id	sid	tid	token	lemma	pos
cana-830	1	1	communications	communication	NOUN
cana-830	1	2	on	on	ADP
cana-830	1	3	applied	apply	VERB
cana-830	1	4	nonlinear	nonlinear	ADJ
cana-830	1	5	analysis	analysis	NOUN
cana-830	1	6	issn	issn	NOUN
cana-830	1	7	:	:	PUNCT
cana-830	1	8	1074	1074	NUM
cana-830	1	9	-	-	PUNCT
cana-830	1	10	133x	133x	NUM
cana-830	1	11	vol	vol	NOUN
cana-830	1	12	31	31	NUM
cana-830	1	13	no	no	NOUN
cana-830	1	14	.	.	PUNCT
cana-830	2	1	4s	4s	NUM
cana-830	2	2	(	(	PUNCT
cana-830	2	3	2024	2024	NUM
cana-830	2	4	)	)	PUNCT
cana-830	2	5	113	113	NUM
cana-830	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-830	2	7	connected	connected	ADJ
cana-830	2	8	graph	graph	NOUN
cana-830	2	9	with	with	ADP
cana-830	2	10	bacterial	bacterial	ADJ
cana-830	2	11	graphs	graph	NOUN
cana-830	2	12	and	and	CCONJ
cana-830	2	13	network	network	NOUN
cana-830	2	14	distance	distance	NOUN
cana-830	2	15	t.	t.	PROPN
cana-830	2	16	selvaraj1	selvaraj1	PROPN
cana-830	2	17	,	,	PUNCT
cana-830	2	18	dr	dr	PROPN
cana-830	2	19	.	.	PROPN
cana-830	2	20	s.	s.	PROPN
cana-830	2	21	subramanian2	subramanian2	PROPN
cana-830	2	22	1research	1research	NUM
cana-830	2	23	scholar	scholar	NOUN
cana-830	2	24	enroll	enroll	VERB
cana-830	2	25	no:16r1612458	no:16r1612458	PROPN
cana-830	2	26	2professor	2professor	NUM
cana-830	2	27	&	&	CCONJ
cana-830	2	28	head	head	PROPN
cana-830	2	29	,	,	PUNCT
cana-830	2	30	dept	dept	NOUN
cana-830	2	31	.	.	PROPN
cana-830	2	32	of	of	ADP
cana-830	2	33	mathematics	mathematic	NOUN
cana-830	2	34	,	,	PUNCT
cana-830	2	35	1,2prist	1,2prist	PROPN
cana-830	2	36	deemed	deem	VERB
cana-830	2	37	to	to	PART
cana-830	2	38	be	be	AUX
cana-830	2	39	university	university	NOUN
cana-830	2	40	,	,	PUNCT
cana-830	2	41	thanjavur-613403	thanjavur-613403	NOUN
cana-830	2	42	.	.	PUNCT
cana-830	3	1	email	email	NOUN
cana-830	3	2	:	:	PUNCT
cana-830	3	3	jobu.selvaraj@gmail.com	jobu.selvaraj@gmail.com	X
cana-830	3	4	article	article	NOUN
cana-830	3	5	history	history	NOUN
cana-830	3	6	:	:	PUNCT
cana-830	3	7	received	receive	VERB
cana-830	3	8	:	:	PUNCT
cana-830	3	9	19	19	NUM
cana-830	3	10	-	-	PUNCT
cana-830	3	11	04	04	NUM
cana-830	3	12	-	-	PUNCT
cana-830	3	13	2024	2024	NUM
cana-830	3	14	revised	revise	VERB
cana-830	3	15	:	:	PUNCT
cana-830	3	16	03	03	NUM
cana-830	3	17	-	-	PUNCT
cana-830	3	18	06	06	NUM
cana-830	3	19	-	-	PUNCT
cana-830	3	20	2024	2024	NUM
cana-830	3	21	accepted	accept	VERB
cana-830	3	22	:	:	PUNCT
cana-830	3	23	22	22	NUM
cana-830	3	24	-	-	SYM
cana-830	3	25	06	06	NUM
cana-830	3	26	-	-	PUNCT
cana-830	3	27	2024	2024	NUM
cana-830	3	28	abstract	abstract	ADJ
cana-830	3	29	network	network	NOUN
cana-830	3	30	theory	theory	NOUN
cana-830	3	31	is	be	AUX
cana-830	3	32	going	go	VERB
cana-830	3	33	to	to	PART
cana-830	3	34	analyse	analyse	VERB
cana-830	3	35	the	the	DET
cana-830	3	36	set	set	NOUN
cana-830	3	37	of	of	ADP
cana-830	3	38	techniques	technique	NOUN
cana-830	3	39	.	.	PUNCT
cana-830	4	1	but	but	CCONJ
cana-830	4	2	in	in	ADP
cana-830	4	3	a	a	DET
cana-830	4	4	complex	complex	ADJ
cana-830	4	5	system	system	NOUN
cana-830	4	6	network	network	NOUN
cana-830	4	7	in	in	ADP
cana-830	4	8	a	a	DET
cana-830	4	9	network	network	NOUN
cana-830	4	10	of	of	ADP
cana-830	4	11	complex	complex	NOUN
cana-830	4	12	it	it	PRON
cana-830	4	13	has	have	VERB
cana-830	4	14	techniques	technique	NOUN
cana-830	4	15	to	to	PART
cana-830	4	16	analyse	analyse	VERB
cana-830	4	17	the	the	DET
cana-830	4	18	structure	structure	NOUN
cana-830	4	19	in	in	ADP
cana-830	4	20	a	a	DET
cana-830	4	21	system	system	NOUN
cana-830	4	22	of	of	ADP
cana-830	4	23	interacting	interact	VERB
cana-830	4	24	agents	agent	NOUN
cana-830	4	25	.	.	PUNCT
cana-830	5	1	the	the	DET
cana-830	5	2	graph	graph	NOUN
cana-830	5	3	theoretic	theoretic	NOUN
cana-830	5	4	representation	representation	NOUN
cana-830	5	5	means	mean	VERB
cana-830	5	6	the	the	DET
cana-830	5	7	system	system	NOUN
cana-830	5	8	is	be	AUX
cana-830	5	9	made	make	VERB
cana-830	5	10	to	to	PART
cana-830	5	11	apply	apply	VERB
cana-830	5	12	network	network	NOUN
cana-830	5	13	.	.	PUNCT
cana-830	6	1	the	the	DET
cana-830	6	2	problem	problem	NOUN
cana-830	6	3	may	may	AUX
cana-830	6	4	be	be	AUX
cana-830	6	5	converted	convert	VERB
cana-830	6	6	into	into	ADP
cana-830	6	7	graph	graph	NOUN
cana-830	6	8	by	by	ADP
cana-830	6	9	two	two	NUM
cana-830	6	10	components	component	NOUN
cana-830	6	11	namely	namely	ADV
cana-830	6	12	nodes	node	NOUN
cana-830	6	13	and	and	CCONJ
cana-830	6	14	edges	edge	NOUN
cana-830	6	15	nodes	node	NOUN
cana-830	6	16	are	be	AUX
cana-830	6	17	called	call	VERB
cana-830	6	18	as	as	SCONJ
cana-830	6	19	entities	entity	NOUN
cana-830	6	20	and	and	CCONJ
cana-830	6	21	interactions	interaction	NOUN
cana-830	6	22	between	between	ADP
cana-830	6	23	edges	edge	NOUN
cana-830	6	24	are	be	AUX
cana-830	6	25	called	call	VERB
cana-830	6	26	as	as	ADP
cana-830	6	27	edges	edge	NOUN
cana-830	6	28	.	.	PUNCT
cana-830	7	1	keywords	keyword	NOUN
cana-830	7	2	:	:	PUNCT
cana-830	7	3	connected	connected	ADJ
cana-830	7	4	graph	graph	NOUN
cana-830	7	5	,	,	PUNCT
cana-830	7	6	network	network	NOUN
cana-830	7	7	,	,	PUNCT
cana-830	7	8	bacterial	bacterial	ADJ
cana-830	7	9	,	,	PUNCT
cana-830	7	10	distance	distance	NOUN
cana-830	7	11	,	,	PUNCT
cana-830	7	12	components	component	NOUN
cana-830	7	13	.	.	PUNCT
cana-830	8	1	tracking	track	VERB
cana-830	8	2	network	network	NOUN
cana-830	8	3	dynamics	dynamic	NOUN
cana-830	8	4	using	use	VERB
cana-830	8	5	graph	graph	NOUN
cana-830	8	6	distances	distance	NOUN
cana-830	8	7	here	here	ADV
cana-830	8	8	in	in	ADP
cana-830	8	9	a	a	DET
cana-830	8	10	graph	graph	NOUN
cana-830	8	11	a	a	DET
cana-830	8	12	node	node	NOUN
cana-830	8	13	is	be	AUX
cana-830	8	14	assigned	assign	VERB
cana-830	8	15	to	to	ADP
cana-830	8	16	each	each	DET
cana-830	8	17	entity	entity	NOUN
cana-830	8	18	(	(	PUNCT
cana-830	8	19	or	or	CCONJ
cana-830	8	20	)	)	PUNCT
cana-830	8	21	player	player	NOUN
cana-830	8	22	and	and	CCONJ
cana-830	8	23	interactions	interaction	NOUN
cana-830	8	24	are	be	AUX
cana-830	8	25	modelled	model	VERB
cana-830	8	26	by	by	ADP
cana-830	8	27	edges	edge	NOUN
cana-830	8	28	.	.	PUNCT
cana-830	9	1	graphs	graph	NOUN
cana-830	9	2	have	have	VERB
cana-830	9	3	endless	endless	ADJ
cana-830	9	4	encapsulating	encapsulate	VERB
cana-830	9	5	structural	structural	ADJ
cana-830	9	6	information	information	NOUN
cana-830	9	7	in	in	ADP
cana-830	9	8	data	datum	NOUN
cana-830	9	9	sets	set	NOUN
cana-830	9	10	.	.	PUNCT
cana-830	10	1	it	it	PRON
cana-830	10	2	may	may	AUX
cana-830	10	3	become	become	VERB
cana-830	10	4	paradigm	paradigm	NOUN
cana-830	10	5	of	of	ADP
cana-830	10	6	indispensable	indispensable	ADJ
cana-830	10	7	here	here	ADV
cana-830	10	8	the	the	DET
cana-830	10	9	education	education	NOUN
cana-830	10	10	about	about	ADP
cana-830	10	11	every	every	DET
cana-830	10	12	separate	separate	ADJ
cana-830	10	13	node	node	NOUN
cana-830	10	14	marked	mark	VERB
cana-830	10	15	as	as	ADP
cana-830	10	16	interactable	interactable	ADJ
cana-830	10	17	(	(	PUNCT
cana-830	10	18	or	or	CCONJ
cana-830	10	19	)	)	PUNCT
cana-830	10	20	irrelevant	irrelevant	ADJ
cana-830	10	21	.	.	PUNCT
cana-830	11	1	intended	intend	VERB
cana-830	11	2	recording	record	VERB
cana-830	11	3	each	each	DET
cana-830	11	4	individual	individual	ADJ
cana-830	11	5	neuron	neuron	PROPN
cana-830	11	6	’s	’s	PART
cana-830	11	7	activity	activity	NOUN
cana-830	11	8	.	.	PUNCT
cana-830	12	1	the	the	DET
cana-830	12	2	neurons	neuron	NOUN
cana-830	12	3	are	be	AUX
cana-830	12	4	modelled	model	VERB
cana-830	12	5	by	by	ADP
cana-830	12	6	brain	brain	NOUN
cana-830	12	7	activity	activity	NOUN
cana-830	12	8	from	from	ADP
cana-830	12	9	brain	brain	NOUN
cana-830	12	10	data	datum	NOUN
cana-830	12	11	.	.	PUNCT
cana-830	13	1	raw	raw	ADJ
cana-830	13	2	data	datum	NOUN
cana-830	13	3	can	can	AUX
cana-830	13	4	be	be	AUX
cana-830	13	5	transferred	transfer	VERB
cana-830	13	6	as	as	ADP
cana-830	13	7	a	a	DET
cana-830	13	8	group	group	NOUN
cana-830	13	9	of	of	ADP
cana-830	13	10	graphs	graph	NOUN
cana-830	13	11	.	.	PUNCT
cana-830	14	1	input	input	NOUN
cana-830	14	2	is	be	AUX
cana-830	14	3	taken	take	VERB
cana-830	14	4	as	as	ADP
cana-830	14	5	treatable	treatable	ADJ
cana-830	14	6	.	.	PUNCT
cana-830	15	1	in	in	ADP
cana-830	15	2	the	the	DET
cana-830	15	3	identify	identify	NOUN
cana-830	15	4	notes	note	VERB
cana-830	15	5	some	some	DET
cana-830	15	6	set	set	NOUN
cana-830	15	7	of	of	ADP
cana-830	15	8	aligned	aligned	ADJ
cana-830	15	9	notes	note	NOUN
cana-830	15	10	are	be	AUX
cana-830	15	11	very	very	ADV
cana-830	15	12	important	important	ADJ
cana-830	15	13	,	,	PUNCT
cana-830	15	14	ever	ever	ADV
cana-830	15	15	though	though	SCONJ
cana-830	15	16	distances	distance	NOUN
cana-830	15	17	constitutes	constitute	VERB
cana-830	15	18	a	a	DET
cana-830	15	19	mile	mile	NOUN
cana-830	15	20	stone	stone	NOUN
cana-830	15	21	to	to	ADP
cana-830	15	22	any	any	DET
cana-830	15	23	analysis	analysis	NOUN
cana-830	15	24	of	of	ADP
cana-830	15	25	statistics	statistic	NOUN
cana-830	15	26	simultaneously	simultaneously	ADV
cana-830	15	27	comparisons	comparison	NOUN
cana-830	15	28	,	,	PUNCT
cana-830	15	29	variance	variance	NOUN
cana-830	15	30	(	(	PUNCT
cana-830	15	31	or	or	CCONJ
cana-830	15	32	)	)	PUNCT
cana-830	15	33	cluster	cluster	NOUN
cana-830	15	34	(	(	PUNCT
cana-830	15	35	or	or	CCONJ
cana-830	15	36	)	)	PUNCT
cana-830	15	37	even	even	ADV
cana-830	15	38	the	the	DET
cana-830	15	39	definition	definition	NOUN
cana-830	15	40	of	of	ADP
cana-830	15	41	median	median	PROPN
cana-830	15	42	(	(	PUNCT
cana-830	15	43	or	or	CCONJ
cana-830	15	44	)	)	PUNCT
cana-830	15	45	mean	mean	VERB
cana-830	15	46	.	.	PUNCT
cana-830	16	1	once	once	SCONJ
cana-830	16	2	the	the	DET
cana-830	16	3	distance	distance	NOUN
cana-830	16	4	has	have	AUX
cana-830	16	5	been	be	AUX
cana-830	16	6	selected	select	VERB
cana-830	16	7	,	,	PUNCT
cana-830	16	8	the	the	DET
cana-830	16	9	crucial	crucial	ADJ
cana-830	16	10	is	be	AUX
cana-830	16	11	the	the	DET
cana-830	16	12	analysis	analysis	NOUN
cana-830	16	13	graph	graph	NOUN
cana-830	16	14	data	datum	NOUN
cana-830	16	15	.	.	PUNCT
cana-830	17	1	the	the	DET
cana-830	17	2	distance	distance	NOUN
