id	sid	tid	token	lemma	pos
cana-3807	1	1	communications	communication	NOUN
cana-3807	1	2	on	on	ADP
cana-3807	1	3	applied	apply	VERB
cana-3807	1	4	nonlinear	nonlinear	ADJ
cana-3807	1	5	analysis	analysis	NOUN
cana-3807	1	6	issn	issn	NOUN
cana-3807	1	7	:	:	PUNCT
cana-3807	1	8	1074	1074	NUM
cana-3807	1	9	-	-	PUNCT
cana-3807	1	10	133x	133x	NUM
cana-3807	1	11	vol	vol	NOUN
cana-3807	1	12	32	32	NUM
cana-3807	1	13	no	no	NOUN
cana-3807	1	14	.	.	PUNCT
cana-3807	2	1	8s	8s	PROPN
cana-3807	2	2	(	(	PUNCT
cana-3807	2	3	2025	2025	NUM
cana-3807	2	4	)	)	PUNCT
cana-3807	2	5	763	763	NUM
cana-3807	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3807	2	7	optimizing	optimize	VERB
cana-3807	2	8	graph	graph	NOUN
cana-3807	2	9	algorithms	algorithm	NOUN
cana-3807	2	10	for	for	ADP
cana-3807	2	11	large	large	ADJ
cana-3807	2	12	-	-	PUNCT
cana-3807	2	13	scale	scale	NOUN
cana-3807	2	14	networks	network	NOUN
cana-3807	2	15	:	:	PUNCT
cana-3807	2	16	a	a	DET
cana-3807	2	17	mathematical	mathematical	ADJ
cana-3807	2	18	framework	framework	NOUN
cana-3807	2	19	1dr	1dr	NOUN
cana-3807	2	20	.	.	PUNCT
cana-3807	3	1	radheshyam	radheshyam	NOUN
cana-3807	3	2	r	r	PROPN
cana-3807	3	3	sharma	sharma	PROPN
cana-3807	3	4	,	,	PUNCT
cana-3807	3	5	2dr	2dr	NOUN
cana-3807	3	6	.	.	PUNCT
cana-3807	4	1	banitamani	banitamani	PROPN
cana-3807	4	2	mallik	mallik	PROPN
cana-3807	4	3	,	,	PUNCT
cana-3807	4	4	3dr	3dr	PROPN
cana-3807	4	5	.	.	PUNCT
cana-3807	5	1	k.	k.	PROPN
cana-3807	5	2	madhavi	madhavi	PROPN
cana-3807	5	3	,	,	PUNCT
cana-3807	5	4	4dr	4dr	NOUN
cana-3807	5	5	.	.	PUNCT
cana-3807	6	1	ahat	ahat	PROPN
cana-3807	6	2	ahrorovich	ahrorovich	PROPN
cana-3807	6	3	ahmedov	ahmedov	PROPN
cana-3807	6	4	,	,	PUNCT
cana-3807	6	5	5dr	5dr	PROPN
cana-3807	6	6	.	.	PUNCT
cana-3807	7	1	t.r.k.d	t.r.k.d	PROPN
cana-3807	7	2	.	.	PROPN
cana-3807	7	3	vara	vara	PROPN
cana-3807	7	4	prasad	prasad	PROPN
cana-3807	7	5	,	,	PUNCT
cana-3807	7	6	6dr	6dr	NOUN
cana-3807	7	7	.	.	PUNCT
cana-3807	8	1	maddikera	maddikera	PROPN
cana-3807	8	2	kalyan	kalyan	PROPN
cana-3807	8	3	chakravarthi	chakravarthi	NOUN
cana-3807	8	4	,	,	PUNCT
cana-3807	8	5	*	*	NOUN
cana-3807	8	6	7dr	7dr	NOUN
cana-3807	8	7	.	.	PUNCT
cana-3807	9	1	nellore	nellore	PROPN
cana-3807	9	2	manoj	manoj	PROPN
cana-3807	9	3	kumar	kumar	PROPN
cana-3807	9	4	1assistant	1assistant	PROPN
cana-3807	9	5	professor	professor	NOUN
cana-3807	9	6	of	of	ADP
cana-3807	9	7	mathematics	mathematic	NOUN
cana-3807	9	8	,	,	PUNCT
cana-3807	9	9	podar	podar	NOUN
cana-3807	9	10	world	world	PROPN
cana-3807	9	11	college	college	PROPN
cana-3807	9	12	,	,	PUNCT
cana-3807	9	13	mumbai	mumbai	PROPN
cana-3807	9	14	,	,	PUNCT
cana-3807	9	15	india	india	PROPN
cana-3807	9	16	,	,	PUNCT
cana-3807	9	17	pincode	pincode	PROPN
cana-3807	9	18	:	:	PUNCT
cana-3807	9	19	400049	400049	NUM
cana-3807	9	20	email	email	NOUN
cana-3807	10	1	i	i	PROPN
cana-3807	10	2	d	d	PROPN
cana-3807	10	3	:	:	PUNCT
cana-3807	10	4	mathematics.29@gmail.com	mathematics.29@gmail.com	PROPN
cana-3807	10	5	2professor	2professor	NUM
cana-3807	10	6	of	of	ADP
cana-3807	10	7	mathematics	mathematic	NOUN
cana-3807	10	8	,	,	PUNCT
cana-3807	10	9	school	school	NOUN
cana-3807	10	10	of	of	ADP
cana-3807	10	11	applied	apply	VERB
cana-3807	10	12	sciences	science	NOUN
cana-3807	10	13	,	,	PUNCT
cana-3807	10	14	centurion	centurion	NOUN
cana-3807	10	15	university	university	PROPN
cana-3807	10	16	of	of	ADP
cana-3807	10	17	technology	technology	NOUN
cana-3807	10	18	and	and	CCONJ
cana-3807	10	19	management	management	NOUN
cana-3807	10	20	,	,	PUNCT
cana-3807	10	21	gajapati	gajapati	PROPN
cana-3807	10	22	,	,	PUNCT
cana-3807	10	23	odisha	odisha	PROPN
cana-3807	10	24	,	,	PUNCT
cana-3807	10	25	india	india	PROPN
cana-3807	10	26	,	,	PUNCT
cana-3807	10	27	pincode	pincode	ADJ
cana-3807	10	28	:	:	PUNCT
cana-3807	10	29	761211	761211	NUM
cana-3807	10	30	email	email	NOUN
cana-3807	10	31	i	i	PROPN
cana-3807	10	32	d	d	PROPN
cana-3807	10	33	:	:	PUNCT
cana-3807	10	34	banita.mallik@cutm.ac.in	banita.mallik@cutm.ac.in	NUM
cana-3807	10	35	3assistant	3assistant	NUM
cana-3807	10	36	professor	professor	NOUN
cana-3807	10	37	,	,	PUNCT
cana-3807	10	38	department	department	NOUN
cana-3807	10	39	of	of	ADP
cana-3807	10	40	mathematics	mathematic	NOUN
cana-3807	10	41	,	,	PUNCT
cana-3807	10	42	mallareddy	mallareddy	ADJ
cana-3807	10	43	engineering	engineering	NOUN
cana-3807	10	44	college	college	PROPN
cana-3807	10	45	(	(	PUNCT
cana-3807	10	46	autonomous	autonomous	ADJ
cana-3807	10	47	)	)	PUNCT
cana-3807	10	48	,	,	PUNCT
cana-3807	10	49	main	main	ADJ
cana-3807	10	50	campus	campus	NOUN
cana-3807	10	51	,	,	PUNCT
cana-3807	10	52	maisammaguda	maisammaguda	NOUN
cana-3807	10	53	,	,	PUNCT
cana-3807	10	54	dhulapally	dhulapally	ADV
cana-3807	10	55	,	,	PUNCT
cana-3807	10	56	secunderabad	secunderabad	PROPN
cana-3807	10	57	,	,	PUNCT
cana-3807	10	58	telangana	telangana	PROPN
cana-3807	10	59	,	,	PUNCT
cana-3807	10	60	india	india	PROPN
cana-3807	10	61	,	,	PUNCT
cana-3807	10	62	pincode	pincode	ADJ
cana-3807	10	63	:	:	PUNCT
cana-3807	10	64	500100	500100	NUM
cana-3807	10	65	email	email	NOUN
cana-3807	10	66	i	i	PROPN
cana-3807	10	67	d	d	PROPN
cana-3807	10	68	:	:	PUNCT
cana-3807	10	69	madhavimathematics@gmail.com	madhavimathematics@gmail.com	X
cana-3807	11	1	4professor	4professor	NUM
cana-3807	11	2	of	of	ADP
cana-3807	11	3	physics	physics	PROPN
cana-3807	11	4	,	,	PUNCT
cana-3807	11	5	department	department	PROPN
cana-3807	11	6	of	of	ADP
cana-3807	11	7	physics	physics	PROPN
cana-3807	11	8	and	and	CCONJ
cana-3807	11	9	astronomy	astronomy	NOUN
cana-3807	11	10	,	,	PUNCT
cana-3807	11	11	navoi	navoi	NOUN
cana-3807	11	12	state	state	PROPN
cana-3807	11	13	university	university	PROPN
cana-3807	11	14	,	,	PUNCT
cana-3807	11	15	navoi	navoi	NOUN
cana-3807	11	16	,	,	PUNCT
cana-3807	11	17	uzbekistan	uzbekistan	PROPN
cana-3807	11	18	,	,	PUNCT
cana-3807	11	19	postal	postal	ADJ
cana-3807	11	20	code	code	PROPN
cana-3807	11	21	:	:	PUNCT
cana-3807	11	22	210100	210100	NUM
cana-3807	11	23	email	email	NOUN
cana-3807	12	1	i	i	PROPN
cana-3807	12	2	d	d	PROPN
cana-3807	12	3	:	:	PUNCT
cana-3807	12	4	ahmedov777@nspi.uz	ahmedov777@nspi.uz	PROPN
cana-3807	12	5	5assistant	5assistant	NUM
cana-3807	12	6	professor	professor	NOUN
cana-3807	12	7	,	,	PUNCT
cana-3807	12	8	e.m	e.m	PROPN
cana-3807	12	9	&	&	CCONJ
cana-3807	12	10	h	h	PROPN
cana-3807	12	11	department	department	PROPN
cana-3807	12	12	,	,	PUNCT
cana-3807	12	13	s.r.k.r	s.r.k.r	PROPN
cana-3807	12	14	.	.	PROPN
cana-3807	12	15	engineering	engineering	PROPN
cana-3807	12	16	college	college	PROPN
cana-3807	12	17	,	,	PUNCT
cana-3807	12	18	bhimavaram	bhimavaram	PROPN
cana-3807	12	19	,	,	PUNCT
cana-3807	12	20	andhra	andhra	PROPN
cana-3807	12	21	pradesh	pradesh	PROPN
cana-3807	12	22	,	,	PUNCT
cana-3807	12	23	india	india	PROPN
cana-3807	12	24	,	,	PUNCT
cana-3807	12	25	pincode	pincode	ADJ
cana-3807	12	26	:	:	PUNCT
cana-3807	12	27	534204	534204	NUM
cana-3807	12	28	email	email	NOUN
cana-3807	13	1	i	i	PROPN
cana-3807	13	2	d	d	PROPN
cana-3807	13	3	:	:	PUNCT
cana-3807	14	1	trkdvprasad@gmail.com	trkdvprasad@gmail.com	PROPN
cana-3807	15	1	6senior	6senior	NUM
cana-3807	15	2	lecturer	lecturer	NOUN
cana-3807	15	3	,	,	PUNCT
cana-3807	15	4	department	department	NOUN
cana-3807	15	5	of	of	ADP
cana-3807	15	6	electronics	electronic	NOUN
cana-3807	15	7	and	and	CCONJ
cana-3807	15	8	telecommunication	telecommunication	NOUN
cana-3807	15	9	engineering	engineering	NOUN
cana-3807	15	10	,	,	PUNCT
cana-3807	15	11	university	university	NOUN
cana-3807	15	12	of	of	ADP
cana-3807	15	13	technology	technology	NOUN
cana-3807	15	14	and	and	CCONJ
cana-3807	15	15	applied	apply	VERB
cana-3807	15	16	sciences	science	NOUN
cana-3807	15	17	,	,	PUNCT
cana-3807	15	18	po	po	PROPN
cana-3807	15	19	box	box	PROPN
cana-3807	15	20	74	74	NUM
cana-3807	15	21	,	,	PUNCT
cana-3807	15	22	al	al	PROPN
cana-3807	15	23	khuwair	khuwair	PROPN
cana-3807	15	24	,	,	PUNCT
cana-3807	15	25	muscat	muscat	PROPN
cana-3807	15	26	133	133	NUM
cana-3807	15	27	,	,	PUNCT
cana-3807	15	28	sultanate	sultanate	NOUN
cana-3807	15	29	of	of	ADP
cana-3807	15	30	oman	oman	NOUN
cana-3807	15	31	,	,	PUNCT
cana-3807	15	32	email	email	NOUN
cana-3807	16	1	i	i	PROPN
cana-3807	16	2	d	d	PROPN
cana-3807	16	3	:	:	PUNCT
cana-3807	17	1	kalyan.maddikera@utas.edu.om	kalyan.maddikera@utas.edu.om	PROPN
cana-3807	17	2	7department	7department	NUM
cana-3807	17	3	of	of	ADP
cana-3807	17	4	mathematics	mathematic	NOUN
cana-3807	17	5	,	,	PUNCT
cana-3807	17	6	saveetha	saveetha	PROPN
cana-3807	17	7	school	school	PROPN
cana-3807	17	8	of	of	ADP
cana-3807	17	9	engineering	engineering	PROPN
cana-3807	17	10	,	,	PUNCT
cana-3807	17	11	saveetha	saveetha	PROPN
cana-3807	17	12	institute	institute	PROPN
cana-3807	17	13	of	of	ADP
cana-3807	17	14	medical	medical	ADJ
cana-3807	17	15	and	and	CCONJ
cana-3807	17	16	technical	technical	ADJ
cana-3807	17	17	sciences	science	NOUN
cana-3807	17	18	(	(	PUNCT
cana-3807	17	19	simats	simat	NOUN
cana-3807	17	20	)	)	PUNCT
cana-3807	17	21	,	,	PUNCT
cana-3807	17	22	thandalam	thandalam	PROPN
cana-3807	17	23	,	,	PUNCT
cana-3807	17	24	chennai	chennai	PROPN
cana-3807	17	25	,	,	PUNCT
cana-3807	17	26	tamilnadu	tamilnadu	NOUN
cana-3807	17	27	,	,	PUNCT
cana-3807	17	28	india	india	PROPN
cana-3807	17	29	,	,	PUNCT
cana-3807	17	30	pincode	pincode	PROPN
cana-3807	17	31	:	:	PUNCT
cana-3807	17	32	602	602	NUM
cana-3807	17	33	105	105	NUM
cana-3807	17	34	email	email	NOUN
cana-3807	17	35	i	i	PROPN
cana-3807	17	36	d	d	PROPN
cana-3807	17	37	:	:	PUNCT
cana-3807	17	38	nelloremk@gmail.com	nelloremk@gmail.com	X
cana-3807	18	1	orcid	orcid	NOUN
cana-3807	18	2	:	:	PUNCT
cana-3807	18	3	0000	0000	NUM
cana-3807	18	4	-	-	PUNCT
cana-3807	18	5	0002	0002	NUM
cana-3807	18	6	-	-	PUNCT
cana-3807	18	7	1349	1349	NUM
cana-3807	18	8	-	-	PUNCT
cana-3807	18	9	800x	800x	NUM
cana-3807	18	10	article	article	NOUN
cana-3807	18	11	history	history	NOUN
cana-3807	18	12	:	:	PUNCT
cana-3807	18	13	received	receive	VERB
cana-3807	18	14	:	:	PUNCT
cana-3807	18	15	12	12	NUM
cana-3807	18	16	-	-	SYM
cana-3807	18	17	11	11	NUM
cana-3807	18	18	-	-	PUNCT
cana-3807	18	19	2024	2024	NUM
cana-3807	18	20	revised:18	revised:18	NOUN
cana-3807	18	21	-	-	PUNCT
cana-3807	18	22	12	12	NUM
cana-3807	18	23	-	-	PUNCT
cana-3807	18	24	2024	2024	NUM
cana-3807	18	25	accepted:05	accepted:05	X
cana-3807	18	26	-	-	PUNCT
cana-3807	18	27	01	01	NUM
cana-3807	18	28	-	-	PUNCT
cana-3807	18	29	2025	2025	NUM
cana-3807	18	30	abstract	abstract	NOUN
cana-3807	18	31	:	:	PUNCT
cana-3807	18	32	a	a	DET
cana-3807	18	33	mathematical	mathematical	ADJ
cana-3807	18	34	framework	framework	NOUN
cana-3807	18	35	for	for	ADP
cana-3807	18	36	optimising	optimise	VERB
cana-3807	18	37	graph	graph	NOUN
cana-3807	18	38	algorithms	algorithm	NOUN
cana-3807	18	39	for	for	ADP
cana-3807	18	40	largescale	largescale	NOUN
cana-3807	18	41	networks	network	NOUN
cana-3807	18	42	is	be	AUX
cana-3807	18	43	presented	present	VERB
cana-3807	18	44	in	in	ADP
cana-3807	18	45	this	this	DET
cana-3807	18	46	paper	paper	NOUN
cana-3807	18	47	.	.	PUNCT
