOUN
fcis-8580	71	16	of	of	ADP
fcis-8580	71	17	edges	edge	NOUN
fcis-8580	71	18	average	average	ADJ
fcis-8580	71	19	degree	degree	NOUN
fcis-8580	71	20	number	number	NOUN
fcis-8580	71	21	of	of	ADP
fcis-8580	71	22	real	real	ADJ
fcis-8580	71	23	communities	community	NOUN
fcis-8580	71	24	football	football	NOUN
fcis-8580	71	25	115	115	NUM
fcis-8580	71	26	613	613	NUM
fcis-8580	71	27	10.66	10.66	NUM
fcis-8580	71	28	12	12	NUM
fcis-8580	71	29	karate	karate	NOUN
fcis-8580	71	30	34	34	NUM
fcis-8580	71	31	78	78	NUM
fcis-8580	71	32	4.59	4.59	NUM
fcis-8580	71	33	2	2	NUM
fcis-8580	71	34	dolphin	dolphin	NOUN
fcis-8580	71	35	62	62	NUM
fcis-8580	71	36	159	159	NUM
fcis-8580	71	37	5.13	5.13	NUM
fcis-8580	71	38	2	2	NUM
fcis-8580	71	39	polbook	polbook	NOUN
fcis-8580	71	40	105	105	NUM
fcis-8580	71	41	441	441	NUM
fcis-8580	71	42	8.4	8.4	NUM
fcis-8580	71	43	3	3	NUM
fcis-8580	71	44	table	table	NOUN
fcis-8580	71	45	2	2	NUM
fcis-8580	71	46	.	.	PUNCT
fcis-8580	71	47	comparison	comparison	NOUN
fcis-8580	71	48	of	of	ADP
fcis-8580	71	49	algorithms	algorithm	NOUN
fcis-8580	71	50	on	on	ADP
fcis-8580	71	51	real	real	ADJ
fcis-8580	71	52	network	network	NOUN
fcis-8580	71	53	maximum	maximum	PROPN
fcis-8580	71	54	gnmi	gnmi	PROPN
fcis-8580	71	55	indexes	index	NOUN
fcis-8580	71	56	nework	nework	VERB
fcis-8580	71	57	this	this	DET
fcis-8580	71	58	article	article	NOUN
fcis-8580	71	59	mcmoea	mcmoea	PROPN
fcis-8580	71	60	modpso	modpso	PROPN
fcis-8580	71	61	mr	mr	PROPN
fcis-8580	71	62	-	-	PUNCT
fcis-8580	71	63	moea	moea	NOUN
fcis-8580	71	64	nmf	nmf	NOUN
fcis-8580	71	65	imoqpso	imoqpso	PROPN
fcis-8580	71	66	+	+	PROPN
fcis-8580	71	67	/-/	/-/	PROPN
fcis-8580	71	68	football	football	NOUN
fcis-8580	71	69	0.803	0.803	NUM
fcis-8580	71	70	0.712	0.712	NUM
fcis-8580	71	71	+	+	NUM
fcis-8580	71	72	0.92890.803	0.92890.803	NUM
fcis-8580	71	73	0.793	0.793	NUM
fcis-8580	71	74	+	+	SYM
fcis-8580	71	75	0.809	0.809	NUM
fcis-8580	71	76	　 	　 	SPACE
fcis-8580	71	77	2/1/2	2/1/2	NUM
fcis-8580	71	78	karate	karate	NOUN
fcis-8580	71	79	0.918	0.918	NUM
fcis-8580	71	80	0.918	0.918	NUM
fcis-8580	71	81	　 	　 	SPACE
fcis-8580	71	82	110.837	110.837	NUM
fcis-8580	71	83	+	+	NUM
fcis-8580	71	84	0.708	0.708	NUM
fcis-8580	72	1	+	+	SYM
fcis-8580	72	2	2/2/1	2/2/1	PROPN
fcis-8580	72	3	dolphin	dolphin	NOUN
fcis-8580	72	4	0.889	0.889	NUM
fcis-8580	72	5	0.473	0.473	NUM
fcis-8580	72	6	+	+	SYM
fcis-8580	72	7	110.90711/4/0	110.90711/4/0	NUM
fcis-8580	72	8	polbook	polbook	NOUN
fcis-8580	72	9	0.447	0.447	NUM
fcis-8580	72	10	0.104	0.104	NUM
fcis-8580	72	11	+	+	CCONJ
fcis-8580	72	12	—	—	PUNCT
fcis-8580	72	13	—	—	PUNCT
fcis-8580	72	14	0.149	0.149	NUM
fcis-8580	72	15	+	+	NUM
fcis-8580	72	16	0.388	0.388	NUM
fcis-8580	72	17	+	+	NUM
fcis-8580	72	18	0.432	0.432	NUM
fcis-8580	72	19	+	+	SYM
fcis-8580	72	20	4/0/0	4/0/0	NUM
fcis-8580	73	1	+	+	CCONJ
fcis-8580	73	2	indicates	indicate	VERB
fcis-8580	73	3	that	that	SCONJ
fcis-8580	73	4	the	the	DET
fcis-8580	73	5	performance	performance	NOUN
fcis-8580	73	6	of	of	ADP
fcis-8580	73	7	this	this	DET
fcis-8580	73	8	algorithm	algorithm	NOUN
fcis-8580	73	9	in	in	ADP
fcis-8580	73	10	obtaining	obtain	VERB
fcis-8580	73	11	the	the	DET
fcis-8580	73	12	maximum	maximum	ADJ
fcis-8580	73	13	gnmi	gnmi	NOUN