cana-830	17	3	between	between	ADP
cana-830	17	4	two	two	NUM
cana-830	17	5	unlabelled	unlabelled	ADJ
cana-830	17	6	graph	graph	NOUN
cana-830	17	7	are	be	AUX
cana-830	17	8	very	very	ADV
cana-830	17	9	important	important	ADJ
cana-830	17	10	and	and	CCONJ
cana-830	17	11	it	it	PRON
cana-830	17	12	must	must	AUX
cana-830	17	13	be	be	AUX
cana-830	17	14	well	well	ADV
cana-830	17	15	studied	study	VERB
cana-830	17	16	.	.	PUNCT
cana-830	18	1	but	but	CCONJ
cana-830	18	2	our	our	PRON
cana-830	18	3	focus	focus	NOUN
cana-830	18	4	is	be	AUX
cana-830	18	5	different	different	ADJ
cana-830	18	6	nodes	node	NOUN
cana-830	18	7	are	be	AUX
cana-830	18	8	marked	mark	VERB
cana-830	18	9	as	as	ADP
cana-830	18	10	identity	identity	NOUN
cana-830	18	11	.	.	PUNCT
cana-830	19	1	the	the	DET
cana-830	19	2	relevant	relevant	ADJ
cana-830	19	3	information	information	NOUN
cana-830	19	4	must	must	AUX
cana-830	19	5	discard	discard	VERB
cana-830	19	6	by	by	ADP
cana-830	19	7	permutation	permutation	NOUN
cana-830	19	8	invariant	invariant	ADJ
cana-830	19	9	distances	distance	NOUN
cana-830	19	10	.	.	PUNCT
cana-830	20	1	the	the	DET
cana-830	20	2	node	node	NOUN
cana-830	20	3	’s	’s	PART
cana-830	20	4	leverage	leverage	NOUN
cana-830	20	5	function	function	NOUN
cana-830	20	6	is	be	AUX
cana-830	20	7	defined	define	VERB
cana-830	20	8	by	by	ADP
cana-830	20	9	nodes	node	NOUN
cana-830	20	10	of	of	ADP
cana-830	20	11	the	the	DET
cana-830	20	12	intensity	intensity	NOUN
cana-830	20	13	of	of	ADP
cana-830	20	14	key	key	ADJ
cana-830	20	15	node	node	ADJ
cana-830	20	16	locations	location	NOUN
cana-830	20	17	.	.	PUNCT
cana-830	21	1	with	with	ADP
cana-830	21	2	the	the	DET
cana-830	21	3	distance	distance	NOUN
cana-830	21	4	sensitivity	sensitivity	NOUN
cana-830	21	5	but	but	CCONJ
cana-830	21	6	of	of	ADP
cana-830	21	7	the	the	DET
cana-830	21	8	self	self	NOUN
cana-830	21	9	-	-	PUNCT
cana-830	21	10	graph	graph	NOUN
cana-830	21	11	,	,	PUNCT
cana-830	21	12	properties	property	NOUN
cana-830	21	13	of	of	ADP
cana-830	21	14	distanced	distance	VERB
cana-830	21	15	by	by	ADP
cana-830	21	16	exhibit	exhibit	NOUN
cana-830	21	17	distinct	distinct	ADJ
cana-830	21	18	capture	capture	VERB
cana-830	21	19	various	various	ADJ
cana-830	21	20	types	type	NOUN
cana-830	21	21	of	of	ADP
cana-830	21	22	structure	structure	NOUN
cana-830	21	23	shifts	shift	NOUN
cana-830	21	24	correct	correct	VERB
cana-830	21	25	scale	scale	NOUN
cana-830	21	26	for	for	ADP
cana-830	21	27	comparing	compare	VERB
cana-830	21	28	graph	graph	NOUN
cana-830	21	29	is	be	AUX
cana-830	21	30	needed	need	VERB
cana-830	21	31	to	to	PART
cana-830	21	32	identify	identify	VERB
cana-830	21	33	decisive	decisive	ADJ
cana-830	21	34	parameter	parameter	NOUN
cana-830	21	35	.	.	PUNCT
cana-830	22	1	if	if	SCONJ
cana-830	22	2	we	we	PRON
cana-830	22	3	want	want	VERB
cana-830	22	4	to	to	PART
cana-830	22	5	do	do	VERB
cana-830	22	6	the	the	DET
cana-830	22	7	local	local	ADJ
cana-830	22	8	structural	structural	ADJ
cana-830	22	9	changes	change	NOUN
cana-830	22	10	at	at	ADP
cana-830	22	11	an	an	DET
cana-830	22	12	atomic	atomic	ADJ
cana-830	22	13	level	level	NOUN
cana-830	22	14	structural	structural	ADJ
cana-830	22	15	similarities	similarity	NOUN
cana-830	22	16	must	must	AUX
cana-830	22	17	be	be	AUX
cana-830	22	18	studied	study	VERB
cana-830	22	19	the	the	DET
cana-830	22	20	node	node	ADJ
cana-830	22	21	communities	community	NOUN
cana-830	22	22	of	of	ADP
cana-830	22	23	the	the	DET
cana-830	22	24	level	level	NOUN
cana-830	22	25	notation	notation	NOUN
cana-830	22	26	of	of	ADP
cana-830	22	27	the	the	DET
cana-830	22	28	heart	heart	NOUN
cana-830	22	29	is	be	AUX
cana-830	22	30	the	the	DET
cana-830	22	31	scale	scale	NOUN
cana-830	22	32	which	which	PRON
cana-830	22	33	is	be	AUX
cana-830	22	34	used	use	VERB
cana-830	22	35	to	to	PART
cana-830	22	36	find	find	VERB
cana-830	22	37	out	out	ADP
cana-830	22	38	different	different	ADJ
cana-830	22	39	distance	distance	NOUN
cana-830	22	40	similarities	similarity	NOUN
cana-830	22	41	between	between	ADP
cana-830	22	42	graph	graph	NOUN
cana-830	22	43	.	.	PUNCT
cana-830	23	1	the	the	DET
cana-830	23	2	distances	distance	NOUN
cana-830	23	3	may	may	AUX
cana-830	23	4	be	be	AUX
cana-830	23	5	local	local	ADJ
cana-830	23	6	,	,	PUNCT
cana-830	23	7	global	global	ADJ
cana-830	23	8	and	and	CCONJ
cana-830	23	9	meso	meso	ADJ
cana-830	23	10	scale	scale	NOUN
cana-830	23	11	.	.	PUNCT
cana-830	24	1	template	template	NOUN
cana-830	24	2	are	be	AUX
cana-830	24	3	used	use	VERB
cana-830	24	4	to	to	PART
cana-830	24	5	select	select	VERB
cana-830	24	6	the	the	DET
cana-830	24	7	data	datum	NOUN
cana-830	24	8	local	local	ADJ
cana-830	24	9	structural	structural	ADJ
cana-830	24	10	change	change	NOUN
cana-830	24	11	global	global	ADJ
cana-830	24	12	–	–	PUNCT
cana-830	24	13	spectral	spectral	ADJ
cana-830	24	14	distance	distance	NOUN
cana-830	24	15	change	change	NOUN
cana-830	24	16	there	there	PRON
cana-830	24	17	are	be	VERB
cana-830	24	18	two	two	NUM
cana-830	24	19	categories	category	NOUN
cana-830	24	20	to	to	PART
cana-830	24	21	capture	capture	VERB
cana-830	24	22	in	in	ADP
cana-830	24	23	between	between	ADP
cana-830	24	24	the	the	DET
cana-830	24	25	two	two	NUM
cana-830	24	26	meso	meso	NOUN
cana-830	24	27	scale	scale	NOUN
cana-830	24	28	is	be	AUX
cana-830	24	29	in	in	ADP
cana-830	24	30	between	between	ADP
cana-830	24	31	the	the	DET
cana-830	24	32	local	local	ADJ
cana-830	24	33	and	and	CCONJ
cana-830	24	34	global	global	ADJ
cana-830	24	35	a	a	DET
cana-830	24	36	fresh	fresh	ADJ
cana-830	24	37	group	group	NOUN
cana-830	24	38	of	of	ADP
cana-830	24	39	graph	graph	NOUN
cana-830	24	40	distances	distance	NOUN
cana-830	24	41	depends	depend	VERB
cana-830	24	42	on	on	ADP
cana-830	24	43	spectral	spectral	ADJ
cana-830	24	44	heat	heat	NOUN
cana-830	24	45	kernels	kernel	NOUN
cana-830	24	46	and	and	CCONJ
cana-830	24	47	argue	argue	VERB
cana-830	24	48	that	that	PRON
cana-830	24	49	should	should	AUX
cana-830	24	50	be	be	AUX
cana-830	24	51	optimum	optimum	ADJ
cana-830	24	52	communications	communication	NOUN
cana-830	24	53	on	on	ADP
cana-830	24	54	applied	apply	VERB
cana-830	24	55	nonlinear	nonlinear	ADJ
cana-830	24	56	analysis	analysis	NOUN
cana-830	24	57	issn	issn	NOUN
cana-830	24	58	:	:	PUNCT
cana-830	24	59	1074	1074	NUM
cana-830	24	60	-	-	PUNCT
cana-830	24	61	133x	133x	NUM
cana-830	24	62	vol	vol	NOUN
cana-830	24	63	31	31	NUM
cana-830	24	64	no	no	NOUN
cana-830	24	65	.	.	PUNCT
cana-830	25	1	4s	4s	NUM
cana-830	25	2	(	(	PUNCT
cana-830	25	3	2024	2024	NUM
cana-830	25	4	)	)	PUNCT
cana-830	25	5	114	114	NUM
cana-830	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	25	7	and	and	CCONJ
cana-830	25	8	must	must	AUX
cana-830	25	9	combine	combine	VERB
cana-830	25	10	both	both	PRON
cana-830	25	11	local	local	ADJ
cana-830	25	12	and	and	CCONJ
cana-830	25	13	global	global	ADJ
cana-830	25	14	the	the	DET
cana-830	25	15	different	different	ADJ
cana-830	25	16	performance	performance	NOUN
cana-830	25	17	is	be	AUX
cana-830	25	18	around	around	ADV
cana-830	25	19	on	on	ADP
cana-830	25	20	both	both	CCONJ
cana-830	25	21	synthetic	synthetic	ADJ
cana-830	26	1	,	,	PUNCT
cana-830	26	2	fmri	fmri	ADJ
cana-830	26	3	data	datum	NOUN
cana-830	26	4	and	and	CCONJ
cana-830	26	5	microbiome	microbiome	NOUN
cana-830	26	6	are	be	AUX
cana-830	26	7	controlled	control	VERB
cana-830	26	8	experiments	experiment	NOUN
cana-830	26	9	vertice	vertice	NOUN
cana-830	26	10	=	=	SYM
cana-830	26	11	~	~	PUNCT
cana-830	26	12	edges	edge	NOUN
cana-830	26	13	=	=	SYM
cana-830	26	14	e	e	NOUN
cana-830	26	15	n=|~|	n=|~|	PROPN
cana-830	26	16	count	count	NOUN
cana-830	26	17	of	of	ADP
cana-830	26	18	nodes	node	NOUN
cana-830	26	19	|e|=	|e|=	NOUN
cana-830	26	20	count	count	NOUN
cana-830	26	21	of	of	ADP
cana-830	26	22	edges	edge	NOUN
cana-830	26	23	j	j	PROPN
cana-830	26	24	–	–	PUNCT
cana-830	26	25	i	i	PRON
cana-830	26	26	neighbour	neighbour	NOUN
cana-830	26	27	nodes	nod	VERB
cana-830	26	28	d	d	NOUN
cana-830	26	29	=	=	SYM
cana-830	26	30	degree	degree	NOUN
cana-830	26	31	of	of	ADP
cana-830	27	1	matrix	matrix	NOUN
cana-830	27	2	aij	aij	NOUN
cana-830	27	3	=	=	SYM
cana-830	27	4	{	{	PUNCT
cana-830	27	5	1	1	NUM
cana-830	27	6	if	if	SCONJ
cana-830	27	7	i	i	PROPN
cana-830	27	8	~	~	SYM
cana-830	27	9	j	j	PROPN
cana-830	27	10	and	and	CCONJ
cana-830	27	11	0	0	NUM
cana-830	27	12	otherwise	otherwise	ADV
cana-830	27	13	d	d	PROPN
cana-830	27	14	=	=	PUNCT
cana-830	27	15	diagram	diagram	PROPN
cana-830	27	16	(	(	PUNCT
cana-830	27	17	di	di	NOUN
cana-830	27	18	)	)	PUNCT
cana-830	27	19	=	=	SYM
cana-830	27	20	i	i	NOUN
cana-830	27	21	=	=	NOUN
cana-830	27	22	1,	1,	NUM
cana-830	27	23	…	…	SYM
cana-830	27	24	.,n	.,n	PUNCT
cana-830	27	25	such	such	ADJ
cana-830	27	26	that	that	SCONJ
cana-830	27	27	,	,	PUNCT
cana-830	27	28	a	a	DET
cana-830	27	29	matric	matric	NOUN
cana-830	27	30	in	in	ADP
cana-830	27	31	symmetric	symmetric	NOUN
cana-830	27	32	at	at	ADP
cana-830	27	33	=	=	PUNCT
cana-830	27	34	a	a	DET
cana-830	27	35	l	l	NOUN
cana-830	27	36	=	=	PUNCT
cana-830	27	37	–	–	PUNCT
cana-830	27	38	a+	a+	PUNCT
cana-830	27	39	d	d	NOUN
cana-830	27	40	(	(	PUNCT
cana-830	27	41	laplacian	laplacian	PROPN
cana-830	27	42	’s	’s	NOUN
cana-830	27	43	)	)	PUNCT
cana-830	27	44	laplacian	laplacian	NOUN
cana-830	27	45	is	be	AUX
cana-830	27	46	symmetric	symmetric	ADJ
cana-830	27	47	and	and	CCONJ
cana-830	27	48	its	its	PRON
cana-830	27	49	true	true	ADJ
cana-830	27	50	eign	eign	ADJ
cana-830	27	51	value	value	NOUN
cana-830	27	52	decomposition	decomposition	NOUN
cana-830	27	53	l	l	NOUN
cana-830	27	54	=	=	SYM
cana-830	27	55	u	u	NOUN
cana-830	27	56	^	^	PUNCT
cana-830	27	57	ut	ut	PROPN
cana-830	27	58	u	u	NOUN
cana-830	27	59	=	=	NOUN
cana-830	27	60	unitary	unitary	ADJ
cana-830	27	61	matrix	matrix	NOUN
cana-830	27	62	^	^	PUNCT
cana-830	27	63	=	=	SYM
cana-830	27	64	diag(λi	diag(λi	PROPN
cana-830	27	65	)	)	PUNCT
cana-830	27	66	is	be	AUX
cana-830	27	67	the	the	DET
cana-830	27	68	diagonal	diagonal	ADJ
cana-830	27	69	matrix	matrix	NOUN
cana-830	27	70	of	of	ADP
cana-830	27	71	the	the	DET
cana-830	27	72	eign	eign	ADJ
cana-830	27	73	values	value	NOUN