cana-3807	19	1	the	the	DET
cana-3807	19	2	effectiveness	effectiveness	NOUN
cana-3807	19	3	and	and	CCONJ
cana-3807	19	4	scalability	scalability	NOUN
cana-3807	19	5	of	of	ADP
cana-3807	19	6	classical	classical	ADJ
cana-3807	19	7	graph	graph	NOUN
cana-3807	19	8	algorithms	algorithm	NOUN
cana-3807	19	9	are	be	AUX
cana-3807	19	10	severely	severely	ADV
cana-3807	19	11	hampered	hamper	VERB
cana-3807	19	12	by	by	ADP
cana-3807	19	13	the	the	DET
cana-3807	19	14	growing	grow	VERB
cana-3807	19	15	complexity	complexity	NOUN
cana-3807	19	16	and	and	CCONJ
cana-3807	19	17	scale	scale	NOUN
cana-3807	19	18	of	of	ADP
cana-3807	19	19	networks	network	NOUN
cana-3807	19	20	.	.	PUNCT
cana-3807	20	1	this	this	DET
cana-3807	20	2	study	study	NOUN
cana-3807	20	3	presents	present	VERB
cana-3807	20	4	new	new	ADJ
cana-3807	20	5	optimisation	optimisation	NOUN
cana-3807	20	6	strategies	strategy	NOUN
cana-3807	20	7	,	,	PUNCT
cana-3807	20	8	such	such	ADJ
cana-3807	20	9	as	as	ADP
cana-3807	20	10	graph	graph	NOUN
cana-3807	20	11	partitioning	partitioning	NOUN
cana-3807	20	12	,	,	PUNCT
cana-3807	20	13	heuristics	heuristic	NOUN
cana-3807	20	14	,	,	PUNCT
cana-3807	20	15	and	and	CCONJ
cana-3807	20	16	parallel	parallel	ADJ
cana-3807	20	17	computing	computing	NOUN
cana-3807	20	18	tactics	tactic	NOUN
cana-3807	20	19	,	,	PUNCT
cana-3807	20	20	that	that	PRON
cana-3807	20	21	improve	improve	VERB
cana-3807	20	22	algorithm	algorithm	NOUN
cana-3807	20	23	performance	performance	NOUN
cana-3807	20	24	using	use	VERB
cana-3807	20	25	sophisticated	sophisticated	ADJ
cana-3807	20	26	mathematical	mathematical	ADJ
cana-3807	20	27	models	model	NOUN
cana-3807	20	28	.	.	PUNCT
cana-3807	21	1	the	the	DET
cana-3807	21	2	framework	framework	NOUN
cana-3807	21	3	exhibits	exhibit	VERB
cana-3807	21	4	enhanced	enhanced	ADJ
cana-3807	21	5	computing	computing	NOUN
cana-3807	21	6	efficiency	efficiency	NOUN
cana-3807	21	7	and	and	CCONJ
cana-3807	21	8	decreased	decrease	VERB
cana-3807	21	9	processing	processing	NOUN
cana-3807	21	10	time	time	NOUN
cana-3807	21	11	for	for	ADP
cana-3807	21	12	a	a	DET
cana-3807	21	13	variety	variety	NOUN
cana-3807	21	14	of	of	ADP
cana-3807	21	15	graph	graph	NOUN
cana-3807	21	16	-	-	PUNCT
cana-3807	21	17	related	relate	VERB
cana-3807	21	18	activities	activity	NOUN
cana-3807	21	19	,	,	PUNCT
cana-3807	21	20	including	include	VERB
cana-3807	21	21	network	network	NOUN
cana-3807	21	22	flows	flow	NOUN
cana-3807	21	23	,	,	PUNCT
cana-3807	21	24	connectivity	connectivity	NOUN
cana-3807	21	25	assessments	assessment	NOUN
cana-3807	21	26	,	,	PUNCT
cana-3807	21	27	and	and	CCONJ
cana-3807	21	28	shortest	short	ADJ
cana-3807	21	29	path	path	NOUN
cana-3807	21	30	computations	computation	NOUN
cana-3807	21	31	,	,	PUNCT
cana-3807	21	32	by	by	ADP
cana-3807	21	33	utilising	utilise	VERB
cana-3807	21	34	rigorous	rigorous	ADJ
cana-3807	21	35	theoretical	theoretical	ADJ
cana-3807	21	36	analysis	analysis	NOUN
cana-3807	21	37	in	in	ADP
cana-3807	21	38	conjunction	conjunction	NOUN
cana-3807	21	39	with	with	ADP
cana-3807	21	40	empirical	empirical	ADJ
cana-3807	21	41	testing	testing	NOUN
cana-3807	21	42	.	.	PUNCT
cana-3807	22	1	the	the	DET
cana-3807	22	2	results	result	NOUN
cana-3807	22	3	offer	offer	VERB
cana-3807	22	4	a	a	DET
cana-3807	22	5	significant	significant	ADJ
cana-3807	22	6	step	step	NOUN
cana-3807	22	7	in	in	ADP
cana-3807	22	8	facilitating	facilitate	VERB
cana-3807	22	9	the	the	DET
cana-3807	22	10	management	management	NOUN
cana-3807	22	11	of	of	ADP
cana-3807	22	12	large	large	ADJ
cana-3807	22	13	datasets	dataset	NOUN
cana-3807	22	14	found	find	VERB
cana-3807	22	15	in	in	ADP
cana-3807	22	16	contemporary	contemporary	ADJ
cana-3807	22	17	applications	application	NOUN
cana-3807	22	18	,	,	PUNCT
cana-3807	22	19	such	such	ADJ
cana-3807	22	20	as	as	ADP
cana-3807	22	21	social	social	ADJ
cana-3807	22	22	networks	network	NOUN
cana-3807	22	23	,	,	PUNCT
cana-3807	22	24	biological	biological	ADJ
cana-3807	22	25	systems	system	NOUN
cana-3807	22	26	,	,	PUNCT
cana-3807	22	27	and	and	CCONJ
cana-3807	22	28	telecommunications	telecommunication	NOUN
cana-3807	22	29	.	.	PUNCT
cana-3807	23	1	in	in	ADP
cana-3807	23	2	the	the	DET
cana-3807	23	3	end	end	NOUN
cana-3807	23	4	,	,	PUNCT
cana-3807	23	5	by	by	ADP
cana-3807	23	6	providing	provide	VERB
cana-3807	23	7	workable	workable	ADJ
cana-3807	23	8	methods	method	NOUN
cana-3807	23	9	suited	suit	VERB
cana-3807	23	10	to	to	ADP
cana-3807	23	11	the	the	DET
cana-3807	23	12	requirements	requirement	NOUN
cana-3807	23	13	of	of	ADP
cana-3807	23	14	large	large	ADJ
cana-3807	23	15	-	-	PUNCT
cana-3807	23	16	scale	scale	NOUN
cana-3807	23	17	networks	network	NOUN
cana-3807	23	18	,	,	PUNCT
cana-3807	23	19	this	this	DET
cana-3807	23	20	study	study	NOUN
cana-3807	23	21	advances	advance	VERB
cana-3807	23	22	the	the	DET
cana-3807	23	23	fields	field	NOUN
cana-3807	23	24	of	of	ADP
cana-3807	23	25	graph	graph	NOUN
cana-3807	23	26	mailto:mathematics.29@gmail.com	mailto:mathematics.29@gmail.com	PROPN
cana-3807	23	27	mailto:banita.mallik@cutm.ac.in	mailto:banita.mallik@cutm.ac.in	NOUN
cana-3807	23	28	mailto:madhavimathematics@gmail.com	mailto:madhavimathematics@gmail.com	PROPN
cana-3807	23	29	mailto:ahmedov777@nspi.uz	mailto:ahmedov777@nspi.uz	PROPN
cana-3807	23	30	mailto:trkdvprasad@gmail.com	mailto:trkdvprasad@gmail.com	PUNCT
cana-3807	24	1	mailto:kalyan.maddikera@utas.edu.om	mailto:kalyan.maddikera@utas.edu.om	NOUN
cana-3807	24	2	mailto:nelloremk@gmail.com	mailto:nelloremk@gmail.com	NOUN
cana-3807	24	3	communications	communication	NOUN
cana-3807	24	4	on	on	ADP
cana-3807	24	5	applied	apply	VERB
cana-3807	24	6	nonlinear	nonlinear	ADJ
cana-3807	24	7	analysis	analysis	NOUN
cana-3807	24	8	issn	issn	NOUN
cana-3807	24	9	:	:	PUNCT
cana-3807	24	10	1074	1074	NUM
cana-3807	24	11	-	-	PUNCT
cana-3807	24	12	133x	133x	NUM
cana-3807	24	13	vol	vol	NOUN
cana-3807	24	14	32	32	NUM
cana-3807	24	15	no	no	NOUN
cana-3807	24	16	.	.	PUNCT
cana-3807	25	1	8s	8s	PROPN
cana-3807	25	2	(	(	PUNCT
cana-3807	25	3	2025	2025	NUM
cana-3807	25	4	)	)	PUNCT
cana-3807	25	5	764	764	NUM
cana-3807	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3807	25	7	theory	theory	NOUN
cana-3807	25	8	and	and	CCONJ
cana-3807	25	9	network	network	NOUN
cana-3807	25	10	optimisation	optimisation	NOUN
cana-3807	25	11	and	and	CCONJ
cana-3807	25	12	makes	make	VERB
cana-3807	25	13	data	datum	NOUN
cana-3807	25	14	administration	administration	NOUN
cana-3807	25	15	and	and	CCONJ
cana-3807	25	16	analysis	analysis	NOUN
cana-3807	25	17	more	more	ADV
cana-3807	25	18	efficient	efficient	ADJ
cana-3807	25	19	.	.	PUNCT
cana-3807	26	1	keywords	keyword	NOUN
cana-3807	26	2	:	:	PUNCT
cana-3807	26	3	accuracy	accuracy	NOUN
cana-3807	26	4	,	,	PUNCT
cana-3807	26	5	bellman	bellman	NOUN
cana-3807	26	6	-	-	PUNCT
cana-3807	26	7	ford	ford	PROPN
cana-3807	26	8	algorithm	algorithm	NOUN
cana-3807	26	9	,	,	PUNCT
cana-3807	26	10	betweenness	betweenness	NOUN
cana-3807	26	11	centrality	centrality	NOUN
cana-3807	26	12	,	,	PUNCT
cana-3807	26	13	cpu	cpu	NOUN
cana-3807	26	14	usage	usage	NOUN
cana-3807	26	15	,	,	PUNCT
cana-3807	26	16	execution	execution	NOUN
cana-3807	26	17	time	time	NOUN
cana-3807	26	18	,	,	PUNCT
cana-3807	26	19	graph	graph	NOUN
cana-3807	26	20	laplacian	laplacian	ADJ
cana-3807	26	21	matrix	matrix	NOUN
cana-3807	26	22	,	,	PUNCT
cana-3807	26	23	gradient	gradient	ADJ
cana-3807	26	24	descent	descent	NOUN
cana-3807	26	25	,	,	PUNCT
cana-3807	26	26	memory	memory	NOUN
cana-3807	26	27	usage	usage	NOUN
cana-3807	26	28	,	,	PUNCT
cana-3807	26	29	resource	resource	NOUN
cana-3807	26	30	utilization	utilization	NOUN
cana-3807	26	31	,	,	PUNCT
cana-3807	26	32	scalability	scalability	NOUN
cana-3807	26	33	.	.	PUNCT
cana-3807	27	1	i.	i.	PROPN
cana-3807	27	2	introduction	introduction	PROPN
cana-3807	27	3	large	large	ADJ
cana-3807	27	4	-	-	PUNCT
cana-3807	27	5	scale	scale	NOUN
cana-3807	27	6	networks	network	NOUN
cana-3807	27	7	that	that	PRON
cana-3807	27	8	span	span	VERB
cana-3807	27	9	a	a	DET
cana-3807	27	10	variety	variety	NOUN
cana-3807	27	11	of	of	ADP
cana-3807	27	12	domains	domain	NOUN
cana-3807	27	13	,	,	PUNCT
cana-3807	27	14	including	include	VERB
cana-3807	27	15	social	social	ADJ
cana-3807	27	16	media	medium	NOUN
cana-3807	27	17	platforms	platform	NOUN
cana-3807	27	18	,	,	PUNCT
cana-3807	27	19	transportation	transportation	NOUN
cana-3807	27	20	systems	system	NOUN
cana-3807	27	21	,	,	PUNCT
cana-3807	27	22	biological	biological	ADJ
cana-3807	27	23	networks	network	NOUN
cana-3807	27	24	,	,	PUNCT
cana-3807	27	25	and	and	CCONJ
cana-3807	27	26	telecommunications	telecommunication	NOUN
cana-3807	27	27	,	,	PUNCT
cana-3807	27	28	have	have	AUX
cana-3807	27	29	emerged	emerge	VERB
cana-3807	27	30	as	as	ADP
cana-3807	27	31	a	a	DET
cana-3807	27	32	result	result	NOUN
cana-3807	27	33	of	of	ADP
cana-3807	27	34	the	the	DET
cana-3807	27	35	exponential	exponential	ADJ
cana-3807	27	36	development	development	NOUN
cana-3807	27	37	of	of	ADP
cana-3807	27	38	data	datum	NOUN
cana-3807	27	39	in	in	ADP
cana-3807	27	40	contemporary	contemporary	ADJ
cana-3807	27	41	applications	application	NOUN
cana-3807	27	42	.	.	PUNCT
cana-3807	28	1	these	these	DET
cana-3807	28	2	networks	network	NOUN
cana-3807	28	3	are	be	AUX
cana-3807	28	4	distinguished	distinguish	VERB
cana-3807	28	5	by	by	ADP
cana-3807	28	6	the	the	DET
cana-3807	28	7	dynamic	dynamic	ADJ
cana-3807	28	8	nature	nature	NOUN
cana-3807	28	9	of	of	ADP
cana-3807	28	10	their	their	PRON
cana-3807	28	11	interactions	interaction	NOUN
cana-3807	28	12	,	,	PUNCT
cana-3807	28	13	their	their	PRON
cana-3807	28	14	enormous	enormous	ADJ
cana-3807	28	15	scale	scale	NOUN
cana-3807	28	16	,	,	PUNCT
cana-3807	28	17	and	and	CCONJ
cana-3807	28	18	their	their	PRON
cana-3807	28	19	complex	complex	ADJ
cana-3807	28	20	topologies	topology	NOUN
cana-3807	28	21	.	.	PUNCT
cana-3807	29	1	many	many	ADJ
cana-3807	29	2	scientific	scientific	ADJ
cana-3807	29	3	and	and	CCONJ
cana-3807	29	4	engineering	engineering	NOUN
cana-3807	29	5	fields	field	NOUN
cana-3807	29	6	now	now	ADV
cana-3807	29	7	rely	rely	VERB
cana-3807	29	8	heavily	heavily	ADV
cana-3807	29	9	on	on	ADP
cana-3807	29	10	the	the	DET
cana-3807	29	11	analysis	analysis	NOUN
cana-3807	29	12	and	and	CCONJ
cana-3807	29	13	optimisation	optimisation	NOUN
cana-3807	29	14	of	of	ADP
cana-3807	29	15	such	such	ADJ
cana-3807	29	16	networks	network	NOUN
cana-3807	29	17	,	,	PUNCT
cana-3807	29	18	with	with	ADP
cana-3807	29	19	graph	graph	NOUN
cana-3807	29	20	theory	theory	NOUN
cana-3807	29	21	acting	act	VERB
cana-3807	29	22	as	as	ADP
cana-3807	29	23	a	a	DET
cana-3807	29	24	fundamental	fundamental	ADJ
cana-3807	29	25	tool	tool	NOUN
cana-3807	29	26	in	in	ADP
cana-3807	29	27	these	these	DET
cana-3807	29	28	fields	field	NOUN
cana-3807	29	29	.	.	PUNCT
cana-3807	30	1	however	however	ADV
cana-3807	30	2	,	,	PUNCT
cana-3807	30	3	when	when	SCONJ
cana-3807	30	4	faced	face	VERB
cana-3807	30	5	with	with	ADP
cana-3807	30	6	the	the	DET
cana-3807	30	7	size	size	NOUN
cana-3807	30	8	and	and	CCONJ