fcis-8580	73	14	partition	partition	NOUN
fcis-8580	73	15	is	be	AUX
fcis-8580	73	16	better	well	ADJ
fcis-8580	73	17	than	than	ADP
fcis-8580	73	18	that	that	PRON
fcis-8580	73	19	of	of	ADP
fcis-8580	73	20	other	other	ADJ
fcis-8580	73	21	methods	method	NOUN
fcis-8580	73	22	;	;	PUNCT
fcis-8580	73	23	-indicates	-indicate	NOUN
fcis-8580	73	24	that	that	SCONJ
fcis-8580	73	25	the	the	DET
fcis-8580	73	26	performance	performance	NOUN
fcis-8580	73	27	of	of	ADP
fcis-8580	73	28	this	this	DET
fcis-8580	73	29	algorithm	algorithm	NOUN
fcis-8580	73	30	in	in	ADP
fcis-8580	73	31	obtaining	obtain	VERB
fcis-8580	73	32	the	the	DET
fcis-8580	73	33	maximum	maximum	ADJ
fcis-8580	73	34	gnmi	gnmi	NOUN
fcis-8580	73	35	partition	partition	NOUN
fcis-8580	73	36	is	be	AUX
fcis-8580	73	37	weaker	weak	ADJ
fcis-8580	73	38	than	than	ADP
fcis-8580	73	39	that	that	PRON
fcis-8580	73	40	of	of	ADP
fcis-8580	73	41	other	other	ADJ
fcis-8580	73	42	methods	method	NOUN
fcis-8580	73	43	;	;	PUNCT
fcis-8580	73	44			X
fcis-8580	73	45	indicates	indicate	VERB
fcis-8580	73	46	that	that	SCONJ
fcis-8580	73	47	the	the	DET
fcis-8580	73	48	performance	performance	NOUN
fcis-8580	73	49	of	of	ADP
fcis-8580	73	50	this	this	DET
fcis-8580	73	51	algorithm	algorithm	NOUN
fcis-8580	73	52	is	be	AUX
fcis-8580	73	53	similar	similar	ADJ
fcis-8580	73	54	to	to	ADP
fcis-8580	73	55	that	that	PRON
fcis-8580	73	56	of	of	ADP
fcis-8580	73	57	other	other	ADJ
fcis-8580	73	58	algorithms	algorithm	NOUN
fcis-8580	73	59	in	in	ADP
fcis-8580	73	60	obtaining	obtain	VERB
fcis-8580	73	61	the	the	DET
fcis-8580	73	62	maximum	maximum	ADJ
fcis-8580	73	63	gnmi	gnmi	PROPN
fcis-8580	73	64	partition	partition	NOUN
fcis-8580	73	65	.	.	PUNCT
fcis-8580	74	1	table	table	NOUN
fcis-8580	74	2	2	2	NUM
fcis-8580	74	3	shows	show	VERB
fcis-8580	74	4	the	the	DET
fcis-8580	74	5	maximum	maximum	PROPN
fcis-8580	74	6	gnmi	gnmi	PROPN
fcis-8580	74	7	comparison	comparison	NOUN
fcis-8580	74	8	results	result	NOUN
fcis-8580	74	9	of	of	ADP
fcis-8580	74	10	the	the	DET
fcis-8580	74	11	proposed	propose	VERB
fcis-8580	74	12	algorithm	algorithm	NOUN
fcis-8580	74	13	and	and	CCONJ
fcis-8580	74	14	the	the	DET
fcis-8580	74	15	other	other	ADJ
fcis-8580	74	16	five	five	NUM
fcis-8580	74	17	algorithms	algorithm	NOUN
fcis-8580	74	18	applied	apply	VERB
fcis-8580	74	19	to	to	ADP
fcis-8580	74	20	the	the	DET
fcis-8580	74	21	above	above	ADJ
fcis-8580	74	22	four	four	NUM
fcis-8580	74	23	real	real	ADJ
fcis-8580	74	24	networks	network	NOUN
fcis-8580	74	25	.	.	PUNCT
fcis-8580	75	1	generally	generally	ADV
fcis-8580	75	2	speaking	speak	VERB
fcis-8580	75	3	,	,	PUNCT
fcis-8580	75	4	the	the	DET
fcis-8580	75	5	experimental	experimental	ADJ
fcis-8580	75	6	results	result	NOUN
fcis-8580	75	7	of	of	ADP
fcis-8580	75	8	this	this	DET
fcis-8580	75	9	algorithm	algorithm	NOUN
fcis-8580	75	10	on	on	ADP
fcis-8580	75	11	these	these	DET
fcis-8580	75	12	four	four	NUM
fcis-8580	75	13	real	real	ADJ
fcis-8580	75	14	networks	network	NOUN
fcis-8580	75	15	are	be	AUX
fcis-8580	75	16	competitive	competitive	ADJ
fcis-8580	75	17	.	.	PUNCT
fcis-8580	76	1	4	4	X
fcis-8580	76	2	.	.	X
fcis-8580	76	3	conclusion	conclusion	NOUN
fcis-8580	76	4	in	in	ADP
fcis-8580	76	5	this	this	DET
fcis-8580	76	6	paper	paper	NOUN
fcis-8580	76	7	,	,	PUNCT