cana-830	27	74	quantifying	quantify	VERB
cana-830	27	75	structural	structural	ADJ
cana-830	27	76	distances	distance	NOUN
cana-830	27	77	via	via	ADP
cana-830	27	78	local	local	ADJ
cana-830	27	79	changes	change	NOUN
cana-830	27	80	distances	distance	NOUN
cana-830	27	81	between	between	ADP
cana-830	27	82	graph	graph	NOUN
cana-830	27	83	are	be	AUX
cana-830	27	84	only	only	ADV
cana-830	27	85	mutually	mutually	ADV
cana-830	27	86	exclusive	exclusive	ADJ
cana-830	27	87	(	(	PUNCT
cana-830	27	88	or	or	CCONJ
cana-830	27	89	)	)	PUNCT
cana-830	27	90	structural	structural	ADJ
cana-830	27	91	version	version	NOUN
cana-830	27	92	.	.	PUNCT
cana-830	28	1	spectral	spectral	ADJ
cana-830	28	2	distances	distance	NOUN
cana-830	28	3	in	in	ADP
cana-830	28	4	local	local	ADJ
cana-830	28	5	changes	change	NOUN
cana-830	28	6	the	the	DET
cana-830	28	7	graph	graph	NOUN
cana-830	28	8	structure	structure	NOUN
cana-830	28	9	at	at	ADP
cana-830	28	10	each	each	DET
cana-830	28	11	node	node	NOUN
cana-830	28	12	is	be	AUX
cana-830	28	13	different	different	ADJ
cana-830	28	14	but	but	CCONJ
cana-830	28	15	it	it	PRON
cana-830	28	16	induces	induce	VERB
cana-830	28	17	local	local	ADJ
cana-830	28	18	changes	change	NOUN
cana-830	28	19	.	.	PUNCT
cana-830	29	1	example	example	VERB
cana-830	29	2	different	different	ADJ
cana-830	29	3	bonds	bond	NOUN
cana-830	29	4	in	in	ADP
cana-830	29	5	different	different	ADJ
cana-830	29	6	molecules	molecule	NOUN
cana-830	29	7	are	be	AUX
cana-830	29	8	having	have	VERB
cana-830	29	9	different	different	ADJ
cana-830	29	10	properties	property	NOUN
cana-830	29	11	.	.	PUNCT
cana-830	30	1	but	but	CCONJ
cana-830	30	2	in	in	ADP
cana-830	30	3	brain	brain	NOUN
cana-830	30	4	network	network	NOUN
cana-830	30	5	these	these	DET
cana-830	30	6	distances	distance	NOUN
cana-830	30	7	can	can	AUX
cana-830	30	8	be	be	AUX
cana-830	30	9	noted	note	VERB
cana-830	30	10	as	as	ADP
cana-830	30	11	(	(	PUNCT
cana-830	30	12	roi	roi	NOUN
cana-830	30	13	)	)	PUNCT
cana-830	30	14	individual	individual	ADJ
cana-830	30	15	region	region	NOUN
cana-830	30	16	of	of	ADP
cana-830	30	17	interest	interest	NOUN
cana-830	30	18	.	.	PUNCT
cana-830	31	1	the	the	DET
cana-830	31	2	other	other	ADJ
cana-830	31	3	is	be	AUX
cana-830	31	4	identified	identify	VERB
cana-830	31	5	by	by	ADP
cana-830	31	6	graph	graph	NOUN
cana-830	31	7	structure	structure	NOUN
cana-830	31	8	change	change	NOUN
cana-830	31	9	in	in	ADP
cana-830	31	10	the	the	DET
cana-830	31	11	laplacian	laplacian	ADJ
cana-830	31	12	eign	eign	ADJ
cana-830	31	13	values	value	NOUN
cana-830	31	14	(	(	PUNCT
cana-830	31	15	or	or	CCONJ
cana-830	31	16	)	)	PUNCT
cana-830	31	17	its	its	PRON
cana-830	31	18	adjacent	adjacent	ADJ
cana-830	31	19	matrix	matrix	NOUN
cana-830	31	20	,	,	PUNCT
cana-830	31	21	distance	distance	NOUN
cana-830	31	22	marks	mark	VERB
cana-830	31	23	the	the	DET
cana-830	31	24	graph	graph	NOUN
cana-830	31	25	properties	property	NOUN
cana-830	31	26	how	how	SCONJ
cana-830	31	27	nodes	node	NOUN
cana-830	31	28	are	be	AUX
cana-830	31	29	functioning	function	VERB
cana-830	31	30	with	with	ADP
cana-830	31	31	nodes	node	NOUN
cana-830	31	32	(	(	PUNCT
cana-830	31	33	or	or	CCONJ
cana-830	31	34	)	)	PUNCT
cana-830	31	35	globally	globally	ADV
cana-830	31	36	organized	organize	VERB
cana-830	31	37	and	and	CCONJ
cana-830	31	38	interact	interact	VERB
cana-830	31	39	.	.	PUNCT
cana-830	32	1	in	in	ADP
cana-830	32	2	brain	brain	NOUN
cana-830	32	3	networks	network	NOUN
cana-830	32	4	change	change	VERB
cana-830	32	5	in	in	ADP
cana-830	32	6	connectivity	connectivity	NOUN
cana-830	32	7	is	be	AUX
cana-830	32	8	assured	assure	VERB
cana-830	32	9	globally	globally	ADV
cana-830	32	10	with	with	ADP
cana-830	32	11	spectral	spectral	ADJ
cana-830	32	12	distance	distance	NOUN
cana-830	32	13	.	.	PUNCT
cana-830	33	1	the	the	DET
cana-830	33	2	hamming	hamming	NOUN
cana-830	33	3	distance	distance	NOUN
cana-830	33	4	the	the	DET
cana-830	33	5	count	count	NOUN
cana-830	33	6	of	of	ADP
cana-830	33	7	edge	edge	NOUN
cana-830	33	8	insertions	insertion	NOUN
cana-830	33	9	and	and	CCONJ
cana-830	33	10	deletions	deletion	NOUN
cana-830	33	11	necessary	necessary	ADJ
cana-830	33	12	to	to	PART
cana-830	33	13	transfer	transfer	VERB
cana-830	33	14	in	in	ADP
cana-830	33	15	between	between	ADP
cana-830	33	16	two	two	NUM
cana-830	33	17	graphs	graph	NOUN
cana-830	33	18	.	.	PUNCT
cana-830	34	1	let	let	VERB
cana-830	34	2	g̃	g̃	PROPN
cana-830	34	3	and	and	CCONJ
cana-830	34	4	g	g	NOUN
cana-830	34	5	are	be	AUX
cana-830	34	6	2	2	NUM
cana-830	34	7	graphs	graph	NOUN
cana-830	34	8	on	on	ADP
cana-830	34	9	nodes	node	NOUN
cana-830	34	10	n.	n.	VERB
cana-830	34	11	there	there	PRON
cana-830	34	12	adjacent	adjacent	ADJ
cana-830	34	13	metrices	metrice	NOUN
cana-830	34	14	are	be	AUX
cana-830	34	15	a	a	PRON
cana-830	34	16	and	and	CCONJ
cana-830	34	17	a˜	a˜	PROPN
cana-830	34	18	hanning	hanning	PROPN
cana-830	34	19	distance	distance	NOUN
cana-830	34	20	is	be	AUX
cana-830	34	21	defined	define	VERB
cana-830	34	22	by	by	ADP
cana-830	34	23	bounded	bounded	ADJ
cana-830	34	24	distance	distance	NOUN
cana-830	34	25	between	between	ADP
cana-830	34	26	1	1	NUM
cana-830	34	27	and	and	CCONJ
cana-830	34	28	0	0	NUM
cana-830	34	29	in	in	ADP
cana-830	34	30	over	over	ADP
cana-830	34	31	all	all	DET
cana-830	34	32	graph	graph	NOUN
cana-830	34	33	of	of	ADP
cana-830	34	34	sizes	size	NOUN
cana-830	34	35	‘	'	PUNCT
cana-830	34	36	n	n	CCONJ
cana-830	34	37	’	'	PUNCT
cana-830	34	38	analysis	analysis	NOUN
cana-830	34	39	of	of	ADP
cana-830	34	40	frame	frame	NOUN
cana-830	34	41	work	work	NOUN
cana-830	34	42	in	in	ADP
cana-830	34	43	general	general	ADJ
cana-830	34	44	the	the	DET
cana-830	34	45	frame	frame	NOUN
cana-830	34	46	work	work	NOUN
cana-830	34	47	and	and	CCONJ
cana-830	34	48	graph	graph	NOUN
cana-830	34	49	are	be	AUX
cana-830	34	50	related	relate	VERB
cana-830	34	51	one	one	NUM
cana-830	34	52	.	.	PUNCT
cana-830	35	1	pairwire	pairwire	NOUN
cana-830	35	2	dissimilarities	dissimilarity	NOUN
cana-830	35	3	among	among	ADP
cana-830	35	4	the	the	DET
cana-830	35	5	graph	graph	NOUN
cana-830	35	6	in	in	ADP
cana-830	35	7	the	the	DET
cana-830	35	8	matrich	matrich	NOUN
cana-830	35	9	is	be	AUX
cana-830	35	10	n	n	ADV
cana-830	35	11	by	by	ADP
cana-830	35	12	n	n	CCONJ
cana-830	35	13	dimensional	dimensional	ADJ
cana-830	35	14	matrix	matrix	NOUN
cana-830	35	15	h	h	NOUN
cana-830	35	16	where	where	SCONJ
cana-830	35	17	,	,	PUNCT
cana-830	35	18	communications	communication	NOUN
cana-830	35	19	on	on	ADP
cana-830	35	20	applied	apply	VERB
cana-830	35	21	nonlinear	nonlinear	ADJ
cana-830	35	22	analysis	analysis	NOUN
cana-830	35	23	issn	issn	NOUN
cana-830	35	24	:	:	PUNCT
cana-830	35	25	1074	1074	NUM
cana-830	35	26	-	-	PUNCT
cana-830	35	27	133x	133x	NUM
cana-830	35	28	vol	vol	NOUN
cana-830	35	29	31	31	NUM
cana-830	35	30	no	no	NOUN
cana-830	35	31	.	.	PUNCT
cana-830	36	1	4s	4s	NUM
cana-830	36	2	(	(	PUNCT
cana-830	36	3	2024	2024	NUM
cana-830	36	4	)	)	PUNCT
cana-830	36	5	115	115	NUM
cana-830	36	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	36	7	dimensional	dimensional	ADJ
cana-830	36	8	matrix	matrix	NOUN
cana-830	36	9	,	,	PUNCT
cana-830	36	10	hij	hij	PROPN
cana-830	36	11	=	=	SYM
cana-830	36	12	d(gi	d(gi	PROPN
cana-830	36	13	,	,	PUNCT
cana-830	36	14	gj	gj	NOUN
cana-830	36	15	)	)	PUNCT
cana-830	36	16	n	n	NOUN
cana-830	36	17	=	=	NOUN
cana-830	36	18	number	number	NOUN
cana-830	36	19	of	of	ADP
cana-830	36	20	graphs	graph	NOUN
cana-830	36	21	n	n	PRON
cana-830	36	22	=	=	SYM
cana-830	36	23	21	21	NUM
cana-830	36	24	micro	micro	NOUN
cana-830	36	25	biome	biome	NOUN
cana-830	36	26	n	n	PRON
cana-830	36	27	=	=	SYM
cana-830	36	28	29	29	NUM
cana-830	36	29	fmri	fmri	PROPN
cana-830	36	30	data	datum	NOUN
cana-830	36	31	set	set	VERB
cana-830	36	32	h	h	NOUN
cana-830	36	33	can	can	AUX
cana-830	36	34	be	be	AUX
cana-830	36	35	analysed	analyse	VERB
cana-830	36	36	in	in	ADP
cana-830	36	37	various	various	ADJ
cana-830	36	38	ways	way	NOUN
cana-830	36	39	every	every	DET
cana-830	36	40	distance	distance	NOUN
cana-830	36	41	is	be	AUX
cana-830	36	42	used	use	VERB
cana-830	36	43	for	for	ADP
cana-830	36	44	the	the	DET
cana-830	36	45	analysis	analysis	NOUN
cana-830	36	46	of	of	ADP
cana-830	36	47	(	(	PUNCT
cana-830	36	48	c	c	NOUN
cana-830	36	49	)	)	PUNCT
cana-830	36	50	the	the	DET
cana-830	36	51	graph	graph	NOUN
cana-830	36	52	variability	variability	NOUN
cana-830	36	53	from	from	ADP
cana-830	36	54	time	time	NOUN
cana-830	36	55	to	to	ADP
cana-830	36	56	time	time	NOUN
cana-830	36	57	is	be	AUX
cana-830	36	58	mentioned	mention	VERB
cana-830	36	59	by	by	ADP
cana-830	36	60	various	various	ADJ
cana-830	36	61	distance	distance	NOUN
cana-830	36	62	between	between	ADP
cana-830	36	63	next	next	ADJ
cana-830	36	64	to	to	ADP
cana-830	36	65	next	next	ADJ
cana-830	36	66	graphs	graph	NOUN
cana-830	36	67	h	h	NOUN
cana-830	36	68	between	between	ADP
cana-830	36	69	graphs	graph	NOUN
cana-830	36	70	[	[	X
cana-830	36	71	fig	fig	NOUN
cana-830	36	72	1(a	1(a	NUM
cana-830	36	73	)	)	PUNCT
cana-830	36	74	,	,	PUNCT
cana-830	36	75	e	e	X
cana-830	36	76	]	]	PUNCT
cana-830	36	77	and	and	CCONJ
cana-830	36	78	their	their	PRON
cana-830	36	79	low	low	ADJ
cana-830	36	80	dimensional	dimensional	ADJ
cana-830	36	81	projections	projection	NOUN
cana-830	36	82	.	.	PUNCT
cana-830	37	1	it	it	PRON
cana-830	37	2	shows	show	VERB
cana-830	37	3	how	how	SCONJ
cana-830	37	4	much	much	ADJ
cana-830	37	5	relationship	relationship	NOUN
cana-830	37	6	it	it	PRON
cana-830	37	7	captures	capture	VERB
cana-830	37	8	between	between	ADP
cana-830	37	9	connectivity	connectivity	NOUN
cana-830	37	10	and	and	CCONJ
cana-830	37	11	count	count	NOUN
cana-830	37	12	of	of	ADP
cana-830	37	13	years	year	NOUN
cana-830	37	14	only	only	ADV
cana-830	37	15	that	that	DET
cana-830	37	16	subject	subject	NOUN
cana-830	37	17	under	under	ADP
cana-830	37	18	time	time	NOUN
cana-830	37	19	passed	pass	VERB
cana-830	37	20	cocacine	cocacine	NOUN
cana-830	37	21	relativity	relativity	NOUN
cana-830	37	22	.	.	PUNCT
cana-830	38	1	application	application	NOUN
cana-830	38	2	fig	fig	NOUN
cana-830	39	1	[	[	X
cana-830	39	2	1	1	NUM