cana-3807	30	9	complexity	complexity	NOUN
cana-3807	30	10	of	of	ADP
cana-3807	30	11	modern	modern	ADJ
cana-3807	30	12	networks	network	NOUN
cana-3807	30	13	,	,	PUNCT
cana-3807	30	14	classic	classic	ADJ
cana-3807	30	15	graph	graph	NOUN
cana-3807	30	16	algorithms	algorithm	NOUN
cana-3807	30	17	—	—	PUNCT
cana-3807	30	18	which	which	PRON
cana-3807	30	19	were	be	AUX
cana-3807	30	20	created	create	VERB
cana-3807	30	21	for	for	ADP
cana-3807	30	22	smaller	small	ADJ
cana-3807	30	23	and	and	CCONJ
cana-3807	30	24	simpler	simple	ADJ
cana-3807	30	25	networks	network	NOUN
cana-3807	30	26	—	—	PUNCT
cana-3807	30	27	frequently	frequently	ADV
cana-3807	30	28	find	find	VERB
cana-3807	30	29	it	it	PRON
cana-3807	30	30	difficult	difficult	ADJ
cana-3807	30	31	to	to	PART
cana-3807	30	32	retain	retain	VERB
cana-3807	30	33	efficiency	efficiency	NOUN
cana-3807	30	34	and	and	CCONJ
cana-3807	30	35	scalability	scalability	NOUN
cana-3807	30	36	.	.	PUNCT
cana-3807	31	1	in	in	ADP
cana-3807	31	2	order	order	NOUN
cana-3807	31	3	to	to	PART
cana-3807	31	4	overcome	overcome	VERB
cana-3807	31	5	this	this	DET
cana-3807	31	6	difficulty	difficulty	NOUN
cana-3807	31	7	and	and	CCONJ
cana-3807	31	8	make	make	VERB
cana-3807	31	9	graph	graph	NOUN
cana-3807	31	10	algorithms	algorithm	NOUN
cana-3807	31	11	suitable	suitable	ADJ
cana-3807	31	12	for	for	ADP
cana-3807	31	13	managing	manage	VERB
cana-3807	31	14	the	the	DET
cana-3807	31	15	demands	demand	NOUN
cana-3807	31	16	of	of	ADP
cana-3807	31	17	large	large	ADJ
cana-3807	31	18	-	-	PUNCT
cana-3807	31	19	scale	scale	NOUN
cana-3807	31	20	systems	system	NOUN
cana-3807	31	21	,	,	PUNCT
cana-3807	31	22	new	new	ADJ
cana-3807	31	23	frameworks	framework	NOUN
cana-3807	31	24	and	and	CCONJ
cana-3807	31	25	techniques	technique	NOUN
cana-3807	31	26	must	must	AUX
cana-3807	31	27	be	be	AUX
cana-3807	31	28	developed	develop	VERB
cana-3807	31	29	.	.	PUNCT
cana-3807	32	1	graph	graph	NOUN
cana-3807	32	2	algorithms	algorithm	NOUN
cana-3807	32	3	are	be	AUX
cana-3807	32	4	essential	essential	ADJ
cana-3807	32	5	for	for	ADP
cana-3807	32	6	many	many	ADJ
cana-3807	32	7	computer	computer	NOUN
cana-3807	32	8	tasks	task	NOUN
cana-3807	32	9	,	,	PUNCT
cana-3807	32	10	such	such	ADJ
cana-3807	32	11	as	as	ADP
cana-3807	32	12	flow	flow	NOUN
cana-3807	32	13	optimisation	optimisation	NOUN
cana-3807	32	14	,	,	PUNCT
cana-3807	32	15	network	network	NOUN
cana-3807	32	16	connection	connection	NOUN
cana-3807	32	17	analysis	analysis	NOUN
cana-3807	32	18	,	,	PUNCT
cana-3807	32	19	and	and	CCONJ
cana-3807	32	20	shortest	short	ADJ
cana-3807	32	21	path	path	NOUN
cana-3807	32	22	computations	computation	NOUN
cana-3807	32	23	.	.	PUNCT
cana-3807	33	1	although	although	SCONJ
cana-3807	33	2	these	these	DET
cana-3807	33	3	techniques	technique	NOUN
cana-3807	33	4	are	be	AUX
cana-3807	33	5	theoretically	theoretically	ADV
cana-3807	33	6	well	well	ADV
cana-3807	33	7	-	-	PUNCT
cana-3807	33	8	established	establish	VERB
cana-3807	33	9	,	,	PUNCT
cana-3807	33	10	the	the	DET
cana-3807	33	11	higher	high	ADJ
cana-3807	33	12	processing	processing	NOUN
cana-3807	33	13	demands	demand	NOUN
cana-3807	33	14	in	in	ADP
cana-3807	33	15	large	large	ADJ
cana-3807	33	16	-	-	PUNCT
cana-3807	33	17	scale	scale	NOUN
cana-3807	33	18	networks	network	NOUN
cana-3807	33	19	tend	tend	VERB
cana-3807	33	20	to	to	PART
cana-3807	33	21	decrease	decrease	VERB
cana-3807	33	22	their	their	PRON
cana-3807	33	23	performance	performance	NOUN
cana-3807	33	24	.	.	PUNCT
cana-3807	34	1	high	high	ADJ
cana-3807	34	2	memory	memory	NOUN
cana-3807	34	3	usage	usage	NOUN
cana-3807	34	4	,	,	PUNCT
cana-3807	34	5	lengthy	lengthy	ADJ
cana-3807	34	6	processing	processing	NOUN
cana-3807	34	7	times	time	NOUN
cana-3807	34	8	,	,	PUNCT
cana-3807	34	9	and	and	CCONJ
cana-3807	34	10	an	an	DET
cana-3807	34	11	inability	inability	NOUN
cana-3807	34	12	to	to	PART
cana-3807	34	13	adjust	adjust	VERB
cana-3807	34	14	to	to	ADP
cana-3807	34	15	the	the	DET
cana-3807	34	16	structural	structural	ADJ
cana-3807	34	17	complexity	complexity	NOUN
cana-3807	34	18	present	present	ADJ
cana-3807	34	19	in	in	ADP
cana-3807	34	20	larger	large	ADJ
cana-3807	34	21	graphs	graph	NOUN
cana-3807	34	22	are	be	AUX
cana-3807	34	23	some	some	PRON
cana-3807	34	24	of	of	ADP
cana-3807	34	25	the	the	DET
cana-3807	34	26	causes	cause	NOUN
cana-3807	34	27	of	of	ADP
cana-3807	34	28	the	the	DET
cana-3807	34	29	inefficiency	inefficiency	NOUN
cana-3807	34	30	.	.	PUNCT
cana-3807	35	1	innovative	innovative	ADJ
cana-3807	35	2	strategies	strategy	NOUN
cana-3807	35	3	that	that	PRON
cana-3807	35	4	integrate	integrate	VERB
cana-3807	35	5	sophisticated	sophisticated	ADJ
cana-3807	35	6	mathematical	mathematical	ADJ
cana-3807	35	7	modelling	modelling	NOUN
cana-3807	35	8	,	,	PUNCT
cana-3807	35	9	heuristic	heuristic	ADJ
cana-3807	35	10	techniques	technique	NOUN
cana-3807	35	11	,	,	PUNCT
cana-3807	35	12	and	and	CCONJ
cana-3807	35	13	computational	computational	ADJ
cana-3807	35	14	efficiency	efficiency	NOUN
cana-3807	35	15	are	be	AUX
cana-3807	35	16	needed	need	VERB
cana-3807	35	17	to	to	PART
cana-3807	35	18	overcome	overcome	VERB
cana-3807	35	19	these	these	DET
cana-3807	35	20	constraints	constraint	NOUN
cana-3807	35	21	.	.	PUNCT
cana-3807	36	1	fig	fig	NOUN
cana-3807	36	2	.	.	PUNCT
cana-3807	37	1	1	1	NUM
cana-3807	37	2	:	:	PUNCT
cana-3807	37	3	enhancing	enhance	VERB
cana-3807	37	4	graph	graph	NOUN
cana-3807	37	5	algorithms	algorithm	NOUN
cana-3807	37	6	in	in	ADP
cana-3807	37	7	order	order	NOUN
cana-3807	37	8	to	to	PART
cana-3807	37	9	optimise	optimise	VERB
cana-3807	37	10	graph	graph	NOUN
cana-3807	37	11	algorithms	algorithm	NOUN
cana-3807	37	12	for	for	ADP
cana-3807	37	13	large	large	ADJ
cana-3807	37	14	-	-	PUNCT
cana-3807	37	15	scale	scale	NOUN
cana-3807	37	16	networks	network	NOUN
cana-3807	37	17	,	,	PUNCT
cana-3807	37	18	this	this	DET
cana-3807	37	19	study	study	NOUN
cana-3807	37	20	suggests	suggest	VERB
cana-3807	37	21	a	a	DET
cana-3807	37	22	mathematical	mathematical	ADJ
cana-3807	37	23	framework	framework	NOUN
cana-3807	37	24	.	.	PUNCT
cana-3807	38	1	the	the	DET
cana-3807	38	2	system	system	NOUN
cana-3807	38	3	splits	split	VERB
cana-3807	38	4	big	big	ADJ
cana-3807	38	5	networks	network	NOUN
cana-3807	38	6	into	into	ADP
cana-3807	38	7	smaller	small	ADJ
cana-3807	38	8	,	,	PUNCT
cana-3807	38	9	easier	easy	ADJ
cana-3807	38	10	-	-	PUNCT
cana-3807	38	11	to	to	PART
cana-3807	38	12	-	-	PUNCT
cana-3807	38	13	manage	manage	VERB
cana-3807	38	14	subgraphs	subgraph	NOUN
cana-3807	38	15	by	by	ADP
cana-3807	38	16	using	use	VERB
cana-3807	38	17	graph	graph	NOUN
cana-3807	38	18	partitioning	partitioning	ADJ
cana-3807	38	19	algorithms	algorithm	NOUN
cana-3807	38	20	.	.	PUNCT
cana-3807	39	1	this	this	DET
cana-3807	39	2	division	division	NOUN
cana-3807	39	3	greatly	greatly	ADV
cana-3807	39	4	improves	improve	VERB
cana-3807	39	5	scalability	scalability	NOUN
cana-3807	39	6	by	by	ADP
cana-3807	39	7	enabling	enable	VERB
cana-3807	39	8	parallel	parallel	ADJ
cana-3807	39	9	processing	processing	NOUN
cana-3807	39	10	and	and	CCONJ
cana-3807	39	11	lowering	lower	VERB
cana-3807	39	12	the	the	DET
cana-3807	39	13	computational	computational	ADJ
cana-3807	39	14	complexity	complexity	NOUN
cana-3807	39	15	of	of	ADP
cana-3807	39	16	the	the	DET
cana-3807	39	17	algorithms	algorithm	NOUN
cana-3807	39	18	.	.	PUNCT
cana-3807	40	1	in	in	ADP
cana-3807	40	2	order	order	NOUN
cana-3807	40	3	to	to	PART
cana-3807	40	4	balance	balance	VERB
cana-3807	40	5	accuracy	accuracy	NOUN
cana-3807	40	6	and	and	CCONJ
cana-3807	40	7	efficiency	efficiency	NOUN
cana-3807	40	8	,	,	PUNCT
cana-3807	40	9	heuristic	heuristic	ADJ
cana-3807	40	10	approaches	approach	NOUN
cana-3807	40	11	are	be	AUX
cana-3807	40	12	also	also	ADV
cana-3807	40	13	used	use	VERB
cana-3807	40	14	to	to	PART
cana-3807	40	15	estimate	estimate	VERB
cana-3807	40	16	answers	answer	NOUN
cana-3807	40	17	for	for	ADP
cana-3807	40	18	issues	issue	NOUN
cana-3807	40	19	that	that	PRON
cana-3807	40	20	are	be	AUX
cana-3807	40	21	computationally	computationally	ADV
cana-3807	40	22	impossible	impossible	ADJ
cana-3807	40	23	to	to	PART
cana-3807	40	24	address	address	VERB
cana-3807	40	25	precisely	precisely	ADV
cana-3807	40	26	.	.	PUNCT
cana-3807	41	1	the	the	DET
cana-3807	41	2	framework	framework	NOUN
cana-3807	41	3	is	be	AUX
cana-3807	41	4	further	far	ADV
cana-3807	41	5	strengthened	strengthen	VERB
cana-3807	41	6	by	by	ADP
cana-3807	41	7	parallel	parallel	ADJ
cana-3807	41	8	computing	computing	NOUN
cana-3807	41	9	techniques	technique	NOUN
cana-3807	41	10	,	,	PUNCT
cana-3807	41	11	which	which	PRON
cana-3807	41	12	enable	enable	VERB
cana-3807	41	13	several	several	ADJ
cana-3807	41	14	processors	processor	NOUN
cana-3807	41	15	to	to	PART
cana-3807	41	16	work	work	VERB
cana-3807	41	17	together	together	ADV
cana-3807	41	18	to	to	PART
cana-3807	41	19	solve	solve	VERB
cana-3807	41	20	graph	graph	NOUN
cana-3807	41	21	issues	issue	NOUN
cana-3807	41	22	at	at	ADP
cana-3807	41	23	the	the	DET
cana-3807	41	24	same	same	ADJ
cana-3807	41	25	time	time	NOUN
cana-3807	41	26	,	,	PUNCT
cana-3807	41	27	cutting	cut	VERB
cana-3807	41	28	down	down	ADP
cana-3807	41	29	on	on	ADP
cana-3807	41	30	execution	execution	NOUN
cana-3807	41	31	time	time	NOUN
cana-3807	41	32	.	.	PUNCT
cana-3807	42	1	this	this	DET
cana-3807	42	2	framework	framework	NOUN
cana-3807	42	3	's	's	PART
cana-3807	42	4	ability	ability	NOUN
cana-3807	42	5	to	to	PART
cana-3807	42	6	combine	combine	VERB
cana-3807	42	7	theoretical	theoretical	ADJ
cana-3807	42	8	analysis	analysis	NOUN
cana-3807	42	9	with	with	ADP
cana-3807	42	10	empirical	empirical	ADJ
cana-3807	42	11	validation	validation	NOUN
cana-3807	42	12	is	be	AUX
cana-3807	42	13	one	one	NUM
cana-3807	42	14	of	of	ADP
cana-3807	42	15	its	its	PRON
cana-3807	42	16	unique	unique	ADJ
cana-3807	42	17	characteristics	characteristic	NOUN
cana-3807	42	18	.	.	PUNCT
cana-3807	43	1	to	to	PART
cana-3807	43	2	ensure	ensure	VERB
cana-3807	43	3	resilience	resilience	NOUN
cana-3807	43	4	and	and	CCONJ
cana-3807	43	5	dependability	dependability	NOUN
cana-3807	43	6	,	,	PUNCT
cana-3807	43	7	the	the	DET
cana-3807	43	8	framework	framework	NOUN
cana-3807	43	9	grounds	ground	VERB
cana-3807	43	10	the	the	DET
cana-3807	43	11	suggested	suggest	VERB
cana-3807	43	12	optimisation	optimisation	NOUN
cana-3807	43	13	strategies	strategy	NOUN
cana-3807	43	14	in	in	ADP
cana-3807	43	15	strong	strong	ADJ
cana-3807	43	16	mathematical	mathematical	ADJ
cana-3807	43	17	concepts	concept	NOUN
cana-3807	43	18	.	.	PUNCT
cana-3807	44	1	conversely	conversely	ADV
cana-3807	44	2	,	,	PUNCT
cana-3807	44	3	empirical	empirical	ADJ
cana-3807	44	4	testing	testing	NOUN
cana-3807	44	5	offers	offer	VERB
cana-3807	44	6	useful	useful	ADJ
cana-3807	44	7	information	information	NOUN
cana-3807	44	8	on	on	ADP
cana-3807	44	9	the	the	DET
cana-3807	44	10	performance	performance	NOUN
cana-3807	44	11	improvements	improvement	VERB
cana-3807	44	12	the	the	DET
cana-3807	44	13	framework	framework	NOUN