fcis-8580	76	8	we	we	PRON
fcis-8580	76	9	propose	propose	VERB
fcis-8580	76	10	a	a	DET
fcis-8580	76	11	multi	multi	ADJ
fcis-8580	76	12	-	-	ADJ
fcis-8580	76	13	objective	objective	ADJ
fcis-8580	76	14	optimal	optimal	ADJ
fcis-8580	76	15	overlapping	overlap	VERB
fcis-8580	76	16	community	community	NOUN
fcis-8580	76	17	detection	detection	NOUN
fcis-8580	76	18	algorithm	algorithm	NOUN
fcis-8580	76	19	based	base	VERB
fcis-8580	76	20	on	on	ADP
fcis-8580	76	21	subgraph	subgraph	NOUN
fcis-8580	76	22	structure	structure	NOUN
fcis-8580	76	23	,	,	PUNCT
fcis-8580	76	24	which	which	PRON
fcis-8580	76	25	detects	detect	VERB
fcis-8580	76	26	the	the	DET
fcis-8580	76	27	maximum	maximum	ADJ
fcis-8580	76	28	clique	clique	NOUN
fcis-8580	76	29	in	in	ADP
fcis-8580	76	30	the	the	DET
fcis-8580	76	31	network	network	NOUN
fcis-8580	76	32	based	base	VERB
fcis-8580	76	33	on	on	ADP
fcis-8580	76	34	k	k	ADJ
fcis-8580	76	35	-	-	PUNCT
fcis-8580	76	36	core	core	NOUN
fcis-8580	76	37	decomposition	decomposition	NOUN
fcis-8580	76	38	,	,	PUNCT
fcis-8580	76	39	and	and	CCONJ
fcis-8580	76	40	transforms	transform	VERB
fcis-8580	76	41	the	the	DET
fcis-8580	76	42	maximal	maximal	ADJ
fcis-8580	76	43	clique	clique	NOUN
fcis-8580	76	44	into	into	ADP
fcis-8580	76	45	clique	clique	ADJ
fcis-8580	76	46	nodes	node	NOUN
fcis-8580	76	47	to	to	PART
fcis-8580	76	48	construct	construct	VERB
fcis-8580	76	49	a	a	DET
fcis-8580	76	50	weighted	weighted	ADJ
fcis-8580	76	51	network	network	NOUN
fcis-8580	76	52	.	.	PUNCT
fcis-8580	77	1	then	then	ADV
fcis-8580	77	2	the	the	DET
fcis-8580	77	3	initialization	initialization	NOUN
fcis-8580	77	4	method	method	NOUN
fcis-8580	77	5	of	of	ADP
fcis-8580	77	6	tag	tag	NOUN
fcis-8580	77	7	propagation	propagation	NOUN
fcis-8580	77	8	population	population	NOUN
fcis-8580	77	9	based	base	VERB
fcis-8580	77	10	on	on	ADP
fcis-8580	77	11	balance	balance	NOUN
fcis-8580	77	12	and	and	CCONJ
fcis-8580	77	13	k	k	ADJ
fcis-8580	77	14	-	-	PUNCT
fcis-8580	77	15	core	core	NOUN
fcis-8580	77	16	decomposition	decomposition	NOUN
fcis-8580	77	17	is	be	AUX
fcis-8580	77	18	introduced	introduce	VERB
fcis-8580	77	19	,	,	PUNCT
fcis-8580	77	20	and	and	CCONJ
fcis-8580	77	21	then	then	ADV
fcis-8580	77	22	the	the	DET
fcis-8580	77	23	multi	multi	ADJ
fcis-8580	77	24	-	-	ADJ
fcis-8580	77	25	objective	objective	ADJ
fcis-8580	77	26	particle	particle	NOUN
fcis-8580	77	27	swarm	swarm	NOUN
fcis-8580	77	28	optimization	optimization	NOUN
fcis-8580	77	29	algorithm	algorithm	NOUN
fcis-8580	77	30	is	be	AUX
fcis-8580	77	31	used	use	VERB
fcis-8580	77	32	to	to	PART
fcis-8580	77	33	complete	complete	VERB
fcis-8580	77	34	the	the	DET
fcis-8580	77	35	community	community	NOUN
fcis-8580	77	36	detection	detection	NOUN
fcis-8580	77	37	of	of	ADP
fcis-8580	77	38	the	the	DET
fcis-8580	77	39	network	network	NOUN
fcis-8580	77	40	.	.	PUNCT
fcis-8580	78	1	the	the	DET
fcis-8580	78	2	experimental	experimental	ADJ
fcis-8580	78	3	results	result	NOUN
fcis-8580	78	4	show	show	VERB
fcis-8580	78	5	that	that	SCONJ
fcis-8580	78	6	the	the	DET
fcis-8580	78	7	algorithm	algorithm	NOUN
fcis-8580	78	8	proposed	propose	VERB
fcis-8580	78	9	in	in	ADP
fcis-8580	78	10	this	this	DET
fcis-8580	78	11	paper	paper	NOUN
fcis-8580	78	12	achieves	achieve	VERB