cana-830	39	3	]	]	PUNCT
cana-830	39	4	mention	mention	VERB
cana-830	39	5	the	the	DET
cana-830	39	6	result	result	NOUN
cana-830	39	7	of	of	ADP
cana-830	39	8	microbiome	microbiome	NOUN
cana-830	39	9	on	on	ADP
cana-830	39	10	both	both	CCONJ
cana-830	39	11	bacterial	bacterial	ADJ
cana-830	39	12	using	use	VERB
cana-830	39	13	hamming	hamming	NOUN
cana-830	39	14	distance	distance	NOUN
cana-830	39	15	as	as	ADV
cana-830	39	16	well	well	ADV
cana-830	39	17	as	as	ADP
cana-830	39	18	fmri	fmri	PROPN
cana-830	39	19	data	data	PROPN
cana-830	39	20	.	.	PUNCT
cana-830	40	1	result	result	VERB
cana-830	40	2	the	the	DET
cana-830	40	3	fig	fig	NOUN
cana-830	40	4	(	(	PUNCT
cana-830	40	5	1	1	X
cana-830	40	6	)	)	PUNCT
cana-830	40	7	shows	show	VERB
cana-830	40	8	the	the	DET
cana-830	40	9	bacterial	bacterial	ADJ
cana-830	40	10	community	community	NOUN
cana-830	40	11	graph	graph	NOUN
cana-830	40	12	in	in	ADP
cana-830	40	13	which	which	PRON
cana-830	40	14	hamming	hamming	NOUN
cana-830	40	15	distance	distance	NOUN
cana-830	40	16	is	be	AUX
cana-830	40	17	completed	complete	VERB
cana-830	40	18	throughout	throughout	ADP
cana-830	40	19	the	the	DET
cana-830	40	20	treatment	treatment	NOUN
cana-830	40	21	course	course	NOUN
cana-830	40	22	.	.	PUNCT
cana-830	41	1	in	in	ADP
cana-830	41	2	fig	fig	NOUN
cana-830	41	3	1[c	1[c	NOUN
cana-830	41	4	]	]	X
cana-830	41	5	the	the	DET
cana-830	41	6	distance	distance	NOUN
cana-830	41	7	between	between	ADP
cana-830	41	8	2	2	NUM
cana-830	41	9	consecutive	consecutive	ADJ
cana-830	41	10	graphs	graph	NOUN
cana-830	41	11	just	just	ADV
cana-830	41	12	often	often	ADV
cana-830	41	13	antibiotic	antibiotic	ADJ
cana-830	41	14	courses	course	NOUN
cana-830	41	15	c	c	NOUN
cana-830	41	16	fig	fig	NOUN
cana-830	42	1	[	[	X
cana-830	42	2	1	1	NUM
cana-830	42	3	]	]	PUNCT
cana-830	42	4	b	b	NOUN
cana-830	42	5	shows	show	VERB
cana-830	42	6	the	the	DET
cana-830	42	7	treatment	treatment	NOUN
cana-830	42	8	gradient	gradient	NOUN
cana-830	42	9	communications	communication	NOUN
cana-830	42	10	on	on	ADP
cana-830	42	11	applied	apply	VERB
cana-830	42	12	nonlinear	nonlinear	ADJ
cana-830	42	13	analysis	analysis	NOUN
cana-830	42	14	issn	issn	NOUN
cana-830	42	15	:	:	PUNCT
cana-830	42	16	1074	1074	NUM
cana-830	42	17	-	-	PUNCT
cana-830	42	18	133x	133x	NUM
cana-830	42	19	vol	vol	NOUN
cana-830	42	20	31	31	NUM
cana-830	42	21	no	no	NOUN
cana-830	42	22	.	.	PUNCT
cana-830	43	1	4s	4s	NUM
cana-830	43	2	(	(	PUNCT
cana-830	43	3	2024	2024	NUM
cana-830	43	4	)	)	PUNCT
cana-830	43	5	116	116	NUM
cana-830	43	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	43	7	a	a	DET
cana-830	43	8	hamming	hamming	NOUN
cana-830	43	9	distance	distance	NOUN
cana-830	43	10	between	between	ADP
cana-830	43	11	the	the	DET
cana-830	43	12	bacterial	bacterial	ADJ
cana-830	43	13	graphs	graph	NOUN
cana-830	43	14	tops	top	VERB
cana-830	43	15	rows	row	NOUN
cana-830	43	16	and	and	CCONJ
cana-830	43	17	brain	brain	NOUN
cana-830	43	18	graph	graph	NOUN
cana-830	43	19	located	locate	VERB
cana-830	43	20	at	at	ADP
cana-830	43	21	bottom	bottom	ADJ
cana-830	43	22	bacterial	bacterial	ADJ
cana-830	43	23	graph	graph	NOUN
cana-830	43	24	–	–	PUNCT
cana-830	43	25	a	a	DET
cana-830	43	26	b	b	NOUN
cana-830	43	27	–	–	PUNCT
cana-830	43	28	mds	mds	NOUN
cana-830	43	29	projections	projection	NOUN
cana-830	43	30	of	of	ADP
cana-830	43	31	the	the	DET
cana-830	43	32	first	first	ADJ
cana-830	43	33	two	two	NUM
cana-830	43	34	principal	principal	ADJ
cana-830	43	35	component	component	NOUN
cana-830	43	36	colour	colour	NOUN
cana-830	43	37	–	–	PUNCT
cana-830	43	38	phaser	phaser	NOUN
cana-830	43	39	shape	shape	NOUN
cana-830	43	40	–	–	PUNCT
cana-830	43	41	different	different	ADJ
cana-830	43	42	subject	subject	NOUN
cana-830	43	43	in	in	ADP
cana-830	43	44	the	the	DET
cana-830	43	45	graph	graph	NOUN
cana-830	43	46	c	c	NOUN
cana-830	43	47	plot	plot	VERB
cana-830	43	48	the	the	DET
cana-830	43	49	next	next	ADJ
cana-830	43	50	to	to	ADP
cana-830	43	51	next	next	ADJ
cana-830	43	52	distance	distance	NOUN
cana-830	43	53	in	in	ADP
cana-830	43	54	between	between	ADP
cana-830	43	55	bacterial	bacterial	ADJ
cana-830	43	56	graph	graph	NOUN
cana-830	43	57	[	[	X
cana-830	43	58	c	c	X
cana-830	43	59	]	]	X
cana-830	43	60	g	g	NOUN
cana-830	43	61	–	–	PUNCT
cana-830	43	62	distance	distance	NOUN
cana-830	43	63	between	between	ADP
cana-830	43	64	minimum	minimum	NOUN
cana-830	43	65	spanning	span	VERB
cana-830	43	66	tree	tree	NOUN
cana-830	43	67	g	g	NOUN
cana-830	43	68	hamming	hamming	NOUN
cana-830	43	69	distance	distance	NOUN
cana-830	43	70	f	f	PROPN
cana-830	43	71	–	–	PUNCT
cana-830	43	72	friedman	friedman	PROPN
cana-830	43	73	–	–	PUNCT
cana-830	43	74	refsky	refsky	ADJ
cana-830	43	75	test	test	NOUN
cana-830	43	76	for	for	ADP
cana-830	43	77	significance	significance	NOUN
cana-830	43	78	for	for	ADP
cana-830	43	79	the	the	DET
cana-830	43	80	diff	diff	NOUN
cana-830	43	81	data	datum	NOUN
cana-830	43	82	set	set	VERB
cana-830	43	83	e	e	NOUN
cana-830	43	84	–	–	PUNCT
cana-830	43	85	cluster	cluster	NOUN
cana-830	43	86	map	map	NOUN
cana-830	43	87	of	of	ADP
cana-830	43	88	the	the	DET
cana-830	43	89	fmri	fmri	PROPN
cana-830	43	90	graph	graph	NOUN
cana-830	43	91	g	g	PROPN
cana-830	43	92	–	–	PUNCT
cana-830	43	93	minimum	minimum	ADJ
cana-830	43	94	spanning	span	VERB
cana-830	43	95	tree	tree	NOUN
cana-830	43	96	between	between	ADP
cana-830	43	97	brain	brain	NOUN
cana-830	43	98	connections	connection	NOUN
cana-830	43	99	induced	induce	VERB
cana-830	43	100	g	g	ADP
cana-830	43	101	the	the	DET
cana-830	43	102	jaccard	jaccard	ADJ
cana-830	43	103	distance	distance	NOUN
cana-830	43	104	it	it	PRON
cana-830	43	105	is	be	AUX
cana-830	43	106	union	union	NOUN
cana-830	43	107	graph	graph	NOUN
cana-830	43	108	with	with	ADP
cana-830	43	109	respect	respect	NOUN
cana-830	43	110	to	to	ADP
cana-830	43	111	volume	volume	NOUN
cana-830	43	112	in	in	ADP
cana-830	43	113	normalization	normalization	NOUN
cana-830	43	114	where	where	SCONJ
cana-830	43	115	||.||	||.||	NOUN
cana-830	43	116	*	*	PUNCT
cana-830	43	117	mentions	mention	VERB
cana-830	43	118	the	the	DET
cana-830	43	119	matrix	matrix	NOUN
cana-830	43	120	of	of	ADP
cana-830	43	121	nuclear	nuclear	ADJ
cana-830	43	122	form	form	NOUN
cana-830	43	123	.	.	PUNCT
cana-830	44	1	the	the	DET
cana-830	44	2	above	above	ADJ
cana-830	44	3	notation	notation	NOUN
cana-830	44	4	denotes	denote	VERB
cana-830	44	5	the	the	DET
cana-830	44	6	sharp	sharp	ADJ
cana-830	44	7	distance	distance	NOUN
cana-830	44	8	between	between	ADP
cana-830	44	9	the	the	DET
cana-830	44	10	graphs	graph	NOUN
cana-830	44	11	.	.	PUNCT
cana-830	45	1	according	accord	VERB
cana-830	45	2	to	to	ADP
cana-830	45	3	steinhus	steinhus	PROPN
cana-830	45	4	transform	transform	NOUN
cana-830	45	5	produces	produce	VERB
cana-830	45	6	c	c	NOUN
cana-830	45	7	matric	matric	NOUN
cana-830	45	8	d	d	NOUN
cana-830	45	9	=	=	SYM
cana-830	45	10	hamming	hamming	NOUN
cana-830	45	11	distance	distance	NOUN
cana-830	45	12	c	c	NOUN
cana-830	45	13	=	=	NOUN
cana-830	45	14	empty	empty	ADJ
cana-830	45	15	graph	graph	NOUN
cana-830	45	16	a	a	DET
cana-830	45	17	distances	distance	NOUN
cana-830	45	18	between	between	ADP
cana-830	45	19	bacterial	bacterial	ADJ
cana-830	45	20	graphs	graph	NOUN
cana-830	45	21	and	and	CCONJ
cana-830	45	22	kendall	kendall	NOUN
cana-830	45	23	-	-	PUNCT
cana-830	45	24	correlation	correlation	NOUN
cana-830	45	25	by	by	ADP
cana-830	45	26	jaccard	jaccard	PROPN
cana-830	45	27	b	b	PROPN
cana-830	45	28	consecutive	consecutive	ADJ
cana-830	45	29	distances	distance	NOUN
cana-830	45	30	in	in	ADP
cana-830	45	31	between	between	ADP
cana-830	45	32	two	two	NUM
cana-830	45	33	bacterial	bacterial	ADJ
cana-830	45	34	group	group	NOUN
cana-830	45	35	c	c	PROPN
cana-830	45	36	–	–	PUNCT
cana-830	45	37	bacterial	bacterial	PROPN
cana-830	45	38	’s	’s	PART
cana-830	45	39	mds	mds	PROPN
cana-830	45	40	projection	projection	NOUN
cana-830	45	41	d	d	X
cana-830	45	42	minimum	minimum	ADJ
cana-830	45	43	spanning	span	VERB
cana-830	45	44	tree	tree	NOUN
cana-830	45	45	between	between	ADP
cana-830	45	46	bacterial	bacterial	ADJ
cana-830	45	47	graphs	graph	NOUN
cana-830	45	48	edge	edge	NOUN
cana-830	45	49	-	-	PUNCT
cana-830	45	50	importance	importance	NOUN
cana-830	45	51	disconnected	disconnected	ADJ
cana-830	45	52	components	component	NOUN
cana-830	45	53	should	should	AUX
cana-830	45	54	be	be	AUX
cana-830	45	55	penalized	penalize	VERB
cana-830	45	56	more	more	ADJ
cana-830	45	57	.	.	PUNCT
cana-830	46	1	communications	communication	NOUN
cana-830	46	2	on	on	ADP
cana-830	46	3	applied	apply	VERB
cana-830	46	4	nonlinear	nonlinear	ADJ
cana-830	46	5	analysis	analysis	NOUN
cana-830	46	6	issn	issn	NOUN
cana-830	46	7	:	:	PUNCT
cana-830	46	8	1074	1074	NUM
cana-830	46	9	-	-	PUNCT
cana-830	46	10	133x	133x	NUM
cana-830	46	11	vol	vol	NOUN
cana-830	46	12	31	31	NUM
cana-830	46	13	no	no	NOUN
cana-830	46	14	.	.	PUNCT
cana-830	47	1	4s	4s	NUM
cana-830	47	2	(	(	PUNCT
cana-830	47	3	2024	2024	NUM
cana-830	47	4	)	)	PUNCT
cana-830	47	5	117	117	NUM
cana-830	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	47	7	initial	initial	ADJ
cana-830	47	8	graph	graph	NOUN
cana-830	47	9	g1	g1	PROPN
cana-830	47	10	edge	edge	NOUN
cana-830	47	11	-	-	PUNCT
cana-830	47	12	submodularity	submodularity	NOUN
cana-830	47	13	in	in	ADP
cana-830	47	14	a	a	DET
cana-830	47	15	same	same	ADJ
cana-830	47	16	nodes	node	NOUN
cana-830	47	17	edge	edge	VERB
cana-830	47	18	get	get	AUX
cana-830	47	19	charged	charge	VERB
cana-830	47	20	perturbation	perturbation	NOUN
cana-830	47	21	of	of	ADP
cana-830	47	22	g1	g1	PROPN
cana-830	47	23	four	four	NUM
cana-830	47	24	edge	edge	NOUN
cana-830	47	25	insertions	insertion	NOUN
cana-830	47	26	weight	weight	NOUN
cana-830	47	27	awareness	awareness	NOUN
cana-830	47	28	it	it	PRON
cana-830	47	29	denotes	denote	VERB
cana-830	47	30	weight	weight	NOUN
cana-830	47	31	of	of	ADP
cana-830	47	32	modified	modify	VERB
cana-830	47	33	perturbation	perturbation	NOUN
cana-830	47	34	of	of	ADP
cana-830	47	35	g1	g1	PROPN
cana-830	47	36	:	:	PUNCT
cana-830	47	37	2	2	NUM
cana-830	47	38	edge	edge	NOUN
cana-830	47	39	insertions,2	insertions,2	NOUN