cana-3807	44	14	achieves	achieve	VERB
cana-3807	44	15	in	in	ADP
cana-3807	44	16	real	real	ADJ
cana-3807	44	17	-	-	PUNCT
cana-3807	44	18	world	world	NOUN
cana-3807	44	19	situations	situation	NOUN
cana-3807	44	20	.	.	PUNCT
cana-3807	45	1	this	this	DET
cana-3807	45	2	dual	dual	ADJ
cana-3807	45	3	approach	approach	NOUN
cana-3807	45	4	emphasises	emphasise	VERB
cana-3807	45	5	the	the	DET
cana-3807	45	6	research	research	NOUN
cana-3807	45	7	's	's	PART
cana-3807	45	8	theoretical	theoretical	ADJ
cana-3807	45	9	merits	merit	NOUN
cana-3807	45	10	as	as	ADV
cana-3807	45	11	well	well	ADV
cana-3807	45	12	as	as	ADP
cana-3807	45	13	its	its	PRON
cana-3807	45	14	applicability	applicability	NOUN
cana-3807	45	15	in	in	ADP
cana-3807	45	16	a	a	DET
cana-3807	45	17	variety	variety	NOUN
cana-3807	45	18	of	of	ADP
cana-3807	45	19	fields	field	NOUN
cana-3807	45	20	.	.	PUNCT
cana-3807	46	1	this	this	DET
cana-3807	46	2	research	research	NOUN
cana-3807	46	3	has	have	VERB
cana-3807	46	4	many	many	ADJ
cana-3807	46	5	different	different	ADJ
cana-3807	46	6	and	and	CCONJ
cana-3807	46	7	wide	wide	ADV
cana-3807	46	8	-	-	PUNCT
cana-3807	46	9	ranging	range	VERB
cana-3807	46	10	uses	use	NOUN
cana-3807	46	11	.	.	PUNCT
cana-3807	47	1	optimised	optimise	VERB
cana-3807	47	2	graph	graph	NOUN
cana-3807	47	3	algorithms	algorithm	NOUN
cana-3807	47	4	in	in	ADP
cana-3807	47	5	telecommunications	telecommunication	NOUN
cana-3807	47	6	can	can	AUX
cana-3807	47	7	enhance	enhance	VERB
cana-3807	47	8	resource	resource	NOUN
cana-3807	47	9	allocation	allocation	NOUN
cana-3807	47	10	and	and	CCONJ
cana-3807	47	11	network	network	NOUN
cana-3807	47	12	routing	routing	NOUN
cana-3807	47	13	,	,	PUNCT
cana-3807	47	14	resulting	result	VERB
cana-3807	47	15	in	in	ADP
cana-3807	47	16	more	more	ADV
cana-3807	47	17	effective	effective	ADJ
cana-3807	47	18	communication	communication	NOUN
cana-3807	47	19	systems	system	NOUN
cana-3807	47	20	.	.	PUNCT
cana-3807	48	1	faster	fast	ADV
cana-3807	48	2	and	and	CCONJ
cana-3807	48	3	communications	communication	NOUN
cana-3807	48	4	on	on	ADP
cana-3807	48	5	applied	apply	VERB
cana-3807	48	6	nonlinear	nonlinear	ADJ
cana-3807	48	7	analysis	analysis	NOUN
cana-3807	48	8	issn	issn	NOUN
cana-3807	48	9	:	:	PUNCT
cana-3807	48	10	1074	1074	NUM
cana-3807	48	11	-	-	PUNCT
cana-3807	48	12	133x	133x	NUM
cana-3807	48	13	vol	vol	NOUN
cana-3807	48	14	32	32	NUM
cana-3807	48	15	no	no	NOUN
cana-3807	48	16	.	.	PUNCT
cana-3807	49	1	8s	8s	PROPN
cana-3807	49	2	(	(	PUNCT
cana-3807	49	3	2025	2025	NUM
cana-3807	49	4	)	)	PUNCT
cana-3807	49	5	765	765	NUM
cana-3807	49	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3807	49	7	more	more	ADV
cana-3807	49	8	precise	precise	ADJ
cana-3807	49	9	identification	identification	NOUN
cana-3807	49	10	of	of	ADP
cana-3807	49	11	community	community	NOUN
cana-3807	49	12	structures	structure	NOUN
cana-3807	49	13	and	and	CCONJ
cana-3807	49	14	influence	influence	NOUN
cana-3807	49	15	propagation	propagation	NOUN
cana-3807	49	16	can	can	AUX
cana-3807	49	17	be	be	AUX
cana-3807	49	18	advantageous	advantageous	ADJ
cana-3807	49	19	for	for	ADP
cana-3807	49	20	social	social	ADJ
cana-3807	49	21	network	network	NOUN
cana-3807	49	22	analysis	analysis	NOUN
cana-3807	49	23	.	.	PUNCT
cana-3807	50	1	the	the	DET
cana-3807	50	2	approach	approach	NOUN
cana-3807	50	3	can	can	AUX
cana-3807	50	4	help	help	VERB
cana-3807	50	5	progress	progress	VERB
cana-3807	50	6	systems	system	NOUN
cana-3807	50	7	biology	biology	NOUN
cana-3807	50	8	by	by	ADP
cana-3807	50	9	making	make	VERB
cana-3807	50	10	it	it	PRON
cana-3807	50	11	easier	easy	ADJ
cana-3807	50	12	to	to	PART
cana-3807	50	13	explore	explore	VERB
cana-3807	50	14	intricate	intricate	ADJ
cana-3807	50	15	connections	connection	NOUN
cana-3807	50	16	within	within	ADP
cana-3807	50	17	cellular	cellular	ADJ
cana-3807	50	18	networks	network	NOUN
cana-3807	50	19	in	in	ADP
cana-3807	50	20	biological	biological	ADJ
cana-3807	50	21	systems	system	NOUN
cana-3807	50	22	.	.	PUNCT
cana-3807	51	1	additionally	additionally	ADV
cana-3807	51	2	,	,	PUNCT
cana-3807	51	3	the	the	DET
cana-3807	51	4	framework	framework	NOUN
cana-3807	51	5	's	's	PART
cana-3807	51	6	capacity	capacity	NOUN
cana-3807	51	7	to	to	PART
cana-3807	51	8	manage	manage	VERB
cana-3807	51	9	massive	massive	ADJ
cana-3807	51	10	data	data	NOUN
cana-3807	51	11	sets	set	NOUN
cana-3807	51	12	is	be	AUX
cana-3807	51	13	consistent	consistent	ADJ
cana-3807	51	14	with	with	ADP
cana-3807	51	15	the	the	DET
cana-3807	51	16	growing	grow	VERB
cana-3807	51	17	popularity	popularity	NOUN
cana-3807	51	18	of	of	ADP
cana-3807	51	19	big	big	ADJ
cana-3807	51	20	data	datum	NOUN
cana-3807	51	21	analytics	analytic	NOUN
cana-3807	51	22	,	,	PUNCT
cana-3807	51	23	which	which	PRON
cana-3807	51	24	emphasises	emphasise	VERB
cana-3807	51	25	the	the	DET
cana-3807	51	26	importance	importance	NOUN
cana-3807	51	27	of	of	ADP
cana-3807	51	28	gleaning	glean	VERB
cana-3807	51	29	valuable	valuable	ADJ
cana-3807	51	30	insights	insight	NOUN
cana-3807	51	31	from	from	ADP
cana-3807	51	32	enormous	enormous	ADJ
cana-3807	51	33	datasets	dataset	NOUN
cana-3807	51	34	.	.	PUNCT
cana-3807	52	1	fig	fig	NOUN
cana-3807	52	2	.	.	PUNCT
cana-3807	53	1	2	2	NUM
cana-3807	53	2	:	:	PUNCT
cana-3807	53	3	optimization	optimization	NOUN
cana-3807	53	4	techniques	technique	NOUN
cana-3807	53	5	this	this	DET
cana-3807	53	6	research	research	NOUN
cana-3807	53	7	attempts	attempt	VERB
cana-3807	53	8	to	to	PART
cana-3807	53	9	close	close	VERB
cana-3807	53	10	the	the	DET
cana-3807	53	11	gap	gap	NOUN
cana-3807	53	12	between	between	ADP
cana-3807	53	13	theoretical	theoretical	ADJ
cana-3807	53	14	developments	development	NOUN
cana-3807	53	15	in	in	ADP
cana-3807	53	16	graph	graph	NOUN
cana-3807	53	17	optimisation	optimisation	NOUN
cana-3807	53	18	and	and	CCONJ
cana-3807	53	19	their	their	PRON
cana-3807	53	20	realworld	realworld	PROPN
cana-3807	53	21	implementations	implementation	NOUN
cana-3807	53	22	by	by	ADP
cana-3807	53	23	tackling	tackle	VERB
cana-3807	53	24	the	the	DET
cana-3807	53	25	difficulties	difficulty	NOUN
cana-3807	53	26	presented	present	VERB
cana-3807	53	27	by	by	ADP
cana-3807	53	28	large	large	ADJ
cana-3807	53	29	-	-	PUNCT
cana-3807	53	30	scale	scale	NOUN
cana-3807	53	31	networks	network	NOUN
cana-3807	53	32	.	.	PUNCT
cana-3807	54	1	the	the	DET
cana-3807	54	2	suggested	suggest	VERB
cana-3807	54	3	mathematical	mathematical	ADJ
cana-3807	54	4	framework	framework	NOUN
cana-3807	54	5	encourages	encourage	VERB
cana-3807	54	6	the	the	DET
cana-3807	54	7	investigation	investigation	NOUN
cana-3807	54	8	of	of	ADP
cana-3807	54	9	new	new	ADJ
cana-3807	54	10	optimisation	optimisation	NOUN
cana-3807	54	11	methods	method	NOUN
cana-3807	54	12	and	and	CCONJ
cana-3807	54	13	their	their	PRON
cana-3807	54	14	application	application	NOUN
cana-3807	54	15	in	in	ADP
cana-3807	54	16	a	a	DET
cana-3807	54	17	variety	variety	NOUN
cana-3807	54	18	of	of	ADP
cana-3807	54	19	domains	domain	NOUN
cana-3807	54	20	,	,	PUNCT
cana-3807	54	21	acting	act	VERB
cana-3807	54	22	as	as	ADP
cana-3807	54	23	a	a	DET
cana-3807	54	24	springboard	springboard	NOUN
cana-3807	54	25	for	for	ADP
cana-3807	54	26	further	further	ADJ
cana-3807	54	27	study	study	NOUN
cana-3807	54	28	.	.	PUNCT
cana-3807	55	1	the	the	DET
cana-3807	55	2	ultimate	ultimate	ADJ
cana-3807	55	3	goal	goal	NOUN
cana-3807	55	4	of	of	ADP
cana-3807	55	5	this	this	DET
cana-3807	55	6	research	research	NOUN
cana-3807	55	7	is	be	AUX
cana-3807	55	8	to	to	PART
cana-3807	55	9	push	push	VERB
cana-3807	55	10	the	the	DET
cana-3807	55	11	limits	limit	NOUN
cana-3807	55	12	of	of	ADP
cana-3807	55	13	network	network	NOUN
cana-3807	55	14	optimisation	optimisation	NOUN
cana-3807	55	15	and	and	CCONJ
cana-3807	55	16	graph	graph	NOUN
cana-3807	55	17	theory	theory	NOUN
cana-3807	55	18	in	in	ADP
cana-3807	55	19	order	order	NOUN
cana-3807	55	20	to	to	PART
cana-3807	55	21	facilitate	facilitate	VERB
cana-3807	55	22	the	the	DET
cana-3807	55	23	effective	effective	ADJ
cana-3807	55	24	administration	administration	NOUN
cana-3807	55	25	and	and	CCONJ
cana-3807	55	26	examination	examination	NOUN
cana-3807	55	27	of	of	ADP
cana-3807	55	28	complex	complex	ADJ
cana-3807	55	29	systems	system	NOUN
cana-3807	55	30	in	in	ADP
cana-3807	55	31	a	a	DET
cana-3807	55	32	world	world	NOUN
cana-3807	55	33	that	that	PRON
cana-3807	55	34	is	be	AUX
cana-3807	55	35	becoming	become	VERB
cana-3807	55	36	more	more	ADV
cana-3807	55	37	and	and	CCONJ
cana-3807	55	38	more	more	ADJ
cana-3807	55	39	data	data	NOUN
cana-3807	55	40	-	-	PUNCT
cana-3807	55	41	driven	drive	VERB
cana-3807	55	42	.	.	PUNCT
cana-3807	56	1	ii	ii	PROPN
cana-3807	56	2	.	.	PUNCT
cana-3807	57	1	literature	literature	PROPN
cana-3807	57	2	review	review	PROPN
cana-3807	58	1	[	[	X
cana-3807	58	2	1	1	X
cana-3807	58	3	]	]	X
cana-3807	58	4	zhang	zhang	PROPN
cana-3807	58	5	et	et	PROPN
cana-3807	58	6	al	al	PROPN
cana-3807	58	7	.	.	PROPN
cana-3807	59	1	(	(	PUNCT
cana-3807	59	2	2020	2020	NUM
cana-3807	59	3	)	)	PUNCT
cana-3807	59	4	investigated	investigate	VERB
cana-3807	59	5	the	the	DET
cana-3807	59	6	use	use	NOUN
cana-3807	59	7	of	of	ADP
cana-3807	59	8	parallel	parallel	ADJ
cana-3807	59	9	computing	computing	NOUN
cana-3807	59	10	and	and	CCONJ
cana-3807	59	11	graph	graph	NOUN
cana-3807	59	12	partitioning	partition	VERB
cana-3807	59	13	approaches	approach	NOUN
cana-3807	59	14	to	to	PART
cana-3807	59	15	optimize	optimize	VERB
cana-3807	59	16	shortest	short	ADJ
cana-3807	59	17	path	path	NOUN
cana-3807	59	18	algorithms	algorithm	NOUN
cana-3807	59	19	in	in	ADP
cana-3807	59	20	large	large	ADJ
cana-3807	59	21	-	-	PUNCT
cana-3807	59	22	scale	scale	NOUN
cana-3807	59	23	networks	network	NOUN
cana-3807	59	24	.	.	PUNCT
cana-3807	60	1	in	in	ADP
cana-3807	60	2	order	order	NOUN
cana-3807	60	3	to	to	PART
cana-3807	60	4	reduce	reduce	VERB
cana-3807	60	5	computing	compute	VERB
cana-3807	60	6	overhead	overhead	NOUN
cana-3807	60	7	,	,	PUNCT
cana-3807	60	8	their	their	PRON
cana-3807	60	9	study	study	NOUN
cana-3807	60	10	proposed	propose	VERB
cana-3807	60	11	a	a	DET
cana-3807	60	12	hybrid	hybrid	ADJ
cana-3807	60	13	strategy	strategy	NOUN
cana-3807	60	14	that	that	PRON
cana-3807	60	15	combines	combine	VERB
cana-3807	60	16	partitioned	partition	VERB
cana-3807	60	17	subgraphs	subgraph	NOUN
cana-3807	60	18	and	and	CCONJ
cana-3807	60	19	dijkstra	dijkstra	PROPN
cana-3807	60	20	's	's	PART
cana-3807	60	21	algorithm	algorithm	NOUN
cana-3807	60	22	.	.	PUNCT
cana-3807	61	1	the	the	DET
cana-3807	61	2	authors	author	NOUN
cana-3807	61	3	showed	show	VERB
cana-3807	61	4	that	that	SCONJ
cana-3807	61	5	considerable	considerable	ADJ
cana-3807	61	6	reductions	reduction	NOUN
cana-3807	61	7	in	in	ADP
cana-3807	61	8	processing	processing	NOUN
cana-3807	61	9	time	time	NOUN
cana-3807	61	10	and	and	CCONJ
cana-3807	61	11	memory	memory	NOUN
cana-3807	61	12	usage	usage	NOUN
cana-3807	61	13	might	might	AUX
cana-3807	61	14	be	be	AUX
cana-3807	61	15	accomplished	accomplish	VERB
cana-3807	61	16	by	by	ADP