fcis-8580	78	13	good	good	ADJ
fcis-8580	78	14	results	result	NOUN
fcis-8580	78	15	in	in	ADP
fcis-8580	78	16	both	both	CCONJ
fcis-8580	78	17	synthetic	synthetic	ADJ
fcis-8580	78	18	network	network	NOUN
fcis-8580	78	19	and	and	CCONJ
fcis-8580	78	20	real	real	ADJ
fcis-8580	78	21	network	network	NOUN
fcis-8580	78	22	.	.	PUNCT
fcis-8580	79	1	references	reference	NOUN
fcis-8580	79	2	[	[	X
fcis-8580	79	3	1	1	NUM
fcis-8580	79	4	]	]	PUNCT
fcis-8580	79	5	watts	watts	PROPN
fcis-8580	79	6	,	,	PUNCT
fcis-8580	79	7	d.	d.	PROPN
fcis-8580	79	8	,	,	PUNCT
fcis-8580	79	9	strogatz	strogatz	PROPN
fcis-8580	79	10	,	,	PUNCT
fcis-8580	79	11	s.	s.	PROPN
fcis-8580	79	12	collective	collective	ADJ
fcis-8580	79	13	dynamics	dynamic	NOUN
fcis-8580	79	14	of	of	ADP
fcis-8580	79	15	‘	'	PUNCT
fcis-8580	79	16	small	small	ADJ
fcis-8580	79	17	-	-	PUNCT
fcis-8580	79	18	world	world	NOUN
fcis-8580	79	19	’	'	PUNCT
fcis-8580	79	20	networks	network	NOUN
fcis-8580	79	21	.	.	PUNCT
fcis-8580	80	1	nature	nature	NOUN
fcis-8580	80	2	393	393	NUM
fcis-8580	80	3	,	,	PUNCT
fcis-8580	80	4	440–442	440–442	NUM
fcis-8580	80	5	(	(	PUNCT
fcis-8580	80	6	1998	1998	NUM
fcis-8580	80	7	)	)	PUNCT
fcis-8580	80	8	.	.	PUNCT
fcis-8580	81	1	[	[	X
fcis-8580	81	2	2	2	X
fcis-8580	81	3	]	]	PUNCT
fcis-8580	81	4	pizzuti	pizzuti	PROPN
fcis-8580	81	5	c	c	PROPN
fcis-8580	81	6	,	,	PUNCT
fcis-8580	81	7	rombo	rombo	PROPN
fcis-8580	81	8	s	s	PART
fcis-8580	81	9	e.	e.	PROPN
fcis-8580	81	10	algorithms	algorithms	PROPN
fcis-8580	81	11	and	and	CCONJ
fcis-8580	81	12	tools	tool	NOUN
fcis-8580	81	13	for	for	ADP
fcis-8580	81	14	protein	protein	NOUN
fcis-8580	81	15	-	-	PUNCT
fcis-8580	81	16	protein	protein	NOUN
fcis-8580	81	17	interaction	interaction	NOUN
fcis-8580	81	18	networks	network	NOUN
fcis-8580	81	19	clustering	cluster	VERB
fcis-8580	81	20	,	,	PUNCT
fcis-8580	81	21	with	with	ADP
fcis-8580	81	22	a	a	DET
fcis-8580	81	23	special	special	ADJ
fcis-8580	81	24	focus	focus	NOUN
fcis-8580	81	25	on	on	ADP
fcis-8580	81	26	population	population	NOUN
fcis-8580	81	27	-	-	PUNCT
fcis-8580	81	28	based	base	VERB
fcis-8580	81	29	stochastic	stochastic	ADJ
fcis-8580	81	30	methods	method	NOUN
fcis-8580	81	31	.	.	PUNCT
fcis-8580	82	1	2014	2014	NUM
fcis-8580	82	2	.	.	PUNCT
fcis-8580	83	1	[	[	X
fcis-8580	83	2	3	3	NUM
fcis-8580	83	3	]	]	X
fcis-8580	83	4	wasserman	wasserman	PROPN
fcis-8580	83	5	,	,	PUNCT
fcis-8580	83	6	stanley	stanley	PROPN
fcis-8580	83	7	,	,	PUNCT
fcis-8580	83	8	faust	faust	PROPN
fcis-8580	83	9	,	,	PUNCT
fcis-8580	83	10	et	et	PROPN
fcis-8580	84	1	al	al	PROPN
fcis-8580	84	2	.	.	PROPN
fcis-8580	84	3	social	social	ADJ
fcis-8580	84	4	network	network	NOUN
fcis-8580	84	5	analysis	analysis	NOUN
fcis-8580	84	6	:	:	PUNCT
fcis-8580	84	7	methods	method	NOUN
fcis-8580	84	8	and	and	CCONJ
fcis-8580	84	9	applications	application	NOUN
fcis-8580	84	10	(	(	PUNCT
fcis-8580	84	11	structural	structural	ADJ
fcis-8580	84	12	analysis	analysis	NOUN
fcis-8580	84	13	in	in	ADP
fcis-8580	84	14	the	the	DET
fcis-8580	84	15	social	social	ADJ
fcis-8580	84	16	sciences)[m	sciences)[m	PROPN
fcis-8580	84	17	]	]	PUNCT
fcis-8580	84	18	.	.	PUNCT
fcis-8580	85	1	cambridge	cambridge	PROPN
fcis-8580	85	2	university	university	PROPN
fcis-8580	85	3	press	press	NOUN
fcis-8580	85	4	,	,	PUNCT