cana-830	47	40	deletions	deletion	NOUN
cana-830	47	41	focus	focus	VERB
cana-830	47	42	awareness	awareness	NOUN
cana-830	47	43	random	random	ADJ
cana-830	47	44	changes	change	NOUN
cana-830	47	45	in	in	ADP
cana-830	47	46	not	not	PART
cana-830	47	47	important	important	ADJ
cana-830	47	48	not	not	PART
cana-830	47	49	even	even	ADV
cana-830	47	50	happened	happen	VERB
cana-830	47	51	jaccard	jaccard	ADJ
cana-830	47	52	and	and	CCONJ
cana-830	47	53	humming	hum	VERB
cana-830	47	54	distance	distance	NOUN
cana-830	47	55	treat	treat	VERB
cana-830	47	56	all	all	DET
cana-830	47	57	edges	edge	VERB
cana-830	47	58	uniformly	uniformly	ADV
cana-830	47	59	.	.	PUNCT
cana-830	48	1	comparing	compare	VERB
cana-830	48	2	graph	graph	NOUN
cana-830	48	3	structures	structure	NOUN
cana-830	48	4	spectral	spectral	ADJ
cana-830	48	5	distances	distance	NOUN
cana-830	48	6	are	be	AUX
cana-830	48	7	global	global	ADJ
cana-830	48	8	=	=	PUNCT
cana-830	48	9	eign	eign	ADJ
cana-830	48	10	values	value	NOUN
cana-830	48	11	of	of	ADP
cana-830	48	12	either	either	CCONJ
cana-830	48	13	(	(	PUNCT
cana-830	48	14	or	or	CCONJ
cana-830	48	15	)	)	PUNCT
cana-830	48	16	adjacency	adjacency	NOUN
cana-830	48	17	matrix	matrix	NOUN
cana-830	48	18	l	l	NOUN
cana-830	49	1	=	=	PUNCT
cana-830	49	2	d	d	PROPN
cana-830	49	3	–	–	PUNCT
cana-830	49	4	a	a	DET
cana-830	49	5	l	l	NOUN
cana-830	49	6	=	=	X
cana-830	49	7	laplacian	laplacian	ADJ
cana-830	49	8	d	d	X
cana-830	49	9	=	=	SYM
cana-830	49	10	diagonal	diagonal	ADJ
cana-830	49	11	matrix	matrix	NOUN
cana-830	49	12	a	a	DET
cana-830	49	13	=	=	PUNCT
cana-830	49	14	adjacency	adjacency	NOUN
cana-830	49	15	matrix	matrix	NOUN
cana-830	49	16	normalized	normalize	VERB
cana-830	49	17	laplacian	laplacian	ADJ
cana-830	49	18	,	,	PUNCT
cana-830	49	19	l̃	l̃	PROPN
cana-830	50	1	=	=	NOUN
cana-830	51	1	i	i	PRON
cana-830	51	2	d−1/2a	d−1/2a	VERB
cana-830	51	3	d−1/2	d−1/2	PROPN
cana-830	52	1	lp	lp	ADJ
cana-830	52	2	distances	distance	NOUN
cana-830	52	3	on	on	ADP
cana-830	52	4	the	the	DET
cana-830	52	5	eigen	eigen	PROPN
cana-830	52	6	values	value	NOUN
cana-830	52	7	communications	communication	NOUN
cana-830	52	8	on	on	ADP
cana-830	52	9	applied	apply	VERB
cana-830	52	10	nonlinear	nonlinear	ADJ
cana-830	52	11	analysis	analysis	NOUN
cana-830	52	12	issn	issn	NOUN
cana-830	52	13	:	:	PUNCT
cana-830	52	14	1074	1074	NUM
cana-830	52	15	-	-	PUNCT
cana-830	52	16	133x	133x	NUM
cana-830	52	17	vol	vol	NOUN
cana-830	52	18	31	31	NUM
cana-830	52	19	no	no	NOUN
cana-830	52	20	.	.	PUNCT
cana-830	53	1	4s	4s	NUM
cana-830	53	2	(	(	PUNCT
cana-830	53	3	2024	2024	NUM
cana-830	53	4	)	)	PUNCT
cana-830	53	5	118	118	NUM
cana-830	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	53	7	…	…	PUNCT
cana-830	53	8	…	…	PUNCT
cana-830	53	9	eqn	eqn	NOUN
cana-830	53	10	3.1	3.1	NUM
cana-830	53	11	applications	application	NOUN
cana-830	53	12	l2	l2	NOUN
cana-830	53	13	=	=	SYM
cana-830	53	14	distance	distance	NOUN
cana-830	53	15	by	by	ADP
cana-830	53	16	two	two	NUM
cana-830	53	17	different	different	ADJ
cana-830	53	18	functions	function	NOUN
cana-830	53	19	such	such	ADJ
cana-830	53	20	as	as	ADP
cana-830	53	21	combinatorial	combinatorial	ADJ
cana-830	53	22	laplacian	laplacian	ADJ
cana-830	53	23	eign	eign	NOUN
cana-830	53	24	spectrum	spectrum	NOUN
cana-830	53	25	eqn	eqn	NOUN
cana-830	53	26	(	(	PUNCT
cana-830	53	27	3.1	3.1	NUM
cana-830	53	28	)	)	PUNCT
cana-830	53	29	f	f	NOUN
cana-830	53	30	(	(	PUNCT
cana-830	53	31	λ	λ	NOUN
cana-830	53	32	)	)	PUNCT
cana-830	53	33	=	=	SYM
cana-830	53	34	e−0.1λ	e−0.1λ	VERB
cana-830	53	35	top	top	ADJ
cana-830	53	36	row	row	NOUN
cana-830	53	37	microbiome	microbiome	ADJ
cana-830	53	38	f	f	X
cana-830	53	39	(	(	PUNCT
cana-830	53	40	λ	λ	NOUN
cana-830	53	41	)	)	PUNCT
cana-830	53	42	=	=	SYM
cana-830	53	43	e−1.2λ	e−1.2λ	PROPN
cana-830	53	44	bottom	bottom	NOUN
cana-830	53	45	row	row	NOUN
cana-830	53	46	fmri	fmri	NOUN
cana-830	53	47	p	p	X
cana-830	53	48	=	=	PUNCT
cana-830	53	49	0.025	0.025	PROPN
cana-830	53	50	confirmed	confirm	VERB
cana-830	53	51	the	the	DET
cana-830	53	52	mds	mds	PROPN
cana-830	53	53	projections	projection	NOUN
cana-830	53	54	l2	l2	NOUN
cana-830	53	55	=	=	SYM
cana-830	53	56	eign	eign	NOUN
cana-830	53	57	spectra	spectra	NOUN
cana-830	53	58	using	use	VERB
cana-830	53	59	two	two	NUM
cana-830	53	60	function	function	NOUN
cana-830	53	61	of	of	ADP
cana-830	53	62	spectral	spectral	ADJ
cana-830	53	63	distances	distance	NOUN
cana-830	53	64	as	as	ADP
cana-830	53	65	in	in	ADP
cana-830	53	66	eq	eq	ADP
cana-830	53	67	no	no	DET
cana-830	53	68	3.1	3.1	NUM
cana-830	53	69	top	top	NOUN
cana-830	53	70	row	row	NOUN
cana-830	53	71	=	=	SYM
cana-830	53	72	microbiome	microbiome	ADJ
cana-830	53	73	bottom	bottom	NOUN
cana-830	53	74	row	row	NOUN
cana-830	53	75	=	=	SYM
cana-830	54	1	fmri	fmri	NOUN
cana-830	54	2	e	e	X
cana-830	54	3	=	=	PUNCT
cana-830	54	4	brain	brain	NOUN
cana-830	54	5	connectomes	connectome	VERB
cana-830	54	6	c	c	NOUN
cana-830	55	1	=	=	SYM
cana-830	55	2	first	first	ADJ
cana-830	55	3	two	two	NUM
cana-830	55	4	principal	principal	ADJ
cana-830	55	5	axes	axis	NOUN
cana-830	55	6	with	with	ADP
cana-830	55	7	graphs	graph	NOUN
cana-830	55	8	d	d	NOUN
cana-830	55	9	=	=	SYM
cana-830	55	10	low	low	ADJ
cana-830	55	11	-	-	PUNCT
cana-830	55	12	pass	pass	NOUN
cana-830	55	13	filter	filter	NOUN
cana-830	55	14	f(λ	f(λ	NOUN
cana-830	55	15	)	)	PUNCT
cana-830	55	16	=	=	PUNCT
cana-830	55	17	e−1.2λ	e−1.2λ	X
cana-830	55	18	b	b	X
cana-830	55	19	=	=	SYM
cana-830	55	20	mds	mds	PROPN
cana-830	55	21	projection	projection	NOUN
cana-830	55	22	of	of	ADP
cana-830	55	23	the	the	DET
cana-830	55	24	bacterial	bacterial	ADJ
cana-830	55	25	a	a	DET
cana-830	55	26	=	=	NOUN
cana-830	55	27	distances	distance	NOUN
cana-830	55	28	between	between	ADP
cana-830	55	29	bacterial	bacterial	ADJ
cana-830	55	30	graphs	graph	NOUN
cana-830	55	31	spanning	span	VERB
cana-830	55	32	tree	tree	NOUN
cana-830	55	33	dissimilarities	dissimilarity	NOUN
cana-830	55	34	g	g	NOUN
cana-830	55	35	and	and	CCONJ
cana-830	55	36	g̃	g̃	PROPN
cana-830	55	37	graphs	graph	VERB
cana-830	55	38	l	l	NOUN
cana-830	56	1	=	=	PUNCT
cana-830	57	1	d	d	X
cana-830	57	2	a	a	DET
cana-830	57	3	dst(g	dst(g	PROPN
cana-830	57	4	,	,	PUNCT
cana-830	57	5	g̃	g̃	PROPN
cana-830	57	6	)	)	PUNCT
cana-830	57	7	=	=	PUNCT
cana-830	58	1	|	|	CCONJ
cana-830	58	2	log(tg	log(tg	NOUN
cana-830	58	3	)	)	PUNCT
cana-830	58	4	−	−	PROPN
cana-830	58	5	log(tg̃	log(tg̃	PROPN
cana-830	58	6	)	)	PUNCT
cana-830	58	7	|	|	ADV
cana-830	58	8	communications	communication	NOUN
cana-830	58	9	on	on	ADP
cana-830	58	10	applied	apply	VERB
cana-830	58	11	nonlinear	nonlinear	ADJ
cana-830	58	12	analysis	analysis	NOUN
cana-830	58	13	issn	issn	NOUN
cana-830	58	14	:	:	PUNCT
cana-830	58	15	1074	1074	NUM
cana-830	58	16	-	-	PUNCT
cana-830	58	17	133x	133x	NUM
cana-830	58	18	vol	vol	NOUN
cana-830	58	19	31	31	NUM
cana-830	58	20	no	no	NOUN
cana-830	58	21	.	.	PUNCT
cana-830	59	1	4s	4s	NUM
cana-830	59	2	(	(	PUNCT
cana-830	59	3	2024	2024	NUM
cana-830	59	4	)	)	PUNCT
cana-830	59	5	119	119	NUM
cana-830	59	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	59	7	taking	take	VERB
cana-830	59	8	network	network	NOUN
cana-830	59	9	changes	change	VERB
cana-830	59	10	a	a	DET
cana-830	59	11	=	=	SYM
cana-830	59	12	bacterial	bacterial	ADJ
cana-830	59	13	graphs	graph	NOUN
cana-830	59	14	based	base	VERB
cana-830	59	15	on	on	ADP
cana-830	59	16	kendall	kendall	NOUN
cana-830	59	17	-	-	PUNCT
cana-830	59	18	correlation	correlation	NOUN
cana-830	59	19	b	b	NOUN
cana-830	59	20	=	=	SYM
cana-830	59	21	bacterial	bacterial	ADJ
cana-830	59	22	graphs	graph	NOUN
cana-830	59	23	based	base	VERB
cana-830	59	24	on	on	ADP
cana-830	59	25	mds	mds	PROPN
cana-830	59	26	projection	projection	NOUN
cana-830	59	27	on	on	ADP
cana-830	59	28	the	the	DET
cana-830	59	29	first	first	ADJ
cana-830	59	30	two	two	NUM
cana-830	59	31	principal	principal	ADJ
cana-830	59	32	axes	axis	NOUN
cana-830	59	33	colour	colour	NOUN
cana-830	59	34	–	–	PUNCT
cana-830	59	35	phaser	phaser	NOUN
cana-830	59	36	shape	shape	NOUN
cana-830	59	37	–	–	PUNCT
cana-830	59	38	different	different	ADJ
cana-830	59	39	subject	subject	NOUN
cana-830	59	40	c	c	NOUN
cana-830	59	41	=	=	PUNCT
cana-830	59	42	metagraph	metagraph	NOUN
cana-830	59	43	d	d	NOUN
cana-830	59	44	=	=	SYM
cana-830	59	45	fmri	fmri	ADJ
cana-830	59	46	data	datum	NOUN
cana-830	59	47	for	for	ADP
cana-830	59	48	clustermap	clustermap	ADJ
cana-830	59	49	e	e	NOUN
cana-830	59	50	=	=	NOUN
cana-830	59	51	brain	brain	NOUN
cana-830	59	52	connectomes	connectome	NOUN
cana-830	59	53	mds	mds	NOUN
cana-830	59	54	projections	projection	NOUN
cana-830	59	55	on	on	ADP
cana-830	59	56	the	the	DET
cana-830	59	57	1st	1st	ADJ
cana-830	59	58	two	two	NUM
cana-830	59	59	principal	principal	ADJ
cana-830	59	60	components(e	components(e	NOUN
cana-830	59	61	)	)	PUNCT
cana-830	59	62	t̃g	t̃g	NOUN
cana-830	59	63	=	=	VERB
cana-830	59	64	nspanning	nspanne	VERB
cana-830	59	65	tree	tree	NOUN
cana-830	59	66	of	of	ADP
cana-830	59	67	g̃	g̃	PROPN
cana-830	59	68	…	…	PUNCT
cana-830	59	69	…	…	PUNCT
cana-830	59	70	..	..	PUNCT
cana-830	59	71	eqn	eqn	NOUN
cana-830	59	72	(	(	PUNCT
cana-830	59	73	3.3	3.3	NUM
cana-830	59	74	)	)	PUNCT
cana-830	59	75	combining	combine	VERB
cana-830	59	76	(	(	PUNCT
cana-830	59	77	3.3	3.3	NUM
cana-830	59	78	)	)	PUNCT
cana-830	59	79	and	and	CCONJ
cana-830	59	80	(	(	PUNCT
cana-830	59	81	3.2	3.2	NUM
cana-830	59	82	)	)	PUNCT
cana-830	59	83	yields	yield	VERB
cana-830	59	84	general	general	ADJ
cana-830	59	85	framework	framework	NOUN
cana-830	59	86	for	for	ADP
cana-830	59	87	gaussian	gaussian	ADJ
cana-830	59	88	kernel	kernel	NOUN
cana-830	59	89	,	,	PUNCT
cana-830	59	90	distribution	distribution	NOUN
cana-830	59	91	pseudo	pseudo	NOUN
cana-830	59	92	graph	graph	NOUN
cana-830	59	93	,	,	PUNCT
cana-830	59	94	definition	definition	NOUN
cana-830	59	95	of	of	ADP
cana-830	59	96	the	the	DET
cana-830	59	97	i	i	PROPN
cana-830	59	98	m	m	PROPN
cana-830	59	99	distance	distance	NOUN
cana-830	59	100	communications	communication	NOUN
cana-830	59	101	on	on	ADP
cana-830	59	102	applied	apply	VERB
cana-830	59	103	nonlinear	nonlinear	ADJ