cana-3807	61	17	breaking	break	VERB
cana-3807	61	18	up	up	ADP
cana-3807	61	19	big	big	ADJ
cana-3807	61	20	graphs	graph	NOUN
cana-3807	61	21	into	into	ADP
cana-3807	61	22	smaller	small	ADJ
cana-3807	61	23	subgraphs	subgraph	NOUN
cana-3807	61	24	.	.	PUNCT
cana-3807	62	1	their	their	PRON
cana-3807	62	2	trials	trial	NOUN
cana-3807	62	3	on	on	ADP
cana-3807	62	4	extensive	extensive	ADJ
cana-3807	62	5	communication	communication	NOUN
cana-3807	62	6	and	and	CCONJ
cana-3807	62	7	transportation	transportation	NOUN
cana-3807	62	8	networks	network	NOUN
cana-3807	62	9	demonstrated	demonstrate	VERB
cana-3807	62	10	that	that	SCONJ
cana-3807	62	11	the	the	DET
cana-3807	62	12	partitioned	partition	VERB
cana-3807	62	13	technique	technique	NOUN
cana-3807	62	14	performed	perform	VERB
cana-3807	62	15	better	well	ADV
cana-3807	62	16	than	than	ADP
cana-3807	62	17	conventional	conventional	ADJ
cana-3807	62	18	algorithms	algorithm	NOUN
cana-3807	62	19	in	in	ADP
cana-3807	62	20	terms	term	NOUN
cana-3807	62	21	of	of	ADP
cana-3807	62	22	scalability	scalability	NOUN
cana-3807	62	23	and	and	CCONJ
cana-3807	62	24	efficiency	efficiency	NOUN
cana-3807	62	25	.	.	PUNCT
cana-3807	63	1	the	the	DET
cana-3807	63	2	research	research	NOUN
cana-3807	63	3	laid	lay	VERB
cana-3807	63	4	the	the	DET
cana-3807	63	5	groundwork	groundwork	NOUN
cana-3807	63	6	for	for	ADP
cana-3807	63	7	applying	apply	VERB
cana-3807	63	8	graph	graph	NOUN
cana-3807	63	9	algorithms	algorithm	NOUN
cana-3807	63	10	to	to	ADP
cana-3807	63	11	large	large	ADJ
cana-3807	63	12	-	-	PUNCT
cana-3807	63	13	scale	scale	NOUN
cana-3807	63	14	real	real	ADJ
cana-3807	63	15	-	-	PUNCT
cana-3807	63	16	world	world	NOUN
cana-3807	63	17	systems	system	NOUN
cana-3807	63	18	.	.	PUNCT
cana-3807	64	1	[	[	X
cana-3807	64	2	2	2	X
cana-3807	64	3	]	]	PUNCT
cana-3807	64	4	for	for	ADP
cana-3807	64	5	large	large	ADJ
cana-3807	64	6	-	-	PUNCT
cana-3807	64	7	scale	scale	NOUN
cana-3807	64	8	social	social	ADJ
cana-3807	64	9	networks	network	NOUN
cana-3807	64	10	,	,	PUNCT
cana-3807	64	11	kumar	kumar	PROPN
cana-3807	64	12	et	et	PROPN
cana-3807	64	13	al	al	PROPN
cana-3807	64	14	.	.	PROPN
cana-3807	64	15	(	(	PUNCT
cana-3807	64	16	2021	2021	NUM
cana-3807	64	17	)	)	PUNCT
cana-3807	64	18	suggested	suggest	VERB
cana-3807	64	19	an	an	DET
cana-3807	64	20	improved	improved	ADJ
cana-3807	64	21	graph	graph	NOUN
cana-3807	64	22	traversal	traversal	NOUN
cana-3807	64	23	technique	technique	NOUN
cana-3807	64	24	with	with	ADP
cana-3807	64	25	an	an	DET
cana-3807	64	26	emphasis	emphasis	NOUN
cana-3807	64	27	on	on	ADP
cana-3807	64	28	community	community	NOUN
cana-3807	64	29	detection	detection	NOUN
cana-3807	64	30	and	and	CCONJ
cana-3807	64	31	effective	effective	ADJ
cana-3807	64	32	connectivity	connectivity	NOUN
cana-3807	64	33	.	.	PUNCT
cana-3807	65	1	to	to	PART
cana-3807	65	2	estimate	estimate	VERB
cana-3807	65	3	answers	answer	NOUN
cana-3807	65	4	for	for	ADP
cana-3807	65	5	computationally	computationally	ADV
cana-3807	65	6	costly	costly	ADJ
cana-3807	65	7	tasks	task	NOUN
cana-3807	65	8	,	,	PUNCT
cana-3807	65	9	such	such	ADJ
cana-3807	65	10	identifying	identify	VERB
cana-3807	65	11	strongly	strongly	ADV
cana-3807	65	12	related	relate	VERB
cana-3807	65	13	subgroups	subgroup	NOUN
cana-3807	65	14	in	in	ADP
cana-3807	65	15	large	large	ADJ
cana-3807	65	16	datasets	dataset	NOUN
cana-3807	65	17	,	,	PUNCT
cana-3807	65	18	the	the	DET
cana-3807	65	19	study	study	NOUN
cana-3807	65	20	used	use	VERB
cana-3807	65	21	heuristic	heuristic	ADJ
cana-3807	65	22	approaches	approach	NOUN
cana-3807	65	23	.	.	PUNCT
cana-3807	66	1	the	the	DET
cana-3807	66	2	algorithm	algorithm	NOUN
cana-3807	66	3	improved	improve	VERB
cana-3807	66	4	scalability	scalability	NOUN
cana-3807	66	5	in	in	ADP
cana-3807	66	6	dense	dense	ADJ
cana-3807	66	7	networks	network	NOUN
cana-3807	66	8	by	by	ADP
cana-3807	66	9	eliminating	eliminate	VERB
cana-3807	66	10	pointless	pointless	ADJ
cana-3807	66	11	computations	computation	NOUN
cana-3807	66	12	with	with	ADP
cana-3807	66	13	the	the	DET
cana-3807	66	14	use	use	NOUN
cana-3807	66	15	of	of	ADP
cana-3807	66	16	a	a	DET
cana-3807	66	17	dynamic	dynamic	ADJ
cana-3807	66	18	pruning	pruning	NOUN
cana-3807	66	19	technique	technique	NOUN
cana-3807	66	20	.	.	PUNCT
cana-3807	67	1	significant	significant	ADJ
cana-3807	67	2	execution	execution	NOUN
cana-3807	67	3	time	time	NOUN
cana-3807	67	4	reductions	reduction	NOUN
cana-3807	67	5	were	be	AUX
cana-3807	67	6	seen	see	VERB
cana-3807	67	7	by	by	ADP
cana-3807	67	8	the	the	DET
cana-3807	67	9	authors	author	NOUN
cana-3807	67	10	when	when	SCONJ
cana-3807	67	11	they	they	PRON
cana-3807	67	12	used	use	VERB
cana-3807	67	13	datasets	dataset	NOUN
cana-3807	67	14	from	from	ADP
cana-3807	67	15	well	well	ADV
cana-3807	67	16	-	-	PUNCT
cana-3807	67	17	known	know	VERB
cana-3807	67	18	social	social	ADJ
cana-3807	67	19	media	medium	NOUN
cana-3807	67	20	networks	network	NOUN
cana-3807	67	21	to	to	PART
cana-3807	67	22	validate	validate	VERB
cana-3807	67	23	their	their	PRON
cana-3807	67	24	model	model	NOUN
cana-3807	67	25	.	.	PUNCT
cana-3807	68	1	heuristic	heuristic	ADJ
cana-3807	68	2	optimization	optimization	NOUN
cana-3807	68	3	's	's	PART
cana-3807	68	4	significance	significance	NOUN
cana-3807	68	5	in	in	ADP
cana-3807	68	6	large	large	ADJ
cana-3807	68	7	-	-	PUNCT
cana-3807	68	8	scale	scale	NOUN
cana-3807	68	9	graph	graph	NOUN
cana-3807	68	10	analytics	analytic	NOUN
cana-3807	68	11	was	be	AUX
cana-3807	68	12	underlined	underline	VERB
cana-3807	68	13	by	by	ADP
cana-3807	68	14	the	the	DET
cana-3807	68	15	study	study	NOUN
cana-3807	68	16	.	.	PUNCT
cana-3807	69	1	[	[	X
cana-3807	69	2	3	3	NUM
cana-3807	69	3	]	]	X
cana-3807	69	4	graph	graph	NOUN
cana-3807	69	5	partitioning	partitioning	NOUN
cana-3807	69	6	techniques	technique	NOUN
cana-3807	69	7	were	be	AUX
cana-3807	69	8	examined	examine	VERB
cana-3807	69	9	by	by	ADP
cana-3807	69	10	li	li	PROPN
cana-3807	69	11	et	et	PROPN
cana-3807	69	12	al	al	PROPN
cana-3807	69	13	.	.	PROPN
cana-3807	70	1	(	(	PUNCT
cana-3807	70	2	2019	2019	NUM
cana-3807	70	3	)	)	PUNCT
cana-3807	70	4	in	in	ADP
cana-3807	70	5	order	order	NOUN
cana-3807	70	6	to	to	PART
cana-3807	70	7	optimize	optimize	VERB
cana-3807	70	8	large	large	ADJ
cana-3807	70	9	-	-	PUNCT
cana-3807	70	10	scale	scale	NOUN
cana-3807	70	11	network	network	NOUN
cana-3807	70	12	flow	flow	NOUN
cana-3807	70	13	algorithms	algorithm	NOUN
cana-3807	70	14	.	.	PUNCT
cana-3807	71	1	in	in	ADP
cana-3807	71	2	order	order	NOUN
cana-3807	71	3	to	to	PART
cana-3807	71	4	lessen	lessen	VERB
cana-3807	71	5	computational	computational	ADJ
cana-3807	71	6	bottlenecks	bottleneck	NOUN
cana-3807	71	7	,	,	PUNCT
cana-3807	71	8	their	their	PRON
cana-3807	71	9	study	study	NOUN
cana-3807	71	10	concentrated	concentrate	VERB
cana-3807	71	11	on	on	ADP
cana-3807	71	12	enhancing	enhance	VERB
cana-3807	71	13	the	the	DET
cana-3807	71	14	max	max	NOUN
cana-3807	71	15	-	-	PUNCT
cana-3807	71	16	flow	flow	NOUN
cana-3807	71	17	and	and	CCONJ
cana-3807	71	18	min	min	NOUN
cana-3807	71	19	-	-	ADJ
cana-3807	71	20	cut	cut	ADJ
cana-3807	71	21	algorithms	algorithm	NOUN
cana-3807	71	22	through	through	ADP
cana-3807	71	23	sophisticated	sophisticated	ADJ
cana-3807	71	24	partitioning	partitioning	ADJ
cana-3807	71	25	strategies	strategy	NOUN
cana-3807	71	26	.	.	PUNCT
cana-3807	72	1	with	with	ADP
cana-3807	72	2	order	order	NOUN
cana-3807	72	3	to	to	PART
cana-3807	72	4	solve	solve	VERB
cana-3807	72	5	network	network	NOUN
cana-3807	72	6	flow	flow	NOUN
cana-3807	72	7	difficulties	difficulty	NOUN
cana-3807	72	8	with	with	ADP
cana-3807	72	9	large	large	ADJ
cana-3807	72	10	datasets	dataset	NOUN
cana-3807	72	11	,	,	PUNCT
cana-3807	72	12	the	the	DET
cana-3807	72	13	authors	author	NOUN
cana-3807	72	14	showed	show	VERB
cana-3807	72	15	improved	improved	ADJ
cana-3807	72	16	efficiency	efficiency	NOUN
cana-3807	72	17	by	by	ADP
cana-3807	72	18	implementing	implement	VERB
cana-3807	72	19	a	a	DET
cana-3807	72	20	multi	multi	ADJ
cana-3807	72	21	-	-	ADJ
cana-3807	72	22	level	level	ADJ
cana-3807	72	23	graph	graph	NOUN
cana-3807	72	24	partitioning	partition	VERB
cana-3807	72	25	communications	communication	NOUN
cana-3807	72	26	on	on	ADP
cana-3807	72	27	applied	apply	VERB
cana-3807	72	28	nonlinear	nonlinear	ADJ
cana-3807	72	29	analysis	analysis	NOUN
cana-3807	72	30	issn	issn	NOUN
cana-3807	72	31	:	:	PUNCT
cana-3807	72	32	1074	1074	NUM
cana-3807	72	33	-	-	PUNCT
cana-3807	72	34	133x	133x	NUM
cana-3807	72	35	vol	vol	NOUN
cana-3807	72	36	32	32	NUM
cana-3807	72	37	no	no	NOUN
cana-3807	72	38	.	.	PUNCT
cana-3807	73	1	8s	8s	PROPN
cana-3807	73	2	(	(	PUNCT
cana-3807	73	3	2025	2025	NUM
cana-3807	73	4	)	)	PUNCT
cana-3807	73	5	766	766	NUM
cana-3807	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3807	73	7	technique	technique	NOUN
cana-3807	73	8	.	.	PUNCT
cana-3807	74	1	in	in	ADP
cana-3807	74	2	comparison	comparison	NOUN
cana-3807	74	3	to	to	ADP
cana-3807	74	4	conventional	conventional	ADJ
cana-3807	74	5	methods	method	NOUN
cana-3807	74	6	,	,	PUNCT
cana-3807	74	7	their	their	PRON
cana-3807	74	8	optimized	optimize	VERB
cana-3807	74	9	algorithm	algorithm	NOUN
cana-3807	74	10	demonstrated	demonstrate	VERB
cana-3807	74	11	superior	superior	ADJ
cana-3807	74	12	scalability	scalability	NOUN
cana-3807	74	13	and	and	CCONJ
cana-3807	74	14	faster	fast	ADJ
cana-3807	74	15	convergence	convergence	NOUN
cana-3807	74	16	,	,	PUNCT
cana-3807	74	17	as	as	SCONJ
cana-3807	74	18	demonstrated	demonstrate	VERB
cana-3807	74	19	by	by	ADP
cana-3807	74	20	experimental	experimental	ADJ
cana-3807	74	21	validation	validation	NOUN
cana-3807	74	22	on	on	ADP
cana-3807	74	23	biological	biological	ADJ
cana-3807	74	24	and	and	CCONJ
cana-3807	74	25	traffic	traffic	NOUN
cana-3807	74	26	networks	network	NOUN
cana-3807	74	27	.	.	PUNCT
cana-3807	75	1	the	the	DET
cana-3807	75	2	study	study	NOUN
cana-3807	75	3	emphasized	emphasize	VERB
cana-3807	75	4	the	the	DET
cana-3807	75	5	function	function	NOUN
cana-3807	75	6	of	of	ADP
cana-3807	75	7	mathematical	mathematical	ADJ
cana-3807	75	8	models	model	NOUN
cana-3807	75	9	in	in	ADP
cana-3807	75	10	optimization	optimization	NOUN
cana-3807	75	11	methods	method	NOUN
cana-3807	75	12	based	base	VERB
cana-3807	75	13	on	on	ADP
cana-3807	75	14	partitions	partition	NOUN
cana-3807	75	15	.	.	PUNCT
cana-3807	76	1	[	[	X
cana-3807	76	2	4	4	X
cana-3807	76	3	]	]	PUNCT
cana-3807	76	4	a	a	DET
cana-3807	76	5	parallel	parallel	ADJ
cana-3807	76	6	processing	processing	NOUN
cana-3807	76	7	framework	framework	NOUN
cana-3807	76	8	for	for	ADP
cana-3807	76	9	graph	graph	NOUN
cana-3807	76	10	algorithms	algorithm	NOUN
cana-3807	76	11	targeted	target	VERB
cana-3807	76	12	at	at	ADP
cana-3807	76	13	large	large	ADJ
cana-3807	76	14	-	-	PUNCT
cana-3807	76	15	scale	scale	NOUN
cana-3807	76	16	biological	biological	ADJ
cana-3807	76	17	networks	network	NOUN
cana-3807	76	18	was	be	AUX
cana-3807	76	19	introduced	introduce	VERB
cana-3807	76	20	by	by	ADP
cana-3807	76	21	chen	chen	PROPN