fcis-8580	85	5	1994	1994	NUM
fcis-8580	85	6	.	.	PUNCT
fcis-8580	86	1	[	[	X
fcis-8580	86	2	4	4	NUM
fcis-8580	86	3	]	]	X
fcis-8580	86	4	wen	wen	PROPN
fcis-8580	86	5	x	x	PROPN
fcis-8580	86	6	,	,	PUNCT
fcis-8580	86	7	chen	chen	PROPN
fcis-8580	86	8	w	w	PROPN
fcis-8580	86	9	n	n	PROPN
fcis-8580	86	10	,	,	PUNCT
fcis-8580	86	11	ying	ying	PROPN
fcis-8580	86	12	l	l	PROPN
fcis-8580	86	13	,	,	PUNCT
fcis-8580	86	14	et	et	PROPN
fcis-8580	86	15	al	al	PROPN
fcis-8580	86	16	.	.	PUNCT
fcis-8580	87	1	a	a	DET
fcis-8580	87	2	maximal	maximal	ADJ
fcis-8580	87	3	clique	clique	NOUN
fcis-8580	87	4	based	base	VERB
fcis-8580	87	5	multiobjective	multiobjective	ADJ
fcis-8580	87	6	evolutionary	evolutionary	ADJ
fcis-8580	87	7	algorithm	algorithm	NOUN
fcis-8580	87	8	for	for	ADP
fcis-8580	87	9	overlapping	overlap	VERB
fcis-8580	87	10	community	community	NOUN
fcis-8580	87	11	detection[j	detection[j	PROPN
fcis-8580	87	12	]	]	PUNCT
fcis-8580	87	13	.	.	PUNCT
fcis-8580	88	1	ieee	ieee	NOUN
fcis-8580	88	2	transactions	transaction	NOUN
fcis-8580	88	3	on	on	ADP
fcis-8580	88	4	evolutionary	evolutionary	ADJ
fcis-8580	88	5	computation	computation	NOUN
fcis-8580	88	6	,	,	PUNCT
fcis-8580	88	7	2017	2017	NUM
fcis-8580	88	8	,	,	PUNCT
fcis-8580	88	9	pp	pp	CCONJ
fcis-8580	88	10	(	(	PUNCT
fcis-8580	88	11	99):1	99):1	NUM
fcis-8580	88	12	-	-	SYM
fcis-8580	88	13	1	1	NUM
fcis-8580	88	14	.	.	PUNCT
fcis-8580	89	1	[	[	X
fcis-8580	89	2	5	5	X
fcis-8580	89	3	]	]	X
fcis-8580	89	4	girvan	girvan	PROPN
fcis-8580	89	5	m	m	PROPN
fcis-8580	89	6	,	,	PUNCT
fcis-8580	89	7	newman	newman	PROPN
fcis-8580	89	8	m	m	PROPN
fcis-8580	89	9	e	e	PROPN
fcis-8580	89	10	.	.	PUNCT
fcis-8580	90	1	community	community	NOUN
fcis-8580	90	2	structure	structure	NOUN
fcis-8580	90	3	in	in	ADP
fcis-8580	90	4	social	social	ADJ
fcis-8580	90	5	and	and	CCONJ
fcis-8580	90	6	biological	biological	ADJ
fcis-8580	90	7	networks[j	networks[j	PROPN
fcis-8580	90	8	]	]	PUNCT
fcis-8580	90	9	.	.	PUNCT
fcis-8580	91	1	proc	proc	PROPN
fcis-8580	91	2	natl	natl	PROPN
fcis-8580	91	3	acad	acad	PROPN
fcis-8580	91	4	,	,	PUNCT
fcis-8580	91	5	u	u	PROPN
fcis-8580	91	6	s	s	PROPN
fcis-8580	91	7	a	a	PRON
fcis-8580	91	8	,	,	PUNCT
fcis-8580	91	9	2002	2002	NUM
fcis-8580	91	10	,	,	PUNCT
fcis-8580	91	11	99	99	NUM
fcis-8580	91	12	(	(	PUNCT
fcis-8580	91	13	12	12	NUM
fcis-8580	91	14	):	):	PUNCT
fcis-8580	91	15	7821	7821	NUM
fcis-8580	91	16	-	-	SYM
fcis-8580	91	17	7826	7826	NUM
fcis-8580	91	18	.	.	PUNCT
fcis-8580	92	1	[	[	X
fcis-8580	92	2	6	6	NUM
fcis-8580	92	3	]	]	PUNCT
fcis-8580	92	4	gong	gong	NOUN
fcis-8580	92	5	m	m	PROPN
fcis-8580	92	6	,	,	PUNCT
fcis-8580	92	7	cai	cai	PROPN
fcis-8580	92	8	q	q	X
fcis-8580	92	9	,	,	PUNCT
fcis-8580	92	10	chen	chen	PROPN
fcis-8580	92	11	x	x	X
fcis-8580	92	12	,	,	PUNCT
fcis-8580	92	13	et	et	PROPN
fcis-8580	92	14	al	al	PROPN
fcis-8580	92	15	.	.	PUNCT
fcis-8580	92	16	complex	complex	ADJ
fcis-8580	92	17	network	network	NOUN
fcis-8580	92	18	clustering	cluster	VERB
fcis-8580	92	19	by	by	ADP
fcis-8580	92	20	multiobjective	multiobjective	ADJ
fcis-8580	92	21	discrete	discrete	ADJ
fcis-8580	92	22	particle	particle	NOUN
fcis-8580	92	23	swarm	swarm	NOUN
fcis-8580	92	24	optimization	optimization	NOUN
fcis-8580	92	25	based	base	VERB
fcis-8580	92	26	on	on	ADP