cana-830	59	104	analysis	analysis	NOUN
cana-830	59	105	issn	issn	NOUN
cana-830	59	106	:	:	PUNCT
cana-830	59	107	1074	1074	NUM
cana-830	59	108	-	-	PUNCT
cana-830	59	109	133x	133x	NUM
cana-830	59	110	vol	vol	NOUN
cana-830	59	111	31	31	NUM
cana-830	59	112	no	no	NOUN
cana-830	59	113	.	.	PUNCT
cana-830	60	1	4s	4s	NUM
cana-830	60	2	(	(	PUNCT
cana-830	60	3	2024	2024	NUM
cana-830	60	4	)	)	PUNCT
cana-830	60	5	120	120	NUM
cana-830	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	60	7	the	the	DET
cana-830	60	8	eign	eign	ADJ
cana-830	60	9	values	value	NOUN
cana-830	60	10	of	of	ADP
cana-830	60	11	the	the	DET
cana-830	60	12	squares	square	NOUN
cana-830	60	13	of	of	ADP
cana-830	60	14	the	the	DET
cana-830	60	15	vibrational	vibrational	ADJ
cana-830	60	16	frequencies	frequency	NOUN
cana-830	60	17	which	which	PRON
cana-830	60	18	is	be	AUX
cana-830	60	19	interpreted	interpret	VERB
cana-830	60	20	by	by	ADP
cana-830	60	21	laplacian	laplacian	ADJ
cana-830	60	22	matrix	matrix	NOUN
cana-830	60	23	of	of	ADP
cana-830	60	24	the	the	DET
cana-830	60	25	network	network	NOUN
cana-830	60	26	as	as	ADP
cana-830	60	27	ωi	ωi	PROPN
cana-830	60	28	.	.	PROPN
cana-830	60	29	λi	λi	X
cana-830	60	30	=	=	SYM
cana-830	60	31	ω2	ω2	NOUN
cana-830	60	32	λ0	λ0	NOUN
cana-830	60	33	=	=	SYM
cana-830	60	34	ω0	ω0	NOUN
cana-830	60	35	=	=	SYM
cana-830	60	36	0	0	NUM
cana-830	60	37	γ	γ	X
cana-830	60	38	=	=	SYM
cana-830	60	39	common	common	ADJ
cana-830	60	40	parameter	parameter	NOUN
cana-830	60	41	k	k	PROPN
cana-830	61	1	=	=	PUNCT
cana-830	61	2	normalization	normalization	NOUN
cana-830	61	3	constant	constant	ADJ
cana-830	61	4	defined	define	VERB
cana-830	61	5	such	such	ADJ
cana-830	61	6	that	that	SCONJ
cana-830	61	7	`	`	PUNCT
cana-830	61	8	the	the	DET
cana-830	61	9	spectral	spectral	ADJ
cana-830	61	10	distance	distance	NOUN
cana-830	61	11	between	between	ADP
cana-830	61	12	2	2	NUM
cana-830	61	13	graphs	graph	NOUN
cana-830	61	14	a	a	DET
cana-830	61	15	&	&	CCONJ
cana-830	61	16	b	b	PROPN
cana-830	61	17	is	be	AUX
cana-830	61	18	defined	define	VERB
cana-830	61	19	by	by	ADP
cana-830	61	20	jurman	jurman	NOUN
cana-830	61	21	,	,	PUNCT
cana-830	61	22	en	en	ADV
cana-830	61	23	=	=	SYM
cana-830	61	24	empty	empty	ADJ
cana-830	61	25	graph	graph	NOUN
cana-830	61	26	on	on	ADP
cana-830	61	27	n	n	PRON
cana-830	61	28	nodes	node	NOUN
cana-830	61	29	fn	fn	NOUN
cana-830	61	30	=	=	NOUN
cana-830	61	31	complete	complete	ADJ
cana-830	61	32	graph	graph	NOUN
cana-830	61	33	on	on	ADP
cana-830	61	34	n	n	CCONJ
cana-830	61	35	nodes	node	NOUN
cana-830	61	36	polynomial	polynomial	ADJ
cana-830	61	37	approach	approach	NOUN
cana-830	61	38	p(a	p(a	NOUN
cana-830	61	39	)	)	PUNCT
cana-830	61	40	=	=	PUNCT
cana-830	62	1	qw	qw	CCONJ
cana-830	62	2	qt	qt	NOUN
cana-830	62	3	where	where	SCONJ
cana-830	62	4	,	,	PUNCT
cana-830	62	5	the	the	DET
cana-830	62	6	distance	distance	NOUN
cana-830	62	7	between	between	ADP
cana-830	62	8	2	2	NUM
cana-830	62	9	graphs	graph	NOUN
cana-830	62	10	g1	g1	PROPN
cana-830	62	11	&	&	CCONJ
cana-830	62	12	g2	g2	PROPN
cana-830	62	13	where	where	SCONJ
cana-830	62	14	,	,	PUNCT
cana-830	62	15	dissimilarity	dissimilarity	NOUN
cana-830	62	16	of	of	ADP
cana-830	62	17	the	the	DET
cana-830	62	18	microbiome	microbiome	ADJ
cana-830	62	19	bacterial	bacterial	ADJ
cana-830	62	20	graphs	graph	NOUN
cana-830	62	21	which	which	PRON
cana-830	62	22	is	be	AUX
cana-830	62	23	polynomial	polynomial	ADJ
cana-830	62	24	3	3	NUM
cana-830	62	25	=	=	SYM
cana-830	62	26	k	k	X
cana-830	62	27	0.9	0.9	NUM
cana-830	63	1	=	=	SYM
cana-830	64	1	α	α	PRON
cana-830	65	1	a	a	X
cana-830	65	2	=	=	X
cana-830	65	3	heatmap	heatmap	NOUN
cana-830	65	4	of	of	ADP
cana-830	65	5	the	the	DET
cana-830	65	6	corresponding	correspond	VERB
cana-830	65	7	similarity	similarity	NOUN
cana-830	65	8	communications	communication	NOUN
cana-830	65	9	on	on	ADP
cana-830	65	10	applied	apply	VERB
cana-830	65	11	nonlinear	nonlinear	ADJ
cana-830	65	12	analysis	analysis	NOUN
cana-830	65	13	issn	issn	NOUN
cana-830	65	14	:	:	PUNCT
cana-830	65	15	1074	1074	NUM
cana-830	65	16	-	-	PUNCT
cana-830	65	17	133x	133x	NUM
cana-830	65	18	vol	vol	NOUN
cana-830	65	19	31	31	NUM
cana-830	65	20	no	no	NOUN
cana-830	65	21	.	.	PUNCT
cana-830	66	1	4s	4s	NUM
cana-830	66	2	(	(	PUNCT
cana-830	66	3	2024	2024	NUM
cana-830	66	4	)	)	PUNCT
cana-830	66	5	121	121	NUM
cana-830	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	66	7	b	b	X
cana-830	66	8	=	=	SYM
cana-830	66	9	mds	mds	PROPN
cana-830	66	10	projection	projection	NOUN
cana-830	66	11	c	c	PROPN
cana-830	67	1	=	=	PUNCT
cana-830	67	2	consecutive	consecutive	ADJ
cana-830	67	3	distances	distance	NOUN
cana-830	67	4	between	between	ADP
cana-830	67	5	graphs	graph	NOUN
cana-830	67	6	the	the	DET
cana-830	67	7	common	common	ADJ
cana-830	67	8	network	network	NOUN
cana-830	67	9	generally	generally	ADV
cana-830	67	10	compare	compare	VERB
cana-830	67	11	the	the	DET
cana-830	67	12	dissimilarities	dissimilarity	NOUN
cana-830	67	13	between	between	ADP
cana-830	67	14	graphs	graph	NOUN
cana-830	67	15	next	next	ADV
cana-830	67	16	to	to	ADP
cana-830	67	17	next	next	ADJ
cana-830	67	18	points	point	NOUN
cana-830	67	19	(	(	PUNCT
cana-830	67	20	gt	gt	INTJ
cana-830	67	21	and	and	CCONJ
cana-830	67	22	gt+1	gt+1	NUM
cana-830	67	23	)	)	PUNCT
cana-830	68	1	gt	gt	INTJ
cana-830	68	2	,	,	PUNCT
cana-830	68	3	gt+1	gt+1	X
cana-830	69	1	=	=	PUNCT
cana-830	69	2	consecutive	consecutive	ADJ
cana-830	69	3	points	point	NOUN
cana-830	69	4	sij	sij	PROPN
cana-830	69	5	t	t	PROPN
cana-830	69	6	=	=	SYM
cana-830	69	7	affinity	affinity	NOUN
cana-830	69	8	of	of	ADP
cana-830	69	9	interaction	interaction	NOUN
cana-830	69	10	between	between	ADP
cana-830	69	11	i	i	PRON
cana-830	69	12	with	with	ADP
cana-830	69	13	j	j	PROPN
cana-830	69	14	in	in	ADP
cana-830	69	15	graph	graph	NOUN
cana-830	69	16	gt	gt	PROPN
cana-830	69	17	c.	c.	PROPN
cana-830	69	18	donnat	donnat	PROPN
cana-830	69	19	and	and	CCONJ
cana-830	69	20	s.	s.	PROPN
cana-830	69	21	holmes	holmes	PROPN
cana-830	69	22	d(gt	d(gt	PROPN
cana-830	69	23	,	,	PUNCT
cana-830	69	24	gt+1	gt+1	X
cana-830	69	25	)	)	PUNCT
cana-830	69	26	application	application	NOUN
cana-830	69	27	of	of	ADP
cana-830	69	28	fmri	fmri	PROPN
cana-830	69	29	study	study	NOUN
cana-830	69	30	with	with	ADP
cana-830	69	31	microbiome	microbiome	ADJ
cana-830	69	32	results	result	NOUN
cana-830	69	33	of	of	ADP
cana-830	69	34	heat	heat	NOUN
cana-830	69	35	based	base	VERB
cana-830	69	36	distance	distance	NOUN
cana-830	69	37	with	with	ADP
cana-830	69	38	τ	τ	PROPN
cana-830	69	39	=	=	SYM
cana-830	69	40	1.2	1.2	NUM
cana-830	69	41	p	p	NOUN
cana-830	69	42	value	value	NOUN
cana-830	69	43	is	be	AUX
cana-830	69	44	below	below	ADP
cana-830	69	45	0.05	0.05	NUM
cana-830	69	46	threshold	threshold	NOUN
cana-830	69	47	,	,	PUNCT
cana-830	69	48	5	5	NUM
cana-830	69	49	-	-	PUNCT
cana-830	69	50	nn	nn	X
cana-830	69	51	metagraph	metagraph	PROPN
cana-830	69	52	is	be	AUX
cana-830	69	53	obtained	obtain	VERB
cana-830	69	54	fig	fig	NOUN
cana-830	69	55	9(b	9(b	NUM
cana-830	69	56	)	)	PUNCT
cana-830	69	57	,	,	PUNCT
cana-830	69	58	(	(	PUNCT
cana-830	69	59	c	c	NOUN
cana-830	69	60	)	)	PUNCT
cana-830	69	61	,	,	PUNCT
cana-830	69	62	(	(	PUNCT
cana-830	69	63	d	d	NOUN
cana-830	69	64	)	)	PUNCT
cana-830	69	65	,	,	PUNCT
cana-830	69	66	(	(	PUNCT
cana-830	69	67	e	e	NOUN
cana-830	69	68	)	)	PUNCT
cana-830	69	69	are	be	AUX
cana-830	69	70	the	the	DET
cana-830	69	71	some	some	DET
cana-830	69	72	one	one	NUM
cana-830	69	73	of	of	ADP
cana-830	69	74	the	the	DET
cana-830	69	75	above	above	ADP
cana-830	69	76	the	the	DET
cana-830	69	77	annova	annova	NOUN
cana-830	69	78	gives	give	VERB
cana-830	69	79	the	the	DET
cana-830	69	80	result	result	NOUN
cana-830	69	81	a	a	DET
cana-830	69	82	p	p	NOUN
cana-830	69	83	value	value	NOUN
cana-830	69	84	below10−4	below10−4	PRON
cana-830	69	85	communications	communication	NOUN
cana-830	69	86	on	on	ADP
cana-830	69	87	applied	apply	VERB
cana-830	69	88	nonlinear	nonlinear	ADJ
cana-830	69	89	analysis	analysis	NOUN
cana-830	69	90	issn	issn	NOUN
cana-830	69	91	:	:	PUNCT
cana-830	69	92	1074	1074	NUM
cana-830	69	93	-	-	PUNCT
cana-830	69	94	133x	133x	NUM
cana-830	69	95	vol	vol	NOUN
cana-830	69	96	31	31	NUM
cana-830	69	97	no	no	NOUN
cana-830	69	98	.	.	PUNCT
cana-830	70	1	4s	4s	NUM
cana-830	70	2	(	(	PUNCT
cana-830	70	3	2024	2024	NUM
cana-830	70	4	)	)	PUNCT
cana-830	70	5	122	122	NUM
cana-830	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	70	7	synthetic	synthetic	ADJ
cana-830	70	8	experiments	experiment	VERB
cana-830	70	9	the	the	DET
cana-830	70	10	graph	graph	NOUN
cana-830	70	11	topology	topology	NOUN
cana-830	70	12	the	the	DET
cana-830	70	13	erdoss	erdoss	ADJ
cana-830	70	14	–	–	PUNCT
cana-830	70	15	rényi	rényi	NOUN
cana-830	70	16	model	model	NOUN
cana-830	70	17	=	=	SYM
cana-830	70	18	81nodes	81nodes	NUM
cana-830	70	19	probability	probability	NOUN
cana-830	70	20	p	p	NOUN
cana-830	70	21	=	=	NOUN
cana-830	70	22	0.1	0.1	NUM
cana-830	70	23	preferential	preferential	ADJ
cana-830	70	24	attachment	attachment	NOUN
cana-830	70	25	(	(	PUNCT
cana-830	70	26	pa	pa	NOUN
cana-830	70	27	)	)	PUNCT
cana-830	70	28	=	=	SYM
cana-830	70	29	n	n	NOUN
cana-830	70	30	=	=	SYM
cana-830	70	31	81	81	NUM
cana-830	70	32	nodes	node	NOUN
cana-830	70	33	α	α	NOUN
cana-830	70	34	=	=	SYM
cana-830	70	35	1	1	NUM
cana-830	70	36	,	,	PUNCT
cana-830	70	37	a	a	DET
cana-830	70	38	stochastic	stochastic	ADJ
cana-830	70	39	block	block	NOUN
cana-830	70	40	model	model	NOUN
cana-830	70	41	with	with	ADP
cana-830	70	42	3	3	NUM
cana-830	70	43	sampled	sample	VERB
cana-830	70	44	equally	equally	ADV
cana-830	70	45	communities	community	NOUN
cana-830	70	46	on	on	ADP
cana-830	70	47	the	the	DET
cana-830	70	48	network	network	NOUN
cana-830	70	49	analysis	analysis	NOUN
cana-830	70	50	there	there	PRON
cana-830	70	51	topology	topology	NOUN
cana-830	70	52	is	be	AUX
cana-830	70	53	accessed	access	VERB
cana-830	70	54	by	by	ADP
cana-830	70	55	sets	set	NOUN
cana-830	70	56	of	of	ADP
cana-830	70	57	network	network	NOUN
cana-830	70	58	families	family	NOUN
cana-830	70	59	in	in	ADP
cana-830	70	60	different	different	ADJ