cana-3807	76	22	et	et	PROPN
cana-3807	76	23	al	al	PROPN
cana-3807	76	24	.	.	PROPN
cana-3807	77	1	in	in	ADP
cana-3807	77	2	2022	2022	NUM
cana-3807	77	3	.	.	PUNCT
cana-3807	78	1	their	their	PRON
cana-3807	78	2	research	research	NOUN
cana-3807	78	3	highlighted	highlight	VERB
cana-3807	78	4	how	how	SCONJ
cana-3807	78	5	crucial	crucial	ADJ
cana-3807	78	6	it	it	PRON
cana-3807	78	7	is	be	AUX
cana-3807	78	8	to	to	PART
cana-3807	78	9	use	use	VERB
cana-3807	78	10	parallel	parallel	ADJ
cana-3807	78	11	computing	computing	NOUN
cana-3807	78	12	to	to	PART
cana-3807	78	13	increase	increase	VERB
cana-3807	78	14	the	the	DET
cana-3807	78	15	effectiveness	effectiveness	NOUN
cana-3807	78	16	of	of	ADP
cana-3807	78	17	graph	graph	NOUN
cana-3807	78	18	-	-	PUNCT
cana-3807	78	19	based	base	VERB
cana-3807	78	20	disease	disease	NOUN
cana-3807	78	21	modeling	modeling	NOUN
cana-3807	78	22	.	.	PUNCT
cana-3807	79	1	to	to	PART
cana-3807	79	2	find	find	VERB
cana-3807	79	3	important	important	ADJ
cana-3807	79	4	pathways	pathway	NOUN
cana-3807	79	5	in	in	ADP
cana-3807	79	6	protein	protein	NOUN
cana-3807	79	7	interaction	interaction	NOUN
cana-3807	79	8	networks	network	NOUN
cana-3807	79	9	,	,	PUNCT
cana-3807	79	10	the	the	DET
cana-3807	79	11	authors	author	NOUN
cana-3807	79	12	optimized	optimize	VERB
cana-3807	79	13	graph	graph	NOUN
cana-3807	79	14	traversal	traversal	NOUN
cana-3807	79	15	algorithms	algorithm	NOUN
cana-3807	79	16	using	use	VERB
cana-3807	79	17	distributed	distribute	VERB
cana-3807	79	18	computing	computing	NOUN
cana-3807	79	19	environments	environment	NOUN
cana-3807	79	20	.	.	PUNCT
cana-3807	80	1	when	when	SCONJ
cana-3807	80	2	compared	compare	VERB
cana-3807	80	3	to	to	ADP
cana-3807	80	4	sequential	sequential	ADJ
cana-3807	80	5	techniques	technique	NOUN
cana-3807	80	6	,	,	PUNCT
cana-3807	80	7	the	the	DET
cana-3807	80	8	results	result	NOUN
cana-3807	80	9	showed	show	VERB
cana-3807	80	10	significant	significant	ADJ
cana-3807	80	11	performance	performance	NOUN
cana-3807	80	12	gains	gain	NOUN
cana-3807	80	13	.	.	PUNCT
cana-3807	81	1	this	this	DET
cana-3807	81	2	study	study	NOUN
cana-3807	81	3	demonstrated	demonstrate	VERB
cana-3807	81	4	how	how	SCONJ
cana-3807	81	5	parallel	parallel	ADJ
cana-3807	81	6	computing	computing	NOUN
cana-3807	81	7	can	can	AUX
cana-3807	81	8	improve	improve	VERB
cana-3807	81	9	the	the	DET
cana-3807	81	10	suitability	suitability	NOUN
cana-3807	81	11	of	of	ADP
cana-3807	81	12	graph	graph	NOUN
cana-3807	81	13	algorithms	algorithm	NOUN
cana-3807	81	14	for	for	ADP
cana-3807	81	15	the	the	DET
cana-3807	81	16	analysis	analysis	NOUN
cana-3807	81	17	of	of	ADP
cana-3807	81	18	intricate	intricate	ADJ
cana-3807	81	19	biological	biological	ADJ
cana-3807	81	20	data	datum	NOUN
cana-3807	81	21	.	.	PUNCT
cana-3807	82	1	[	[	X
cana-3807	82	2	5	5	X
cana-3807	82	3	]	]	PUNCT
cana-3807	82	4	ahmed	ahmed	PROPN
cana-3807	82	5	et	et	PROPN
cana-3807	82	6	al	al	PROPN
cana-3807	82	7	.	.	PROPN
cana-3807	82	8	(	(	PUNCT
cana-3807	82	9	2020	2020	NUM
cana-3807	82	10	)	)	PUNCT
cana-3807	82	11	employed	employ	VERB
cana-3807	82	12	heuristic	heuristic	ADJ
cana-3807	82	13	search	search	NOUN
cana-3807	82	14	techniques	technique	NOUN
cana-3807	82	15	to	to	PART
cana-3807	82	16	increase	increase	VERB
cana-3807	82	17	the	the	DET
cana-3807	82	18	scalability	scalability	NOUN
cana-3807	82	19	of	of	ADP
cana-3807	82	20	graph	graph	NOUN
cana-3807	82	21	algorithms	algorithm	NOUN
cana-3807	82	22	for	for	ADP
cana-3807	82	23	extensive	extensive	ADJ
cana-3807	82	24	transportation	transportation	NOUN
cana-3807	82	25	networks	network	NOUN
cana-3807	82	26	.	.	PUNCT
cana-3807	83	1	to	to	PART
cana-3807	83	2	increase	increase	VERB
cana-3807	83	3	pathfinding	pathfinding	NOUN
cana-3807	83	4	efficiency	efficiency	NOUN
cana-3807	83	5	,	,	PUNCT
cana-3807	83	6	the	the	DET
cana-3807	83	7	authors	author	NOUN
cana-3807	83	8	added	add	VERB
cana-3807	83	9	domain	domain	NOUN
cana-3807	83	10	-	-	PUNCT
cana-3807	83	11	specific	specific	ADJ
cana-3807	83	12	heuristics	heuristic	NOUN
cana-3807	83	13	to	to	ADP
cana-3807	83	14	an	an	DET
cana-3807	83	15	a	a	PRON
cana-3807	83	16	*	*	ADJ
cana-3807	83	17	search	search	NOUN
cana-3807	83	18	algorithm	algorithm	NOUN
cana-3807	83	19	.	.	PUNCT
cana-3807	84	1	their	their	PRON
cana-3807	84	2	methodology	methodology	NOUN
cana-3807	84	3	performed	perform	VERB
cana-3807	84	4	better	well	ADV
cana-3807	84	5	in	in	ADP
cana-3807	84	6	route	route	NOUN
cana-3807	84	7	planning	planning	NOUN
cana-3807	84	8	and	and	CCONJ
cana-3807	84	9	congestion	congestion	NOUN
cana-3807	84	10	management	management	NOUN
cana-3807	84	11	when	when	SCONJ
cana-3807	84	12	tested	test	VERB
cana-3807	84	13	on	on	ADP
cana-3807	84	14	urban	urban	ADJ
cana-3807	84	15	traffic	traffic	NOUN
cana-3807	84	16	statistics	statistic	NOUN
cana-3807	84	17	.	.	PUNCT
cana-3807	85	1	the	the	DET
cana-3807	85	2	study	study	NOUN
cana-3807	85	3	showed	show	VERB
cana-3807	85	4	that	that	SCONJ
cana-3807	85	5	combining	combine	VERB
cana-3807	85	6	heuristic	heuristic	ADJ
cana-3807	85	7	methods	method	NOUN
cana-3807	85	8	with	with	ADP
cana-3807	85	9	conventional	conventional	ADJ
cana-3807	85	10	graph	graph	NOUN
cana-3807	85	11	algorithms	algorithm	NOUN
cana-3807	85	12	greatly	greatly	ADV
cana-3807	85	13	cuts	cut	VERB
cana-3807	85	14	down	down	ADP
cana-3807	85	15	on	on	ADP
cana-3807	85	16	computing	compute	VERB
cana-3807	85	17	time	time	NOUN
cana-3807	85	18	without	without	ADP
cana-3807	85	19	sacrificing	sacrifice	VERB
cana-3807	85	20	accuracy	accuracy	NOUN
cana-3807	85	21	,	,	PUNCT
cana-3807	85	22	which	which	PRON
cana-3807	85	23	makes	make	VERB
cana-3807	85	24	them	they	PRON
cana-3807	85	25	appropriate	appropriate	ADJ
cana-3807	85	26	for	for	ADP
cana-3807	85	27	practical	practical	ADJ
cana-3807	85	28	uses	use	NOUN
cana-3807	85	29	.	.	PUNCT
cana-3807	86	1	[	[	X
cana-3807	86	2	6	6	NUM
cana-3807	86	3	]	]	PUNCT
cana-3807	86	4	in	in	ADP
cana-3807	86	5	order	order	NOUN
cana-3807	86	6	to	to	PART
cana-3807	86	7	optimize	optimize	VERB
cana-3807	86	8	graph	graph	NOUN
cana-3807	86	9	algorithms	algorithm	NOUN
cana-3807	86	10	for	for	ADP
cana-3807	86	11	dynamic	dynamic	ADJ
cana-3807	86	12	networks	network	NOUN
cana-3807	86	13	—	—	PUNCT
cana-3807	86	14	where	where	SCONJ
cana-3807	86	15	nodes	node	NOUN
cana-3807	86	16	and	and	CCONJ
cana-3807	86	17	edges	edge	VERB
cana-3807	86	18	fluctuate	fluctuate	NOUN
cana-3807	86	19	over	over	ADP
cana-3807	86	20	time	time	NOUN
cana-3807	86	21	—	—	PUNCT
cana-3807	86	22	wang	wang	PROPN
cana-3807	86	23	et	et	PROPN
cana-3807	86	24	al	al	PROPN
cana-3807	86	25	.	.	PROPN
cana-3807	87	1	(	(	PUNCT
cana-3807	87	2	2018	2018	NUM
cana-3807	87	3	)	)	PUNCT
cana-3807	87	4	created	create	VERB
cana-3807	87	5	a	a	DET
cana-3807	87	6	mathematical	mathematical	ADJ
cana-3807	87	7	model	model	NOUN
cana-3807	87	8	.	.	PUNCT
cana-3807	88	1	the	the	DET
cana-3807	88	2	work	work	NOUN
cana-3807	88	3	presented	present	VERB
cana-3807	88	4	adaptive	adaptive	ADJ
cana-3807	88	5	algorithms	algorithm	NOUN
cana-3807	88	6	that	that	PRON
cana-3807	88	7	do	do	AUX
cana-3807	88	8	n't	not	PART
cana-3807	88	9	require	require	VERB
cana-3807	88	10	a	a	DET
cana-3807	88	11	full	full	ADJ
cana-3807	88	12	graph	graph	NOUN
cana-3807	88	13	reconstruction	reconstruction	NOUN
cana-3807	88	14	to	to	PART
cana-3807	88	15	recalculate	recalculate	VERB
cana-3807	88	16	connectedness	connectedness	NOUN
cana-3807	88	17	and	and	CCONJ
cana-3807	88	18	shortest	short	ADJ
cana-3807	88	19	pathways	pathway	NOUN
cana-3807	88	20	.	.	PUNCT
cana-3807	89	1	the	the	DET
cana-3807	89	2	authors	author	NOUN
cana-3807	89	3	enhanced	enhance	VERB
cana-3807	89	4	the	the	DET
cana-3807	89	5	flexibility	flexibility	NOUN
cana-3807	89	6	and	and	CCONJ
cana-3807	89	7	effectiveness	effectiveness	NOUN
cana-3807	89	8	of	of	ADP
cana-3807	89	9	dynamic	dynamic	ADJ
cana-3807	89	10	graph	graph	NOUN
cana-3807	89	11	analysis	analysis	NOUN
cana-3807	89	12	by	by	ADP
cana-3807	89	13	integrating	integrate	VERB
cana-3807	89	14	temporal	temporal	ADJ
cana-3807	89	15	graph	graph	NOUN
cana-3807	89	16	theory	theory	NOUN
cana-3807	89	17	.	.	PUNCT
cana-3807	90	1	the	the	DET
cana-3807	90	2	significance	significance	NOUN
cana-3807	90	3	of	of	ADP
cana-3807	90	4	dynamic	dynamic	ADJ
cana-3807	90	5	optimization	optimization	NOUN
cana-3807	90	6	algorithms	algorithm	NOUN
cana-3807	90	7	was	be	AUX
cana-3807	90	8	highlighted	highlight	VERB
cana-3807	90	9	by	by	ADP
cana-3807	90	10	their	their	PRON
cana-3807	90	11	empirical	empirical	ADJ
cana-3807	90	12	evaluation	evaluation	NOUN
cana-3807	90	13	on	on	ADP
cana-3807	90	14	evolving	evolve	VERB
cana-3807	90	15	communication	communication	NOUN
cana-3807	90	16	networks	network	NOUN
cana-3807	90	17	,	,	PUNCT
cana-3807	90	18	which	which	PRON
cana-3807	90	19	demonstrated	demonstrate	VERB
cana-3807	90	20	significant	significant	ADJ
cana-3807	90	21	increases	increase	NOUN
cana-3807	90	22	in	in	ADP
cana-3807	90	23	processing	processing	NOUN
cana-3807	90	24	speed	speed	NOUN
cana-3807	90	25	and	and	CCONJ
cana-3807	90	26	decreased	decrease	VERB
cana-3807	90	27	resource	resource	NOUN
cana-3807	90	28	use	use	NOUN
cana-3807	90	29	.	.	PUNCT
cana-3807	91	1	[	[	X
cana-3807	91	2	7	7	X
cana-3807	91	3	]	]	X
cana-3807	91	4	the	the	DET
cana-3807	91	5	use	use	NOUN
cana-3807	91	6	of	of	ADP
cana-3807	91	7	graph	graph	NOUN
cana-3807	91	8	compression	compression	NOUN
cana-3807	91	9	strategies	strategy	NOUN
cana-3807	91	10	in	in	ADP
cana-3807	91	11	large	large	ADJ
cana-3807	91	12	-	-	PUNCT
cana-3807	91	13	scale	scale	NOUN
cana-3807	91	14	graph	graph	NOUN
cana-3807	91	15	algorithm	algorithm	NOUN
cana-3807	91	16	optimization	optimization	NOUN
cana-3807	91	17	was	be	AUX
cana-3807	91	18	examined	examine	VERB
cana-3807	91	19	by	by	ADP
cana-3807	91	20	patel	patel	PROPN
cana-3807	91	21	et	et	PROPN
cana-3807	91	22	al	al	PROPN
cana-3807	91	23	.	.	PROPN
cana-3807	92	1	(	(	PUNCT
cana-3807	92	2	2021	2021	NUM
cana-3807	92	3	)	)	PUNCT
cana-3807	92	4	.	.	PUNCT
cana-3807	93	1	to	to	PART
cana-3807	93	2	decrease	decrease	VERB
cana-3807	93	3	graph	graph	NOUN
cana-3807	93	4	size	size	NOUN
cana-3807	93	5	without	without	ADP
cana-3807	93	6	compromising	compromise	VERB
cana-3807	93	7	structural	structural	ADJ
cana-3807	93	8	integrity	integrity	NOUN
cana-3807	93	9	,	,	PUNCT
cana-3807	93	10	the	the	DET
cana-3807	93	11	authors	author	NOUN
cana-3807	93	12	presented	present	VERB
cana-3807	93	13	a	a	DET
cana-3807	93	14	lossless	lossless	NOUN
cana-3807	93	15	compression	compression	NOUN
cana-3807	93	16	approach	approach	NOUN
cana-3807	93	17	.	.	PUNCT
cana-3807	94	1	they	they	PRON
cana-3807	94	2	showed	show	VERB
cana-3807	94	3	enhanced	enhance	VERB
cana-3807	94	4	algorithmic	algorithmic	ADJ
cana-3807	94	5	efficiency	efficiency	NOUN
cana-3807	94	6	and	and	CCONJ
cana-3807	94	7	memory	memory	NOUN
cana-3807	94	8	management	management	NOUN
cana-3807	94	9	by	by	ADP
cana-3807	94	10	using	use	VERB
cana-3807	94	11	their	their	PRON
cana-3807	94	12	method	method	NOUN