fcis-8580	92	27	decomposition	decomposition	NOUN
fcis-8580	92	28	[	[	X
fcis-8580	92	29	j	j	X
fcis-8580	92	30	]	]	X
fcis-8580	92	31	.	.	PUNCT
fcis-8580	93	1	ieee	ieee	NOUN
fcis-8580	93	2	transactions	transaction	NOUN
fcis-8580	93	3	on	on	ADP
fcis-8580	93	4	evolutionary	evolutionary	ADJ
fcis-8580	93	5	computation	computation	NOUN
fcis-8580	93	6	,	,	PUNCT
fcis-8580	93	7	2014	2014	NUM
fcis-8580	93	8	,	,	PUNCT
fcis-8580	93	9	18(1):82	18(1):82	NOUN
fcis-8580	93	10	-	-	SYM
fcis-8580	93	11	97	97	NUM
fcis-8580	93	12	.	.	PUNCT
fcis-8580	94	1	[	[	X
fcis-8580	94	2	7	7	X
fcis-8580	94	3	]	]	X
fcis-8580	94	4	zhang	zhang	PROPN
fcis-8580	94	5	l	l	PROPN
fcis-8580	94	6	,	,	PUNCT
fcis-8580	94	7	pan	pan	PROPN
fcis-8580	94	8	h	h	PROPN
fcis-8580	94	9	,	,	PUNCT
fcis-8580	94	10	su	su	PROPN
fcis-8580	94	11	y	y	PROPN
fcis-8580	94	12	,	,	PUNCT
fcis-8580	94	13	et	et	PROPN
fcis-8580	94	14	al	al	PROPN
fcis-8580	94	15	.	.	PUNCT
fcis-8580	95	1	a	a	DET
fcis-8580	95	2	mixed	mixed	ADJ
fcis-8580	95	3	representation	representation	NOUN
fcis-8580	95	4	-	-	PUNCT
fcis-8580	95	5	based	base	VERB
fcis-8580	95	6	multiobjective	multiobjective	ADJ
fcis-8580	95	7	evolutionary	evolutionary	ADJ
fcis-8580	95	8	algorithm	algorithm	NOUN
fcis-8580	95	9	for	for	ADP
fcis-8580	95	10	overlapping	overlap	VERB
fcis-8580	95	11	community	community	NOUN
fcis-8580	95	12	detection[j	detection[j	PROPN
fcis-8580	95	13	]	]	PUNCT
fcis-8580	95	14	.	.	PUNCT
fcis-8580	96	1	ieee	ieee	PROPN
fcis-8580	96	2	trans	trans	PROPN
fcis-8580	96	3	cybern	cybern	PROPN
fcis-8580	96	4	,	,	PUNCT
fcis-8580	96	5	2017:1	2017:1	NUM
fcis-8580	96	6	-	-	SYM
fcis-8580	96	7	14	14	NUM
fcis-8580	96	8	.	.	PUNCT
fcis-8580	97	1	[	[	X
fcis-8580	97	2	8	8	NUM
fcis-8580	97	3	]	]	X
fcis-8580	97	4	pizzuti	pizzuti	PROPN
fcis-8580	97	5	c.	c.	PROPN
fcis-8580	97	6	ga	ga	PROPN
fcis-8580	97	7	-	-	PROPN
fcis-8580	97	8	net	net	NOUN
fcis-8580	97	9	:	:	PUNCT
fcis-8580	97	10	a	a	DET
fcis-8580	97	11	genetic	genetic	ADJ
fcis-8580	97	12	algorithm	algorithm	NOUN
fcis-8580	97	13	for	for	ADP
fcis-8580	97	14	community	community	NOUN
fcis-8580	97	15	detection	detection	NOUN
fcis-8580	97	16	in	in	ADP
fcis-8580	97	17	social	social	ADJ
fcis-8580	97	18	networks[j	networks[j	PROPN
fcis-8580	97	19	]	]	X
fcis-8580	97	20	.	.	PUNCT
fcis-8580	98	1	springer	springer	PROPN
fcis-8580	98	2	berlin	berlin	PROPN
fcis-8580	98	3	heidelberg	heidelberg	PROPN
fcis-8580	98	4	,	,	PUNCT
fcis-8580	98	5	2008	2008	NUM
fcis-8580	98	6	.	.	PUNCT
fcis-8580	99	1	[	[	X
fcis-8580	99	2	9	9	NUM
fcis-8580	99	3	]	]	SYM
fcis-8580	99	4	angelini	angelini	NOUN
fcis-8580	99	5	l	l	PROPN
fcis-8580	99	6	boccaletti	boccaletti	PROPN
fcis-8580	99	7	s	s	PROPN
fcis-8580	99	8	,	,	PUNCT
fcis-8580	99	9	marinazzo	marinazzo	ADJ
fcis-8580	99	10	d	d	NOUN
fcis-8580	99	11	,	,	PUNCT
fcis-8580	99	12	et	et	PROPN
fcis-8580	99	13	al	al	PROPN
fcis-8580	99	14	.	.	PUNCT
fcis-8580	99	15	identification	identification	NOUN
fcis-8580	99	16	of	of	ADP
fcis-8580	99	17	network	network	NOUN
fcis-8580	99	18	modules	module	NOUN
fcis-8580	99	19	by	by	ADP
fcis-8580	99	20	optimization	optimization	NOUN
fcis-8580	99	21	of	of	ADP
fcis-8580	99	22	ratio	ratio	NOUN
fcis-8580	99	23	association[j	association[j	PROPN
fcis-8580	99	24	]	]	PUNCT