cana-830	70	61	global	global	ADJ
cana-830	70	62	and	and	CCONJ
cana-830	70	63	local	local	ADJ
cana-830	70	64	to	to	ADP
cana-830	70	65	stochastic	stochastic	ADJ
cana-830	70	66	block	block	NOUN
cana-830	70	67	model	model	NOUN
cana-830	70	68	topology	topology	NOUN
cana-830	70	69	results	result	NOUN
cana-830	70	70	row	row	VERB
cana-830	70	71	top	top	ADJ
cana-830	70	72	=	=	SYM
cana-830	70	73	smooth	smooth	ADJ
cana-830	70	74	dynamics	dynamic	NOUN
cana-830	70	75	is	be	AUX
cana-830	70	76	compared	compare	VERB
cana-830	70	77	with	with	ADP
cana-830	70	78	0.05	0.05	NUM
cana-830	70	79	%	%	NOUN
cana-830	70	80	edges	edge	NOUN
cana-830	70	81	rewired	rewire	VERB
cana-830	70	82	at	at	ADP
cana-830	70	83	every	every	DET
cana-830	70	84	time	time	NOUN
cana-830	70	85	step	step	NOUN
cana-830	70	86	.	.	PUNCT
cana-830	71	1	row	row	NOUN
cana-830	71	2	bottom	bottom	NOUN
cana-830	71	3	=	=	PUNCT
cana-830	71	4	detection	detection	NOUN
cana-830	71	5	experiment	experiment	NOUN
cana-830	71	6	of	of	ADP
cana-830	71	7	change	change	NOUN
cana-830	71	8	point	point	NOUN
cana-830	71	9	communications	communication	NOUN
cana-830	71	10	on	on	ADP
cana-830	71	11	applied	apply	VERB
cana-830	71	12	nonlinear	nonlinear	ADJ
cana-830	71	13	analysis	analysis	NOUN
cana-830	71	14	issn	issn	NOUN
cana-830	71	15	:	:	PUNCT
cana-830	71	16	1074	1074	NUM
cana-830	71	17	-	-	PUNCT
cana-830	71	18	133x	133x	NUM
cana-830	71	19	vol	vol	NOUN
cana-830	71	20	31	31	NUM
cana-830	71	21	no	no	NOUN
cana-830	71	22	.	.	PUNCT
cana-830	72	1	4s	4s	NUM
cana-830	72	2	(	(	PUNCT
cana-830	72	3	2024	2024	NUM
cana-830	72	4	)	)	PUNCT
cana-830	72	5	123	123	NUM
cana-830	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	72	7	conclusion	conclusion	NOUN
cana-830	72	8	we	we	PRON
cana-830	72	9	have	have	AUX
cana-830	72	10	come	come	VERB
cana-830	72	11	acrossed	acrosse	VERB
cana-830	72	12	so	so	ADV
cana-830	72	13	many	many	ADJ
cana-830	72	14	graphs	graph	NOUN
cana-830	72	15	.	.	PUNCT
cana-830	73	1	for	for	ADP
cana-830	73	2	different	different	ADJ
cana-830	73	3	node	node	ADJ
cana-830	73	4	labels	label	NOUN
cana-830	73	5	nodes	node	NOUN
cana-830	73	6	never	never	ADV
cana-830	73	7	sets	set	VERB
cana-830	73	8	married	marry	VERB
cana-830	73	9	.	.	PUNCT
cana-830	74	1	easily	easily	ADV
cana-830	74	2	graph	graph	VERB
cana-830	74	3	distance	distance	NOUN
cana-830	74	4	and	and	CCONJ
cana-830	74	5	graph	graph	NOUN
cana-830	74	6	identities	identity	NOUN
cana-830	74	7	are	be	AUX
cana-830	74	8	very	very	ADV
cana-830	74	9	important	important	ADJ
cana-830	74	10	.	.	PUNCT
cana-830	75	1	we	we	PRON
cana-830	75	2	have	have	AUX
cana-830	75	3	exampled	example	VERB
cana-830	75	4	the	the	DET
cana-830	75	5	statistics	statistic	NOUN
cana-830	75	6	by	by	ADP
cana-830	75	7	the	the	DET
cana-830	75	8	use	use	NOUN
cana-830	75	9	of	of	ADP
cana-830	75	10	metrics	metric	NOUN
cana-830	75	11	on	on	ADP
cana-830	75	12	graph	graph	NOUN
cana-830	75	13	objects	object	NOUN
cana-830	75	14	.	.	PUNCT
cana-830	76	1	in	in	ADP
cana-830	76	2	many	many	ADJ
cana-830	76	3	sources	source	NOUN
cana-830	76	4	distances	distance	NOUN
cana-830	76	5	are	be	AUX
cana-830	76	6	very	very	ADV
cana-830	76	7	essential	essential	ADJ
cana-830	76	8	to	to	PART
cana-830	76	9	assess	assess	VERB
cana-830	76	10	the	the	DET
cana-830	76	11	variability	variability	NOUN
cana-830	76	12	in	in	ADP
cana-830	76	13	a	a	DET
cana-830	76	14	dataset	dataset	ADJ
cana-830	76	15	latent	latent	NOUN
cana-830	76	16	clusters	cluster	NOUN
cana-830	76	17	(	(	PUNCT
cana-830	76	18	or	or	CCONJ
cana-830	76	19	)	)	PUNCT
cana-830	76	20	gradients	gradient	NOUN
cana-830	76	21	are	be	AUX
cana-830	76	22	detected	detect	VERB
cana-830	76	23	by	by	ADP
cana-830	76	24	multidimensional	multidimensional	ADJ
cana-830	76	25	scaling	scaling	NOUN
cana-830	76	26	embeddings	embedding	NOUN
cana-830	76	27	of	of	ADP
cana-830	76	28	graphs	graph	NOUN
cana-830	76	29	in	in	ADP
cana-830	76	30	euclidean	euclidean	ADJ
cana-830	76	31	space	space	NOUN
cana-830	76	32	.	.	PUNCT
cana-830	77	1	for	for	ADP
cana-830	77	2	instance	instance	NOUN
cana-830	77	3	,	,	PUNCT
cana-830	77	4	we	we	PRON
cana-830	77	5	have	have	AUX
cana-830	77	6	not	not	PART
cana-830	77	7	used	use	VERB
cana-830	77	8	subgraphs	subgraph	NOUN
cana-830	77	9	and	and	CCONJ
cana-830	77	10	motif	motif	NOUN
cana-830	77	11	counts	count	VERB
cana-830	77	12	the	the	DET
cana-830	77	13	same	same	ADJ
cana-830	77	14	think	think	NOUN
cana-830	77	15	which	which	PRON
cana-830	77	16	was	be	AUX
cana-830	77	17	quantifying	quantify	VERB
cana-830	77	18	in	in	ADP
cana-830	77	19	the	the	DET
cana-830	77	20	past	past	NOUN
cana-830	77	21	already	already	ADV
cana-830	77	22	.	.	PUNCT
cana-830	78	1	some	some	DET
cana-830	78	2	times	time	NOUN
cana-830	78	3	we	we	PRON
cana-830	78	4	have	have	AUX
cana-830	78	5	used	use	VERB
cana-830	78	6	graph	graph	NOUN
cana-830	78	7	kernels	kernel	NOUN
cana-830	78	8	.	.	PUNCT
cana-830	79	1	references	reference	NOUN
cana-830	79	2	[	[	X
cana-830	79	3	1	1	NUM
cana-830	79	4	]	]	X
cana-830	79	5	pellegrini	pellegrini	PROPN
cana-830	79	6	matteo	matteo	PROPN
cana-830	79	7	,	,	PUNCT
cana-830	79	8	haynor	haynor	PROPN
cana-830	79	9	david	david	PROPN
cana-830	79	10	,	,	PUNCT
cana-830	79	11	johnson	johnson	PROPN
cana-830	79	12	jm	jm	PROPN
cana-830	79	13	:	:	PUNCT
cana-830	79	14	protein	protein	NOUN
cana-830	79	15	interaction	interaction	NOUN
cana-830	79	16	networks	network	NOUN
cana-830	79	17	.	.	PUNCT
cana-830	80	1	expert	expert	NOUN
cana-830	80	2	rev	rev	PROPN
cana-830	80	3	proteomics	proteomic	NOUN
cana-830	80	4	.	.	PUNCT
cana-830	80	5	2004	2004	NUM
cana-830	80	6	,	,	PUNCT
cana-830	80	7	1	1	NUM
cana-830	80	8	(	(	PUNCT
cana-830	80	9	2	2	NUM
cana-830	80	10	):	):	PUNCT
cana-830	80	11	[	[	X
cana-830	80	12	2	2	NUM
cana-830	80	13	]	]	SYM
cana-830	80	14	vikis	vikis	NOUN
cana-830	80	15	hg	hg	PROPN
cana-830	80	16	,	,	PUNCT
cana-830	80	17	guan	guan	PROPN
cana-830	80	18	kl	kl	PROPN
cana-830	80	19	:	:	PUNCT
cana-830	80	20	glutathione	glutathione	NOUN
cana-830	80	21	-	-	PUNCT
cana-830	80	22	s	s	NOUN
cana-830	80	23	-	-	PUNCT
cana-830	80	24	transferase	transferase	NOUN
cana-830	80	25	-	-	PUNCT
cana-830	80	26	fusion	fusion	NOUN
cana-830	80	27	based	base	VERB
cana-830	80	28	assays	assay	NOUN
cana-830	80	29	for	for	ADP
cana-830	80	30	studying	study	VERB
cana-830	80	31	protein	protein	NOUN
cana-830	80	32	-	-	PUNCT
cana-830	80	33	protein	protein	NOUN
cana-830	80	34	interactions	interaction	NOUN
cana-830	80	35	.	.	PUNCT
cana-830	81	1	methods	method	NOUN
cana-830	81	2	mol	mol	ADP
cana-830	81	3	biol	biol	PROPN
cana-830	81	4	.	.	PUNCT
cana-830	82	1	2004	2004	NUM
cana-830	82	2	,	,	PUNCT
cana-830	82	3	261	261	NUM
cana-830	82	4	:	:	SYM
cana-830	82	5	175	175	NUM
cana-830	82	6	-	-	SYM
cana-830	82	7	186	186	NUM
cana-830	82	8	.	.	PUNCT
cana-830	83	1	[	[	X
cana-830	83	2	3	3	X
cana-830	83	3	]	]	X
cana-830	83	4	puig	puig	X
cana-830	83	5	o	o	NOUN
cana-830	83	6	,	,	PUNCT
cana-830	83	7	caspary	caspary	PROPN
cana-830	83	8	f	f	NOUN
cana-830	83	9	,	,	PUNCT
cana-830	83	10	rigaut	rigaut	NOUN
cana-830	83	11	g	g	NOUN
cana-830	83	12	,	,	PUNCT
cana-830	83	13	rutz	rutz	ADJ
cana-830	83	14	b	b	NOUN
cana-830	83	15	,	,	PUNCT
cana-830	83	16	bouveret	bouveret	ADJ
cana-830	83	17	e	e	NOUN
cana-830	83	18	,	,	PUNCT
cana-830	83	19	bragado	bragado	NOUN
cana-830	83	20	-	-	PUNCT
cana-830	83	21	nilsson	nilsson	PROPN
cana-830	83	22	e	e	PROPN
cana-830	83	23	,	,	PUNCT
cana-830	83	24	wilm	wilm	PROPN
cana-830	83	25	m	m	PROPN
cana-830	83	26	,	,	PUNCT
cana-830	83	27	seraphin	seraphin	PROPN
cana-830	83	28	b	b	PROPN
cana-830	83	29	:	:	PUNCT
cana-830	83	30	the	the	DET
cana-830	83	31	tandem	tandem	NOUN
cana-830	83	32	affinity	affinity	NOUN
cana-830	83	33	purification	purification	NOUN
cana-830	83	34	(	(	PUNCT
cana-830	83	35	tap	tap	NOUN
cana-830	83	36	)	)	PUNCT
cana-830	83	37	method	method	NOUN
cana-830	83	38	:	:	PUNCT
cana-830	83	39	a	a	DET
cana-830	83	40	general	general	ADJ
cana-830	83	41	procedure	procedure	NOUN
cana-830	83	42	of	of	ADP
cana-830	83	43	protein	protein	NOUN
cana-830	83	44	complex	complex	ADJ
cana-830	83	45	purification	purification	NOUN
cana-830	83	46	.	.	PUNCT
cana-830	84	1	methods	method	NOUN
cana-830	84	2	.	.	PUNCT
cana-830	85	1	2001	2001	NUM
cana-830	85	2	,	,	PUNCT
cana-830	85	3	24	24	NUM
cana-830	85	4	(	(	PUNCT
cana-830	85	5	3	3	NUM
cana-830	85	6	):	):	PUNCT
cana-830	85	7	218	218	NUM
cana-830	85	8	-	-	SYM
cana-830	85	9	229	229	NUM
cana-830	85	10	.	.	PUNCT
cana-830	86	1	[	[	X
cana-830	86	2	4	4	NUM
cana-830	86	3	]	]	PUNCT
cana-830	86	4	ito	ito	PROPN
cana-830	86	5	t	t	PROPN
cana-830	86	6	,	,	PUNCT
cana-830	86	7	chiba	chiba	PROPN
cana-830	86	8	t	t	PROPN
cana-830	86	9	,	,	PUNCT
cana-830	86	10	ozawa	ozawa	PROPN
cana-830	86	11	r	r	PROPN
cana-830	86	12	,	,	PUNCT
cana-830	86	13	yoshida	yoshida	PROPN
cana-830	86	14	m	m	PROPN
cana-830	86	15	,	,	PUNCT
cana-830	86	16	hattori	hattori	PROPN
cana-830	86	17	m	m	PROPN
cana-830	86	18	,	,	PUNCT
cana-830	86	19	sakaki	sakaki	PROPN
cana-830	86	20	y	y	PROPN
cana-830	86	21	:	:	PUNCT
cana-830	86	22	a	a	DET
cana-830	86	23	comprehensive	comprehensive	ADJ
cana-830	86	24	two	two	NUM
cana-830	86	25	-	-	PUNCT
cana-830	86	26	hybrid	hybrid	NOUN
cana-830	86	27	analysis	analysis	NOUN
cana-830	86	28	to	to	PART
cana-830	86	29	explore	explore	VERB
cana-830	86	30	the	the	DET
cana-830	86	31	yeast	yeast	NOUN
cana-830	86	32	protein	protein	NOUN
cana-830	86	33	interactome	interactome	NOUN
cana-830	86	34	.	.	PUNCT
cana-830	87	1	proc	proc	PROPN
cana-830	87	2	natl	natl	PROPN
cana-830	87	3	acad	acad	PROPN
cana-830	87	4	sci	sci	PROPN
cana-830	87	5	usa	usa	PROPN
cana-830	87	6	.	.	PROPN
cana-830	87	7	2001	2001	NUM
cana-830	87	8	,	,	PUNCT
cana-830	87	9	98	98	NUM
cana-830	87	10	(	(	PUNCT
cana-830	87	11	8)	8)	NUM
cana-830	87	12	:	:	SYM
cana-830	87	13	4569	4569	NUM
cana-830	87	14	-	-	SYM
cana-830	87	15	4574	4574	NUM
cana-830	87	16	.	.	PUNCT
cana-830	88	1	[	[	X
cana-830	88	2	5	5	X
cana-830	88	3	]	]	X
cana-830	88	4	gavin	gavin	PROPN
cana-830	88	5	ac	ac	PROPN
cana-830	88	6	,	,	PUNCT
cana-830	88	7	bosche	bosche	PROPN
cana-830	88	8	m	m	PROPN
cana-830	88	9	,	,	PUNCT