cana-3807	94	13	on	on	ADP
cana-3807	94	14	real	real	ADJ
cana-3807	94	15	-	-	PUNCT
cana-3807	94	16	world	world	NOUN
cana-3807	94	17	datasets	dataset	NOUN
cana-3807	94	18	,	,	PUNCT
cana-3807	94	19	such	such	ADJ
cana-3807	94	20	as	as	ADP
cana-3807	94	21	social	social	ADJ
cana-3807	94	22	and	and	CCONJ
cana-3807	94	23	citation	citation	NOUN
cana-3807	94	24	networks	network	NOUN
cana-3807	94	25	.	.	PUNCT
cana-3807	95	1	their	their	PRON
cana-3807	95	2	results	result	NOUN
cana-3807	95	3	demonstrated	demonstrate	VERB
cana-3807	95	4	how	how	SCONJ
cana-3807	95	5	scalability	scalability	NOUN
cana-3807	95	6	concerns	concern	NOUN
cana-3807	95	7	can	can	AUX
cana-3807	95	8	be	be	AUX
cana-3807	95	9	resolved	resolve	VERB
cana-3807	95	10	with	with	ADP
cana-3807	95	11	graph	graph	NOUN
cana-3807	95	12	compression	compression	NOUN
cana-3807	95	13	while	while	SCONJ
cana-3807	95	14	maintaining	maintain	VERB
cana-3807	95	15	the	the	DET
cana-3807	95	16	precision	precision	NOUN
cana-3807	95	17	of	of	ADP
cana-3807	95	18	algorithmic	algorithmic	ADJ
cana-3807	95	19	results	result	NOUN
cana-3807	95	20	.	.	PUNCT
cana-3807	96	1	the	the	DET
cana-3807	96	2	study	study	NOUN
cana-3807	96	3	offered	offer	VERB
cana-3807	96	4	useful	useful	ADJ
cana-3807	96	5	advice	advice	NOUN
cana-3807	96	6	on	on	ADP
cana-3807	96	7	how	how	SCONJ
cana-3807	96	8	to	to	PART
cana-3807	96	9	store	store	VERB
cana-3807	96	10	and	and	CCONJ
cana-3807	96	11	navigate	navigate	VERB
cana-3807	96	12	huge	huge	ADJ
cana-3807	96	13	graphs	graph	NOUN
cana-3807	96	14	effectively	effectively	ADV
cana-3807	96	15	.	.	PUNCT
cana-3807	97	1	[	[	X
cana-3807	97	2	8	8	NUM
cana-3807	97	3	]	]	PUNCT
cana-3807	97	4	for	for	ADP
cana-3807	97	5	large	large	ADJ
cana-3807	97	6	-	-	PUNCT
cana-3807	97	7	scale	scale	NOUN
cana-3807	97	8	networks	network	NOUN
cana-3807	97	9	,	,	PUNCT
cana-3807	97	10	singh	singh	PROPN
cana-3807	97	11	et	et	PROPN
cana-3807	97	12	al	al	PROPN
cana-3807	97	13	.	.	PROPN
cana-3807	97	14	(	(	PUNCT
cana-3807	97	15	2020	2020	NUM
cana-3807	97	16	)	)	PUNCT
cana-3807	97	17	investigated	investigate	VERB
cana-3807	97	18	the	the	DET
cana-3807	97	19	combination	combination	NOUN
cana-3807	97	20	of	of	ADP
cana-3807	97	21	graph	graph	NOUN
cana-3807	97	22	optimization	optimization	NOUN
cana-3807	97	23	methods	method	NOUN
cana-3807	97	24	with	with	ADP
cana-3807	97	25	metaheuristic	metaheuristic	ADJ
cana-3807	97	26	algorithms	algorithm	NOUN
cana-3807	97	27	.	.	PUNCT
cana-3807	98	1	genetic	genetic	ADJ
cana-3807	98	2	algorithms	algorithm	NOUN
cana-3807	98	3	(	(	PUNCT
cana-3807	98	4	ga	ga	NOUN
cana-3807	98	5	)	)	PUNCT
cana-3807	98	6	were	be	AUX
cana-3807	98	7	used	use	VERB
cana-3807	98	8	in	in	ADP
cana-3807	98	9	their	their	PRON
cana-3807	98	10	study	study	NOUN
cana-3807	98	11	to	to	PART
cana-3807	98	12	optimize	optimize	VERB
cana-3807	98	13	resource	resource	NOUN
cana-3807	98	14	allocation	allocation	NOUN
cana-3807	98	15	and	and	CCONJ
cana-3807	98	16	network	network	NOUN
cana-3807	98	17	flows	flow	VERB
cana-3807	98	18	in	in	ADP
cana-3807	98	19	graph	graph	NOUN
cana-3807	98	20	-	-	PUNCT
cana-3807	98	21	based	base	VERB
cana-3807	98	22	models	model	NOUN
cana-3807	98	23	.	.	PUNCT
cana-3807	99	1	the	the	DET
cana-3807	99	2	suggested	suggest	VERB
cana-3807	99	3	method	method	NOUN
cana-3807	99	4	outperforms	outperform	VERB
cana-3807	99	5	conventional	conventional	ADJ
cana-3807	99	6	optimization	optimization	NOUN
cana-3807	99	7	strategies	strategy	NOUN
cana-3807	99	8	in	in	ADP
cana-3807	99	9	terms	term	NOUN
cana-3807	99	10	of	of	ADP
cana-3807	99	11	accuracy	accuracy	NOUN
cana-3807	99	12	and	and	CCONJ
cana-3807	99	13	computational	computational	ADJ
cana-3807	99	14	speed	speed	NOUN
cana-3807	99	15	by	by	ADP
cana-3807	99	16	using	use	VERB
cana-3807	99	17	fitness	fitness	NOUN
cana-3807	99	18	functions	function	NOUN
cana-3807	99	19	and	and	CCONJ
cana-3807	99	20	iterative	iterative	NOUN
cana-3807	99	21	improvements	improvement	NOUN
cana-3807	99	22	.	.	PUNCT
cana-3807	100	1	the	the	DET
cana-3807	100	2	outcomes	outcome	NOUN
cana-3807	100	3	of	of	ADP
cana-3807	100	4	the	the	DET
cana-3807	100	5	experiments	experiment	NOUN
cana-3807	100	6	conducted	conduct	VERB
cana-3807	100	7	on	on	ADP
cana-3807	100	8	telecommunication	telecommunication	NOUN
cana-3807	100	9	networks	network	NOUN
cana-3807	100	10	showed	show	VERB
cana-3807	100	11	how	how	SCONJ
cana-3807	100	12	flexible	flexible	ADJ
cana-3807	100	13	metaheuristic	metaheuristic	ADJ
cana-3807	100	14	algorithms	algorithm	NOUN
cana-3807	100	15	are	be	AUX
cana-3807	100	16	in	in	ADP
cana-3807	100	17	solving	solve	VERB
cana-3807	100	18	scalability	scalability	NOUN
cana-3807	100	19	issues	issue	NOUN
cana-3807	100	20	in	in	ADP
cana-3807	100	21	graph	graph	NOUN
cana-3807	100	22	calculations	calculation	NOUN
cana-3807	100	23	.	.	PUNCT
cana-3807	101	1	[	[	X
cana-3807	101	2	9	9	NUM
cana-3807	101	3	]	]	PUNCT
cana-3807	101	4	for	for	ADP
cana-3807	101	5	the	the	DET
cana-3807	101	6	analysis	analysis	NOUN
cana-3807	101	7	of	of	ADP
cana-3807	101	8	large	large	ADJ
cana-3807	101	9	-	-	PUNCT
cana-3807	101	10	scale	scale	NOUN
cana-3807	101	11	social	social	ADJ
cana-3807	101	12	networks	network	NOUN
cana-3807	101	13	,	,	PUNCT
cana-3807	101	14	nguyen	nguyen	PROPN
cana-3807	101	15	et	et	PROPN
cana-3807	101	16	al	al	PROPN
cana-3807	101	17	.	.	PROPN
cana-3807	101	18	(	(	PUNCT
cana-3807	101	19	2022	2022	NUM
cana-3807	101	20	)	)	PUNCT
cana-3807	101	21	suggested	suggest	VERB
cana-3807	101	22	a	a	DET
cana-3807	101	23	hybrid	hybrid	ADJ
cana-3807	101	24	technique	technique	NOUN
cana-3807	101	25	that	that	PRON
cana-3807	101	26	combines	combine	VERB
cana-3807	101	27	parallel	parallel	ADJ
cana-3807	101	28	processing	processing	NOUN
cana-3807	101	29	and	and	CCONJ
cana-3807	101	30	graph	graph	NOUN
cana-3807	101	31	partitioning	partitioning	NOUN
cana-3807	101	32	.	.	PUNCT
cana-3807	102	1	the	the	DET
cana-3807	102	2	study	study	NOUN
cana-3807	102	3	showed	show	VERB
cana-3807	102	4	how	how	SCONJ
cana-3807	102	5	community	community	NOUN
cana-3807	102	6	discovery	discovery	NOUN
cana-3807	102	7	methods	method	NOUN
cana-3807	102	8	were	be	AUX
cana-3807	102	9	more	more	ADV
cana-3807	102	10	effective	effective	ADJ
cana-3807	102	11	when	when	SCONJ
cana-3807	102	12	big	big	ADJ
cana-3807	102	13	graphs	graph	NOUN
cana-3807	102	14	were	be	AUX
cana-3807	102	15	divided	divide	VERB
cana-3807	102	16	into	into	ADP
cana-3807	102	17	smaller	small	ADJ
cana-3807	102	18	subgraphs	subgraph	NOUN
cana-3807	102	19	and	and	CCONJ
cana-3807	102	20	then	then	ADV
cana-3807	102	21	processed	process	VERB
cana-3807	102	22	in	in	ADP
cana-3807	102	23	a	a	DET
cana-3807	102	24	distributed	distribute	VERB
cana-3807	102	25	manner	manner	NOUN
cana-3807	102	26	.	.	PUNCT
cana-3807	103	1	both	both	DET
cana-3807	103	2	processing	process	VERB
cana-3807	103	3	speed	speed	NOUN
cana-3807	103	4	and	and	CCONJ
cana-3807	103	5	resource	resource	NOUN
cana-3807	103	6	consumption	consumption	NOUN
cana-3807	103	7	significantly	significantly	ADV
cana-3807	103	8	improved	improve	VERB
cana-3807	103	9	,	,	PUNCT
cana-3807	103	10	according	accord	VERB
cana-3807	103	11	to	to	ADP
cana-3807	103	12	their	their	PRON
cana-3807	103	13	findings	finding	NOUN
cana-3807	103	14	.	.	PUNCT
cana-3807	104	1	the	the	DET
cana-3807	104	2	authors	author	NOUN
cana-3807	104	3	underlined	underline	VERB
cana-3807	104	4	that	that	SCONJ
cana-3807	104	5	hybrid	hybrid	ADJ
cana-3807	104	6	techniques	technique	NOUN
cana-3807	104	7	could	could	AUX
cana-3807	104	8	provide	provide	VERB
cana-3807	104	9	useful	useful	ADJ
cana-3807	104	10	solutions	solution	NOUN
cana-3807	104	11	for	for	ADP
cana-3807	104	12	social	social	ADJ
cana-3807	104	13	network	network	NOUN
cana-3807	104	14	analysis	analysis	NOUN
cana-3807	104	15	by	by	ADP
cana-3807	104	16	addressing	address	VERB
cana-3807	104	17	the	the	DET
cana-3807	104	18	drawbacks	drawback	NOUN
cana-3807	104	19	of	of	ADP
cana-3807	104	20	conventional	conventional	ADJ
cana-3807	104	21	graph	graph	NOUN
cana-3807	104	22	algorithms	algorithm	NOUN
cana-3807	104	23	when	when	SCONJ
cana-3807	104	24	working	work	VERB
cana-3807	104	25	with	with	ADP
cana-3807	104	26	large	large	ADJ
cana-3807	104	27	datasets	dataset	NOUN
cana-3807	104	28	.	.	PUNCT
cana-3807	105	1	[	[	X
cana-3807	105	2	10	10	NUM
cana-3807	105	3	]	]	X
cana-3807	105	4	an	an	DET
cana-3807	105	5	optimization	optimization	NOUN
cana-3807	105	6	framework	framework	NOUN
cana-3807	105	7	for	for	ADP
cana-3807	105	8	graph	graph	NOUN
cana-3807	105	9	clustering	clustering	ADJ
cana-3807	105	10	methods	method	NOUN
cana-3807	105	11	used	use	VERB
cana-3807	105	12	in	in	ADP
cana-3807	105	13	large	large	ADJ
cana-3807	105	14	-	-	PUNCT
cana-3807	105	15	scale	scale	NOUN
cana-3807	105	16	networks	network	NOUN
cana-3807	105	17	was	be	AUX
cana-3807	105	18	created	create	VERB
cana-3807	105	19	by	by	ADP
cana-3807	105	20	brown	brown	PROPN
cana-3807	105	21	et	et	PROPN
cana-3807	105	22	al	al	PROPN
cana-3807	105	23	.	.	PROPN
cana-3807	106	1	(	(	PUNCT
cana-3807	106	2	2019	2019	NUM
cana-3807	106	3	)	)	PUNCT
cana-3807	106	4	.	.	PUNCT
cana-3807	107	1	in	in	ADP
cana-3807	107	2	order	order	NOUN
cana-3807	107	3	to	to	PART
cana-3807	107	4	control	control	VERB
cana-3807	107	5	graph	graph	NOUN
cana-3807	107	6	complexity	complexity	NOUN
cana-3807	107	7	,	,	PUNCT
cana-3807	107	8	their	their	PRON
cana-3807	107	9	study	study	NOUN
cana-3807	107	10	integrated	integrate	VERB
cana-3807	107	11	sophisticated	sophisticated	ADJ
cana-3807	107	12	clustering	clustering	ADJ
cana-3807	107	13	algorithms	algorithm	NOUN
cana-3807	107	14	that	that	PRON
cana-3807	107	15	use	use	VERB
cana-3807	107	16	hierarchical	hierarchical	ADJ
cana-3807	107	17	partitioning	partitioning	NOUN
cana-3807	107	18	.	.	PUNCT
cana-3807	108	1	using	use	VERB
cana-3807	108	2	social	social	ADJ
cana-3807	108	3	and	and	CCONJ
cana-3807	108	4	biological	biological	ADJ
cana-3807	108	5	datasets	dataset	NOUN
cana-3807	108	6	,	,	PUNCT
cana-3807	108	7	the	the	DET
cana-3807	108	8	authors	author	NOUN
cana-3807	108	9	verified	verify	VERB
cana-3807	108	10	their	their	PRON
cana-3807	108	11	approach	approach	NOUN
cana-3807	108	12	and	and	CCONJ
cana-3807	108	13	showed	show	VERB
cana-3807	108	14	improved	improved	ADJ
cana-3807	108	15	clustering	clustering	NOUN
cana-3807	108	16	accuracy	accuracy	NOUN
cana-3807	108	17	and	and	CCONJ
cana-3807	108	18	lower	low	ADJ
cana-3807	108	19	processing	processing	NOUN
cana-3807	108	20	cost	cost	NOUN
cana-3807	108	21	.	.	PUNCT
cana-3807	109	1	according	accord	VERB
cana-3807	109	2	to	to	ADP
cana-3807	109	3	their	their	PRON
cana-3807	109	4	research	research	NOUN
cana-3807	109	5	,	,	PUNCT
cana-3807	109	6	hierarchical	hierarchical	ADJ
cana-3807	109	7	graph	graph	NOUN
cana-3807	109	8	clustering	cluster	VERB
cana-3807	109	9	can	can	AUX
cana-3807	109	10	effectively	effectively	ADV
cana-3807	109	11	address	address	VERB
cana-3807	109	12	scalability	scalability	NOUN
cana-3807	109	13	concerns	concern	NOUN
cana-3807	109	14	in	in	ADP