fcis-8580	99	25	.	.	PUNCT
fcis-8580	100	1	chaos	chaos	NOUN
fcis-8580	100	2	:	:	PUNCT
fcis-8580	100	3	an	an	DET
fcis-8580	100	4	interdisciplinary	interdisciplinary	ADJ
fcis-8580	100	5	journal	journal	NOUN
fcis-8580	100	6	of	of	ADP
fcis-8580	100	7	nonlinear	nonlinear	ADJ
fcis-8580	100	8	science	science	NOUN
fcis-8580	100	9	,	,	PUNCT
fcis-8580	100	10	2007	2007	NUM
fcis-8580	100	11	,	,	PUNCT
fcis-8580	100	12	17(2):023114-	17(2):023114-	NUM
fcis-8580	100	13	.	.	PUNCT
fcis-8580	101	1	[	[	X
fcis-8580	101	2	10	10	NUM
fcis-8580	101	3	]	]	X
fcis-8580	101	4	h.	h.	PROPN
fcis-8580	101	5	roghani	roghani	PROPN
fcis-8580	101	6	and	and	CCONJ
fcis-8580	101	7	a.	a.	PROPN
fcis-8580	101	8	bouyer	bouyer	PROPN
fcis-8580	101	9	,	,	PUNCT
fcis-8580	101	10	"	"	PUNCT
fcis-8580	101	11	a	a	DET
fcis-8580	101	12	fast	fast	ADJ
fcis-8580	101	13	local	local	ADJ
fcis-8580	101	14	balanced	balanced	ADJ
fcis-8580	101	15	label	label	NOUN
fcis-8580	101	16	diffusion	diffusion	NOUN
fcis-8580	101	17	algorithm	algorithm	NOUN
fcis-8580	101	18	for	for	ADP
fcis-8580	101	19	community	community	NOUN
fcis-8580	101	20	detection	detection	NOUN
fcis-8580	101	21	in	in	ADP
fcis-8580	101	22	social	social	ADJ
fcis-8580	101	23	networks	network	NOUN
fcis-8580	101	24	,	,	PUNCT
fcis-8580	101	25	"	"	PUNCT
fcis-8580	101	26	in	in	ADP
fcis-8580	101	27	ieee	ieee	NOUN
fcis-8580	101	28	transactions	transaction	NOUN
fcis-8580	101	29	on	on	ADP
fcis-8580	101	30	knowledge	knowledge	NOUN
fcis-8580	101	31	and	and	CCONJ
fcis-8580	101	32	data	datum	NOUN
fcis-8580	101	33	engineering	engineering	NOUN
fcis-8580	101	34	,	,	PUNCT
fcis-8580	101	35	vol	vol	NOUN
fcis-8580	101	36	.	.	PROPN
fcis-8580	101	37	35	35	NUM
fcis-8580	101	38	,	,	PUNCT
fcis-8580	101	39	no	no	INTJ
fcis-8580	101	40	.	.	NOUN
fcis-8580	101	41	6	6	NUM
fcis-8580	101	42	,	,	PUNCT
fcis-8580	101	43	pp	pp	ADJ
fcis-8580	101	44	.	.	PUNCT
fcis-8580	102	1	5472	5472	NUM
fcis-8580	102	2	-	-	SYM
fcis-8580	102	3	5484	5484	NUM
fcis-8580	102	4	,	,	PUNCT
fcis-8580	102	5	1	1	NUM
fcis-8580	102	6	june	june	PROPN
fcis-8580	102	7	2023	2023	NUM
fcis-8580	102	8	,	,	PUNCT
fcis-8580	102	9	doi	doi	NOUN
fcis-8580	102	10	:	:	PUNCT
fcis-8580	102	11	10.1109	10.1109	NUM
fcis-8580	102	12	/	/	SYM
fcis-8580	102	13	tkde.2022.3162161	tkde.2022.3162161	NOUN
fcis-8580	102	14	.	.	PUNCT
fcis-8580	103	1	[	[	X
fcis-8580	103	2	11	11	NUM
fcis-8580	103	3	]	]	X
fcis-8580	103	4	huawei	huawei	PROPN
fcis-8580	103	5	shen	shen	PROPN
fcis-8580	103	6	,	,	PUNCT
fcis-8580	103	7	xueqi	xueqi	PROPN
fcis-8580	103	8	cheng	cheng	PROPN
fcis-8580	103	9	,	,	PUNCT
fcis-8580	103	10	kai	kai	PROPN
fcis-8580	103	11	cai	cai	PROPN
fcis-8580	103	12	,	,	PUNCT
fcis-8580	103	13	et	et	PROPN
fcis-8580	103	14	al	al	PROPN
fcis-8580	103	15	.	.	PROPN
fcis-8580	103	16	detect	detect	PROPN
fcis-8580	103	17	overlapping	overlap	VERB
fcis-8580	103	18	and	and	CCONJ
fcis-8580	103	19	hierarchical	hierarchical	ADJ
fcis-8580	103	20	community	community	NOUN
fcis-8580	103	21	structure	structure	NOUN
fcis-8580	103	22	in	in	ADP
fcis-8580	103	23	networks[j	networks[j	PROPN
fcis-8580	103	24	]	]	PUNCT
fcis-8580	103	25	.	.	PUNCT
fcis-8580	104	1	physica	physica	PROPN
fcis-8580	104	2	a	a	PRON
fcis-8580	104	3	,	,	PUNCT
fcis-8580	104	4	2009	2009	NUM