cana-830	88	10	krause	krause	PROPN
cana-830	88	11	r	r	PROPN
cana-830	88	12	,	,	PUNCT
cana-830	88	13	grandi	grandi	X
cana-830	88	14	p	p	X
cana-830	88	15	,	,	PUNCT
cana-830	88	16	marzioch	marzioch	PROPN
cana-830	88	17	m	m	PROPN
cana-830	88	18	,	,	PUNCT
cana-830	88	19	bauer	bauer	PROPN
cana-830	88	20	a	a	PROPN
cana-830	88	21	,	,	PUNCT
cana-830	88	22	schultz	schultz	PROPN
cana-830	88	23	j	j	PROPN
cana-830	88	24	,	,	PUNCT
cana-830	88	25	rick	rick	PROPN
cana-830	88	26	jm	jm	PROPN
cana-830	88	27	,	,	PUNCT
cana-830	88	28	michon	michon	PROPN
cana-830	88	29	am	am	PROPN
cana-830	88	30	,	,	PUNCT
cana-830	88	31	cruciat	cruciat	NOUN
cana-830	88	32	cm	cm	PROPN
cana-830	88	33	:	:	PUNCT
cana-830	88	34	functional	functional	ADJ
cana-830	88	35	organization	organization	NOUN
cana-830	88	36	of	of	ADP
cana-830	88	37	the	the	DET
cana-830	88	38	yeast	yeast	NOUN
cana-830	88	39	proteome	proteome	VERB
cana-830	88	40	by	by	ADP
cana-830	88	41	systematic	systematic	ADJ
cana-830	88	42	analysis	analysis	NOUN
cana-830	88	43	of	of	ADP
cana-830	88	44	protein	protein	NOUN
cana-830	88	45	complexes	complex	NOUN
cana-830	88	46	.	.	PUNCT
cana-830	89	1	nature	nature	NOUN
cana-830	89	2	.	.	PUNCT
cana-830	90	1	2002	2002	NUM
cana-830	90	2	,	,	PUNCT
cana-830	90	3	415	415	NUM
cana-830	90	4	(	(	PUNCT
cana-830	90	5	6868	6868	NUM
cana-830	90	6	):	):	PUNCT
cana-830	90	7	141	141	NUM
cana-830	90	8	-	-	SYM
cana-830	90	9	147	147	NUM
cana-830	90	10	.	.	PUNCT
cana-830	91	1	communications	communication	NOUN
cana-830	91	2	on	on	ADP
cana-830	91	3	applied	apply	VERB
cana-830	91	4	nonlinear	nonlinear	ADJ
cana-830	91	5	analysis	analysis	NOUN
cana-830	91	6	issn	issn	NOUN
cana-830	91	7	:	:	PUNCT
cana-830	91	8	1074	1074	NUM
cana-830	91	9	-	-	PUNCT
cana-830	91	10	133x	133x	NUM
cana-830	91	11	vol	vol	NOUN
cana-830	91	12	31	31	NUM
cana-830	91	13	no	no	NOUN
cana-830	91	14	.	.	PUNCT
cana-830	92	1	4s	4s	NUM
cana-830	92	2	(	(	PUNCT
cana-830	92	3	2024	2024	NUM
cana-830	92	4	)	)	PUNCT
cana-830	92	5	124	124	NUM
cana-830	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-830	93	1	[	[	X
cana-830	93	2	6	6	NUM
cana-830	93	3	]	]	X
cana-830	93	4	stoll	stoll	PROPN
cana-830	93	5	d	d	PROPN
cana-830	93	6	,	,	PUNCT
cana-830	93	7	templin	templin	NOUN
cana-830	93	8	mf	mf	NOUN
cana-830	93	9	,	,	PUNCT
cana-830	93	10	bachmann	bachmann	PROPN
cana-830	93	11	j	j	PROPN
cana-830	93	12	,	,	PUNCT
cana-830	93	13	joos	joos	PROPN
cana-830	93	14	to	to	PART
cana-830	93	15	:	:	PUNCT
cana-830	93	16	protein	protein	NOUN
cana-830	93	17	microarrays	microarray	NOUN
cana-830	93	18	:	:	PUNCT
cana-830	93	19	applications	application	NOUN
cana-830	93	20	and	and	CCONJ
cana-830	93	21	future	future	ADJ
cana-830	93	22	challenges	challenge	NOUN
cana-830	93	23	.	.	PUNCT
cana-830	94	1	curr	curr	PROPN
cana-830	94	2	opin	opin	NOUN
cana-830	94	3	drug	drug	NOUN
cana-830	94	4	discov	discov	NOUN
cana-830	94	5	devel	devel	NOUN
cana-830	94	6	.	.	PUNCT
cana-830	95	1	2005	2005	NUM
cana-830	95	2	,	,	PUNCT
cana-830	95	3	8	8	NUM
cana-830	95	4	(	(	PUNCT
cana-830	95	5	2	2	NUM
cana-830	95	6	):	):	PUNCT
cana-830	95	7	239	239	NUM
cana-830	95	8	-	-	SYM
cana-830	95	9	252	252	NUM
cana-830	95	10	.	.	PUNCT
cana-830	96	1	[	[	X
cana-830	96	2	7	7	X
cana-830	96	3	]	]	PUNCT
cana-830	96	4	willats	willat	NOUN
cana-830	96	5	wg	wg	VERB
cana-830	96	6	:	:	PUNCT
cana-830	96	7	phage	phage	NOUN
cana-830	96	8	display	display	NOUN
cana-830	96	9	:	:	PUNCT
cana-830	96	10	practicalities	practicality	NOUN
cana-830	96	11	and	and	CCONJ
cana-830	96	12	prospects	prospect	NOUN
cana-830	96	13	.	.	PUNCT
cana-830	97	1	plant	plant	NOUN
cana-830	97	2	mol	mol	ADP
cana-830	97	3	biol	biol	PROPN
cana-830	97	4	.	.	PUNCT
cana-830	98	1	2002	2002	NUM
cana-830	98	2	,	,	PUNCT
cana-830	98	3	50	50	NUM
cana-830	98	4	(	(	PUNCT
cana-830	98	5	6	6	NUM
cana-830	98	6	):	):	PUNCT
cana-830	98	7	837	837	NUM
cana-830	98	8	-	-	SYM
cana-830	98	9	854	854	NUM
cana-830	98	10	.	.	PUNCT
cana-830	99	1	[	[	X
cana-830	99	2	8	8	NUM
cana-830	99	3	]	]	X
cana-830	99	4	tong	tong	PROPN
cana-830	99	5	ah	ah	INTJ
cana-830	99	6	,	,	PUNCT
cana-830	99	7	lesage	lesage	NOUN
cana-830	99	8	g	g	PROPN
cana-830	99	9	,	,	PUNCT
cana-830	99	10	bader	bader	PROPN
cana-830	99	11	gd	gd	PROPN
cana-830	99	12	,	,	PUNCT
cana-830	99	13	ding	ding	NOUN
cana-830	99	14	h	h	NOUN
cana-830	99	15	,	,	PUNCT
cana-830	99	16	xu	xu	PROPN
cana-830	100	1	h	h	NOUN
cana-830	100	2	,	,	PUNCT
cana-830	100	3	xin	xin	PROPN
cana-830	100	4	x	x	PROPN
cana-830	100	5	,	,	PUNCT
cana-830	100	6	young	young	PROPN
cana-830	100	7	j	j	PROPN
cana-830	100	8	,	,	PUNCT
cana-830	100	9	berriz	berriz	PROPN
cana-830	100	10	gf	gf	PROPN
cana-830	100	11	,	,	PUNCT
cana-830	100	12	brost	brost	VERB
cana-830	100	13	rl	rl	PROPN
cana-830	100	14	,	,	PUNCT
cana-830	100	15	chang	chang	PROPN
cana-830	100	16	m	m	PROPN
cana-830	100	17	:	:	PUNCT
cana-830	100	18	global	global	ADJ
cana-830	100	19	mapping	mapping	NOUN
cana-830	100	20	of	of	ADP
cana-830	100	21	the	the	DET
cana-830	100	22	yeast	yeast	NOUN
cana-830	100	23	genetic	genetic	ADJ
cana-830	100	24	interaction	interaction	NOUN
cana-830	100	25	network	network	NOUN
cana-830	100	26	.	.	PUNCT
cana-830	101	1	science	science	NOUN
cana-830	101	2	.	.	PUNCT
cana-830	102	1	2004	2004	NUM
cana-830	102	2	,	,	PUNCT
cana-830	102	3	303	303	NUM
cana-830	102	4	(	(	PUNCT
cana-830	102	5	5659	5659	NUM
cana-830	102	6	):	):	PUNCT
cana-830	102	7	808	808	NUM
cana-830	102	8	-	-	SYM
cana-830	102	9	813	813	NUM
cana-830	102	10	.	.	PUNCT
cana-830	103	1	[	[	X
cana-830	103	2	9	9	NUM
cana-830	103	3	]	]	PUNCT
cana-830	103	4	krogan	krogan	PROPN
cana-830	103	5	nj	nj	PROPN
cana-830	103	6	,	,	PUNCT
cana-830	103	7	cagney	cagney	PROPN
cana-830	103	8	g	g	PROPN
cana-830	103	9	,	,	PUNCT
cana-830	103	10	yu	yu	PROPN
cana-830	103	11	h	h	PROPN
cana-830	103	12	,	,	PUNCT
cana-830	103	13	zhong	zhong	PROPN
cana-830	103	14	g	g	PROPN
cana-830	103	15	,	,	PUNCT
cana-830	103	16	guo	guo	PROPN
cana-830	103	17	x	x	PROPN
cana-830	103	18	,	,	PUNCT
cana-830	103	19	ignatchenko	ignatchenko	PROPN
cana-830	103	20	a	a	PRON
cana-830	103	21	,	,	PUNCT
cana-830	103	22	li	li	PROPN
cana-830	103	23	j	j	PROPN
cana-830	103	24	,	,	PUNCT
cana-830	103	25	pu	pu	PROPN
cana-830	103	26	s	s	PROPN
cana-830	103	27	,	,	PUNCT
cana-830	103	28	datta	datta	PROPN
cana-830	103	29	n	n	CCONJ
cana-830	103	30	,	,	PUNCT
cana-830	103	31	tikuisis	tikuisis	NOUN
cana-830	103	32	ap	ap	PROPN
cana-830	103	33	:	:	PUNCT
cana-830	103	34	global	global	ADJ
cana-830	103	35	landscape	landscape	NOUN
cana-830	103	36	of	of	ADP
cana-830	103	37	protein	protein	NOUN
cana-830	103	38	complexes	complex	NOUN
cana-830	103	39	in	in	ADP
cana-830	103	40	the	the	DET
cana-830	103	41	yeast	yeast	NOUN
cana-830	103	42	saccharomyces	saccharomyce	NOUN
cana-830	103	43	cerevisiae	cerevisiae	NOUN
cana-830	103	44	.	.	PUNCT
cana-830	104	1	nature	nature	NOUN
cana-830	104	2	.	.	PUNCT
cana-830	105	1	2006	2006	NUM
cana-830	105	2	,	,	PUNCT
cana-830	105	3	440	440	NUM
cana-830	105	4	(	(	PUNCT
cana-830	105	5	7084	7084	NUM
cana-830	105	6	):	):	PUNCT
cana-830	105	7	637643	637643	NUM
cana-830	105	8	.	.	PUNCT
cana-830	106	1	[	[	X
cana-830	106	2	10	10	NUM
cana-830	106	3	]	]	X
cana-830	106	4	xenarios	xenarios	PROPN
cana-830	107	1	i	i	PRON
cana-830	107	2	,	,	PUNCT
cana-830	107	3	rice	rice	PROPN
cana-830	107	4	dw	dw	PROPN
cana-830	107	5	,	,	PUNCT
cana-830	107	6	salwinski	salwinski	ADJ
cana-830	107	7	l	l	NOUN
cana-830	107	8	,	,	PUNCT
cana-830	107	9	baron	baron	PROPN
cana-830	107	10	mk	mk	PROPN
cana-830	107	11	,	,	PUNCT
cana-830	107	12	marcotte	marcotte	PROPN
cana-830	107	13	em	em	PRON
cana-830	107	14	,	,	PUNCT
cana-830	107	15	eisenberg	eisenberg	PROPN
cana-830	107	16	d	d	PROPN
cana-830	107	17	:	:	PUNCT
cana-830	107	18	dip	dip	NOUN
cana-830	107	19	:	:	PUNCT
cana-830	107	20	the	the	DET
cana-830	107	21	database	database	NOUN
cana-830	107	22	of	of	ADP
cana-830	107	23	interacting	interact	VERB
cana-830	107	24	proteins	protein	NOUN
cana-830	107	25	.	.	PUNCT
cana-830	108	1	nucleic	nucleic	ADJ
cana-830	108	2	acids	acid	NOUN
cana-830	108	3	res	re	NOUN
cana-830	108	4	.	.	PROPN
cana-830	108	5	2000	2000	NUM
cana-830	108	6	,	,	PUNCT
cana-830	108	7	28	28	NUM
cana-830	108	8	(	(	PUNCT
cana-830	108	9	1	1	NUM
cana-830	108	10	):	):	PUNCT
cana-830	108	11	289	289	NUM
cana-830	108	12	-	-	SYM
cana-830	108	13	291	291	NUM
cana-830	108	14	.	.	PUNCT
cana-830	109	1	[	[	X
cana-830	109	2	11	11	NUM
cana-830	109	3	]	]	X
cana-830	109	4	mewes	mewes	PROPN
cana-830	109	5	hw	hw	PROPN
cana-830	109	6	,	,	PUNCT
cana-830	109	7	frishman	frishman	PROPN
cana-830	109	8	d	d	PROPN
cana-830	109	9	,	,	PUNCT
cana-830	109	10	mayer	mayer	PROPN
cana-830	109	11	kf	kf	PROPN
cana-830	109	12	,	,	PUNCT
cana-830	109	13	munsterkotter	munsterkotter	PROPN
cana-830	109	14	m	m	PROPN
cana-830	109	15	,	,	PUNCT
cana-830	109	16	noubibou	noubibou	PROPN
cana-830	109	17	o	o	NOUN
cana-830	109	18	,	,	PUNCT
cana-830	109	19	pagel	pagel	NOUN
cana-830	109	20	p	p	NOUN
cana-830	109	21	,	,	PUNCT
cana-830	109	22	rattei	rattei	NOUN
cana-830	109	23	t	t	PROPN
cana-830	109	24	,	,	PUNCT
cana-830	109	25	oesterheld	oesterheld	PROPN
cana-830	109	26	m	m	PROPN
cana-830	109	27	,	,	PUNCT
cana-830	109	28	ruepp	ruepp	NOUN
cana-830	109	29	a	a	PRON
cana-830	109	30	,	,	PUNCT
cana-830	109	31	stumpflen	stumpflen	ADJ
cana-830	109	32	v	v	ADP
cana-830	109	33	:	:	PUNCT
cana-830	109	34	mips	mip	NOUN
cana-830	109	35	:	:	PUNCT
cana-830	109	36	analysis	analysis	NOUN
cana-830	109	37	and	and	CCONJ
cana-830	109	38	annotation	annotation	NOUN
cana-830	109	39	of	of	ADP
cana-830	109	40	proteins	protein	NOUN
cana-830	109	41	from	from	ADP
cana-830	109	42	whole	whole	ADJ
cana-830	109	43	genomes	genome	NOUN
cana-830	109	44	in	in	ADP
cana-830	109	45	2005	2005	NUM
cana-830	109	46	.	.	PUNCT
cana-830	110	1	nucleic	nucleic	ADJ
cana-830	110	2	acids	acid	NOUN
cana-830	110	3	res	re	NOUN
cana-830	110	4	.	.	PUNCT
cana-830	111	1	2006	2006	NUM
cana-830	111	2	,	,	PUNCT
cana-830	111	3	d169	d169	PROPN
cana-830	111	4	-	-	PROPN
cana-830	111	5	172	172	NUM
cana-830	111	6	.	.	PUNCT
cana-830	111	7	34	34	NUM
cana-830	111	8	database	database	NOUN
cana-830	111	9	.	.	PUNCT