fcis-8580	104	5	,	,	PUNCT
fcis-8580	104	6	388(8):1706	388(8):1706	PROPN
fcis-8580	104	7	-	-	NOUN
fcis-8580	104	8	1712	1712	NUM
fcis-8580	104	9	.	.	PUNCT
fcis-8580	105	1	[	[	X
fcis-8580	105	2	12	12	NUM
fcis-8580	105	3	]	]	X
fcis-8580	105	4	wayne	wayne	PROPN
fcis-8580	105	5	,	,	PUNCT
fcis-8580	105	6	w	w	PROPN
fcis-8580	105	7	,	,	PUNCT
fcis-8580	105	8	zachary	zachary	PROPN
fcis-8580	105	9	.	.	PUNCT
fcis-8580	106	1	an	an	DET
fcis-8580	106	2	information	information	NOUN
fcis-8580	106	3	flow	flow	NOUN
fcis-8580	106	4	model	model	NOUN
fcis-8580	106	5	for	for	ADP
fcis-8580	106	6	conflict	conflict	NOUN
fcis-8580	106	7	and	and	CCONJ
fcis-8580	106	8	fission	fission	NOUN
fcis-8580	106	9	in	in	ADP
fcis-8580	106	10	small	small	ADJ
fcis-8580	106	11	groups[j	groups[j	PROPN
fcis-8580	106	12	]	]	PUNCT
fcis-8580	106	13	.	.	PUNCT
fcis-8580	107	1	journal	journal	PROPN
fcis-8580	107	2	of	of	ADP
fcis-8580	107	3	anthropological	anthropological	ADJ
fcis-8580	107	4	research	research	NOUN
fcis-8580	107	5	,	,	PUNCT
fcis-8580	107	6	1977	1977	NUM
fcis-8580	107	7	,	,	PUNCT
fcis-8580	107	8	33(4):452	33(4):452	NOUN
fcis-8580	107	9	-	-	PUNCT
fcis-8580	107	10	473	473	NUM
fcis-8580	107	11	.	.	PUNCT
fcis-8580	108	1	[	[	X
fcis-8580	108	2	13	13	NUM
fcis-8580	108	3	]	]	PUNCT
fcis-8580	108	4	lusseau	lusseau	PROPN
fcis-8580	108	5	d.	d.	PROPN
fcis-8580	108	6	the	the	DET
fcis-8580	108	7	emergent	emergent	ADJ
fcis-8580	108	8	properties	property	NOUN
fcis-8580	108	9	of	of	ADP
fcis-8580	108	10	a	a	DET
fcis-8580	108	11	dolphin	dolphin	NOUN
fcis-8580	108	12	social	social	ADJ
fcis-8580	108	13	network[j	network[j	NOUN
fcis-8580	108	14	]	]	PUNCT
fcis-8580	108	15	.	.	PUNCT
fcis-8580	109	1	proceedings	proceeding	NOUN
fcis-8580	109	2	of	of	ADP
fcis-8580	109	3	the	the	DET
fcis-8580	109	4	royal	royal	ADJ
fcis-8580	109	5	society	society	NOUN
fcis-8580	109	6	b	b	PROPN
fcis-8580	109	7	:	:	PUNCT
fcis-8580	109	8	biological	biological	ADJ
fcis-8580	109	9	sciences	science	NOUN
fcis-8580	109	10	,	,	PUNCT
fcis-8580	109	11	2003	2003	NUM
fcis-8580	109	12	.	.	PUNCT
fcis-8580	110	1	[	[	X
fcis-8580	110	2	14	14	NUM
fcis-8580	110	3	]	]	PUNCT
fcis-8580	110	4	m.	m.	PROPN
fcis-8580	110	5	e.	e.	PROPN
fcis-8580	110	6	j.	j.	PROPN
fcis-8580	110	7	newman	newman	PROPN
fcis-8580	110	8	.	.	PUNCT
fcis-8580	111	1	modularity	modularity	NOUN
fcis-8580	111	2	and	and	CCONJ
fcis-8580	111	3	community	community	NOUN
fcis-8580	111	4	structure	structure	NOUN
fcis-8580	111	5	in	in	ADP
fcis-8580	111	6	networks[j	networks[j	PROPN
fcis-8580	111	7	]	]	PUNCT
fcis-8580	111	8	.	.	PUNCT
fcis-8580	112	1	proc	proc	NOUN
fcis-8580	112	2	.	.	PUNCT
fcis-8580	113	1	nat	nat	PROPN
fcis-8580	113	2	.	.	PUNCT
fcis-8580	114	1	acad	acad	PROPN
fcis-8580	114	2	.	.	PUNCT
fcis-8580	115	1	sci	sci	PROPN
fcis-8580	115	2	.	.	PROPN
fcis-8580	115	3	usa	usa	PROPN
fcis-8580	115	4	,	,	PUNCT
fcis-8580	115	5	vol	vol	NOUN
fcis-8580	115	6	.	.	PROPN
fcis-8580	115	7	103	103	NUM
fcis-8580	115	8	,	,	PUNCT
fcis-8580	115	9	no	no	INTJ
fcis-8580	115	10	.	.	NOUN
fcis-8580	115	11	23	23	NUM
fcis-8580	115	12	,	,	PUNCT
fcis-8580	115	13	pp	pp	ADJ
fcis-8580	115	14	.	.	PUNCT
fcis-8580	115	15	8577–8582	8577–8582	NUM
fcis-8580	115	16	,	,	PUNCT
fcis-8580	115	17	2006	2006	NUM
fcis-8580	115	18	.	.	PUNCT