cana-3807	109	15	practical	practical	ADJ
cana-3807	109	16	applications	application	NOUN
cana-3807	109	17	,	,	PUNCT
cana-3807	109	18	opening	open	VERB
cana-3807	109	19	the	the	DET
cana-3807	109	20	door	door	NOUN
cana-3807	109	21	for	for	ADP
cana-3807	109	22	better	well	ADJ
cana-3807	109	23	network	network	NOUN
cana-3807	109	24	data	datum	NOUN
cana-3807	109	25	analysis	analysis	NOUN
cana-3807	109	26	.	.	PUNCT
cana-3807	110	1	[	[	X
cana-3807	110	2	11	11	NUM
cana-3807	110	3	]	]	X
cana-3807	110	4	tan	tan	PROPN
cana-3807	110	5	et	et	PROPN
cana-3807	110	6	al	al	PROPN
cana-3807	110	7	.	.	PROPN
cana-3807	111	1	(	(	PUNCT
cana-3807	111	2	2021	2021	NUM
cana-3807	111	3	)	)	PUNCT
cana-3807	111	4	looked	look	VERB
cana-3807	111	5	into	into	ADP
cana-3807	111	6	load	load	NOUN
cana-3807	111	7	balancing	balance	VERB
cana-3807	111	8	techniques	technique	NOUN
cana-3807	111	9	for	for	ADP
cana-3807	111	10	large	large	ADJ
cana-3807	111	11	-	-	PUNCT
cana-3807	111	12	scale	scale	NOUN
cana-3807	111	13	networks	network	NOUN
cana-3807	111	14	using	use	VERB
cana-3807	111	15	parallel	parallel	ADJ
cana-3807	111	16	graph	graph	NOUN
cana-3807	111	17	processing	processing	NOUN
cana-3807	111	18	systems	system	NOUN
cana-3807	111	19	.	.	PUNCT
cana-3807	112	1	in	in	ADP
cana-3807	112	2	order	order	NOUN
cana-3807	112	3	to	to	PART
cana-3807	112	4	avoid	avoid	VERB
cana-3807	112	5	computational	computational	ADJ
cana-3807	112	6	bottlenecks	bottleneck	NOUN
cana-3807	112	7	in	in	ADP
cana-3807	112	8	parallel	parallel	ADJ
cana-3807	112	9	systems	system	NOUN
cana-3807	112	10	,	,	PUNCT
cana-3807	112	11	the	the	DET
cana-3807	112	12	authors	author	NOUN
cana-3807	112	13	presented	present	VERB
cana-3807	112	14	an	an	DET
cana-3807	112	15	adaptive	adaptive	ADJ
cana-3807	112	16	load	load	NOUN
cana-3807	112	17	distribution	distribution	NOUN
cana-3807	112	18	model	model	NOUN
cana-3807	112	19	.	.	PUNCT
cana-3807	113	1	the	the	DET
cana-3807	113	2	work	work	NOUN
cana-3807	113	3	showed	show	VERB
cana-3807	113	4	enhanced	enhanced	ADJ
cana-3807	113	5	computing	computing	NOUN
cana-3807	113	6	efficiency	efficiency	NOUN
cana-3807	113	7	and	and	CCONJ
cana-3807	113	8	shorter	short	ADJ
cana-3807	113	9	execution	execution	NOUN
cana-3807	113	10	time	time	NOUN
cana-3807	113	11	through	through	ADP
cana-3807	113	12	experimental	experimental	ADJ
cana-3807	113	13	validation	validation	NOUN
cana-3807	113	14	on	on	ADP
cana-3807	113	15	both	both	CCONJ
cana-3807	113	16	synthetic	synthetic	ADJ
cana-3807	113	17	and	and	CCONJ
cana-3807	113	18	real	real	ADJ
cana-3807	113	19	-	-	PUNCT
cana-3807	113	20	world	world	NOUN
cana-3807	113	21	datasets	dataset	NOUN
cana-3807	113	22	.	.	PUNCT
cana-3807	114	1	the	the	DET
cana-3807	114	2	importance	importance	NOUN
cana-3807	114	3	of	of	ADP
cana-3807	114	4	a	a	DET
cana-3807	114	5	balanced	balanced	ADJ
cana-3807	114	6	workload	workload	NOUN
cana-3807	114	7	communications	communication	NOUN
cana-3807	114	8	on	on	ADP
cana-3807	114	9	applied	apply	VERB
cana-3807	114	10	nonlinear	nonlinear	ADJ
cana-3807	114	11	analysis	analysis	NOUN
cana-3807	114	12	issn	issn	NOUN
cana-3807	114	13	:	:	PUNCT
cana-3807	114	14	1074	1074	NUM
cana-3807	114	15	-	-	PUNCT
cana-3807	114	16	133x	133x	NUM
cana-3807	114	17	vol	vol	NOUN
cana-3807	114	18	32	32	NUM
cana-3807	114	19	no	no	NOUN
cana-3807	114	20	.	.	PUNCT
cana-3807	115	1	8s	8s	PROPN
cana-3807	115	2	(	(	PUNCT
cana-3807	115	3	2025	2025	NUM
cana-3807	115	4	)	)	PUNCT
cana-3807	115	5	767	767	NUM
cana-3807	115	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3807	115	7	distribution	distribution	NOUN
cana-3807	115	8	in	in	ADP
cana-3807	115	9	improving	improve	VERB
cana-3807	115	10	the	the	DET
cana-3807	115	11	scalability	scalability	NOUN
cana-3807	115	12	and	and	CCONJ
cana-3807	115	13	performance	performance	NOUN
cana-3807	115	14	of	of	ADP
cana-3807	115	15	graph	graph	NOUN
cana-3807	115	16	algorithms	algorithm	NOUN
cana-3807	115	17	on	on	ADP
cana-3807	115	18	big	big	ADJ
cana-3807	115	19	datasets	dataset	NOUN
cana-3807	115	20	was	be	AUX
cana-3807	115	21	highlighted	highlight	VERB
cana-3807	115	22	by	by	ADP
cana-3807	115	23	their	their	PRON
cana-3807	115	24	findings	finding	NOUN
cana-3807	115	25	.	.	PUNCT
cana-3807	116	1	[	[	X
cana-3807	116	2	12	12	NUM
cana-3807	116	3	]	]	PUNCT
cana-3807	116	4	park	park	NOUN
cana-3807	116	5	et	et	PROPN
cana-3807	116	6	al	al	PROPN
cana-3807	116	7	.	.	PROPN
cana-3807	116	8	(	(	PUNCT
cana-3807	116	9	2020	2020	NUM
cana-3807	116	10	)	)	PUNCT
cana-3807	116	11	concentrated	concentrate	VERB
cana-3807	116	12	on	on	ADP
cana-3807	116	13	employing	employ	VERB
cana-3807	116	14	distributed	distribute	VERB
cana-3807	116	15	computing	computing	NOUN
cana-3807	116	16	frameworks	framework	NOUN
cana-3807	116	17	to	to	PART
cana-3807	116	18	optimize	optimize	VERB
cana-3807	116	19	graph	graph	NOUN
cana-3807	116	20	traversal	traversal	NOUN
cana-3807	116	21	techniques	technique	NOUN
cana-3807	116	22	.	.	PUNCT
cana-3807	117	1	a	a	DET
cana-3807	117	2	distributed	distribute	VERB
cana-3807	117	3	variant	variant	NOUN
cana-3807	117	4	of	of	ADP
cana-3807	117	5	the	the	DET
cana-3807	117	6	breadth	breadth	NOUN
cana-3807	117	7	-	-	PUNCT
cana-3807	117	8	first	first	ADJ
cana-3807	117	9	search	search	NOUN
cana-3807	117	10	(	(	PUNCT
cana-3807	117	11	bfs	bfs	NOUN
cana-3807	117	12	)	)	PUNCT
cana-3807	117	13	algorithm	algorithm	NOUN
cana-3807	117	14	designed	design	VERB
cana-3807	117	15	for	for	ADP
cana-3807	117	16	huge	huge	ADJ
cana-3807	117	17	graphs	graph	NOUN
cana-3807	117	18	was	be	AUX
cana-3807	117	19	presented	present	VERB
cana-3807	117	20	in	in	ADP
cana-3807	117	21	their	their	PRON
cana-3807	117	22	paper	paper	NOUN
cana-3807	117	23	.	.	PUNCT
cana-3807	118	1	the	the	DET
cana-3807	118	2	suggested	suggest	VERB
cana-3807	118	3	approach	approach	NOUN
cana-3807	118	4	significantly	significantly	ADV
cana-3807	118	5	increased	increase	VERB
cana-3807	118	6	scalability	scalability	NOUN
cana-3807	118	7	and	and	CCONJ
cana-3807	118	8	runtime	runtime	NOUN
cana-3807	118	9	efficiency	efficiency	NOUN
cana-3807	118	10	by	by	ADP
cana-3807	118	11	breaking	break	VERB
cana-3807	118	12	down	down	ADP
cana-3807	118	13	graphs	graph	NOUN
cana-3807	118	14	into	into	ADP
cana-3807	118	15	smaller	small	ADJ
cana-3807	118	16	parts	part	NOUN
cana-3807	118	17	and	and	CCONJ
cana-3807	118	18	utilizing	utilize	VERB
cana-3807	118	19	distributed	distributed	ADJ
cana-3807	118	20	systems	system	NOUN
cana-3807	118	21	.	.	PUNCT
cana-3807	119	1	the	the	DET
cana-3807	119	2	study	study	NOUN
cana-3807	119	3	offered	offer	VERB
cana-3807	119	4	insightful	insightful	ADJ
cana-3807	119	5	information	information	NOUN
cana-3807	119	6	about	about	ADP
cana-3807	119	7	distributed	distribute	VERB
cana-3807	119	8	frameworks	framework	NOUN
cana-3807	119	9	'	'	PART
cana-3807	119	10	capability	capability	NOUN
cana-3807	119	11	for	for	ADP
cana-3807	119	12	effectively	effectively	ADV
cana-3807	119	13	processing	process	VERB
cana-3807	119	14	large	large	ADJ
cana-3807	119	15	-	-	PUNCT
cana-3807	119	16	scale	scale	NOUN
cana-3807	119	17	graphs	graph	NOUN
cana-3807	119	18	.	.	PUNCT
cana-3807	120	1	[	[	X
cana-3807	120	2	13	13	NUM
cana-3807	120	3	]	]	PUNCT
cana-3807	120	4	an	an	DET
cana-3807	120	5	enhanced	enhanced	ADJ
cana-3807	120	6	heuristic	heuristic	NOUN
cana-3807	120	7	-	-	PUNCT
cana-3807	120	8	based	base	VERB
cana-3807	120	9	technique	technique	NOUN
cana-3807	120	10	for	for	ADP
cana-3807	120	11	resolving	resolve	VERB
cana-3807	120	12	network	network	NOUN
cana-3807	120	13	flow	flow	NOUN
cana-3807	120	14	issues	issue	NOUN
cana-3807	120	15	in	in	ADP
cana-3807	120	16	extensive	extensive	ADJ
cana-3807	120	17	infrastructure	infrastructure	NOUN
cana-3807	120	18	networks	network	NOUN
cana-3807	120	19	was	be	AUX
cana-3807	120	20	introduced	introduce	VERB
cana-3807	120	21	by	by	ADP
cana-3807	120	22	zhao	zhao	PROPN
cana-3807	120	23	et	et	PROPN
cana-3807	120	24	al	al	PROPN
cana-3807	120	25	.	.	PROPN
cana-3807	120	26	in	in	ADP
cana-3807	120	27	2022	2022	NUM
cana-3807	120	28	.	.	PUNCT
cana-3807	121	1	in	in	ADP
cana-3807	121	2	order	order	NOUN
cana-3807	121	3	to	to	PART
cana-3807	121	4	ensure	ensure	VERB
cana-3807	121	5	appropriate	appropriate	ADJ
cana-3807	121	6	flow	flow	NOUN
cana-3807	121	7	distribution	distribution	NOUN
cana-3807	121	8	and	and	CCONJ
cana-3807	121	9	limit	limit	VERB
cana-3807	121	10	resource	resource	NOUN
cana-3807	121	11	consumption	consumption	NOUN
cana-3807	121	12	,	,	PUNCT
cana-3807	121	13	their	their	PRON
cana-3807	121	14	research	research	NOUN
cana-3807	121	15	combined	combine	VERB
cana-3807	121	16	flow	flow	NOUN
cana-3807	121	17	algorithms	algorithm	NOUN
cana-3807	121	18	with	with	ADP
cana-3807	121	19	heuristic	heuristic	ADJ
cana-3807	121	20	optimization	optimization	NOUN
cana-3807	121	21	.	.	PUNCT
cana-3807	122	1	significant	significant	ADJ
cana-3807	122	2	efficiency	efficiency	NOUN
cana-3807	122	3	benefits	benefit	NOUN
cana-3807	122	4	were	be	AUX
cana-3807	122	5	demonstrated	demonstrate	VERB
cana-3807	122	6	by	by	ADP
cana-3807	122	7	experimental	experimental	ADJ
cana-3807	122	8	results	result	NOUN
cana-3807	122	9	on	on	ADP
cana-3807	122	10	water	water	NOUN
cana-3807	122	11	and	and	CCONJ
cana-3807	122	12	traffic	traffic	NOUN
cana-3807	122	13	distribution	distribution	NOUN
cana-3807	122	14	networks	network	NOUN
cana-3807	122	15	.	.	PUNCT
cana-3807	123	1	the	the	DET
cana-3807	123	2	study	study	NOUN
cana-3807	123	3	focused	focus	VERB
cana-3807	123	4	on	on	ADP
cana-3807	123	5	the	the	DET
cana-3807	123	6	usefulness	usefulness	NOUN
cana-3807	123	7	of	of	ADP
cana-3807	123	8	heuristic	heuristic	ADJ
cana-3807	123	9	approaches	approach	NOUN
cana-3807	123	10	in	in	ADP
cana-3807	123	11	resolving	resolve	VERB
cana-3807	123	12	intricate	intricate	ADJ
cana-3807	123	13	flow	flow	NOUN
cana-3807	123	14	issues	issue	NOUN
cana-3807	123	15	in	in	ADP
cana-3807	123	16	large	large	ADJ
cana-3807	123	17	networks	network	NOUN
cana-3807	123	18	.	.	PUNCT
cana-3807	124	1	[	[	X
cana-3807	124	2	14	14	NUM
cana-3807	124	3	]	]	PUNCT
cana-3807	124	4	an	an	DET
cana-3807	124	5	edge	edge	NOUN
cana-3807	124	6	-	-	PUNCT
cana-3807	124	7	centric	centric	ADJ
cana-3807	124	8	optimization	optimization	NOUN
cana-3807	124	9	approach	approach	NOUN
cana-3807	124	10	for	for	ADP
cana-3807	124	11	large	large	ADJ
cana-3807	124	12	-	-	PUNCT
cana-3807	124	13	scale	scale	NOUN
cana-3807	124	14	graph	graph	NOUN
cana-3807	124	15	algorithms	algorithm	NOUN
cana-3807	124	16	was	be	AUX
cana-3807	124	17	presented	present	VERB
cana-3807	124	18	by	by	ADP
cana-3807	124	19	gupta	gupta	PROPN
cana-3807	124	20	et	et	PROPN
cana-3807	124	21	al	al	PROPN
cana-3807	124	22	.	.	PROPN
cana-3807	125	1	(	(	PUNCT
cana-3807	125	2	2019	2019	NUM
cana-3807	125	3	)	)	PUNCT
cana-3807	125	4	.	.	PUNCT
cana-3807	126	1	their	their	PRON
cana-3807	126	2	framework	framework	NOUN
cana-3807	126	3	prioritized	prioritize	VERB
cana-3807	126	4	increasing	increase	VERB
cana-3807	126	5	edge	edge	NOUN
cana-3807	126	6	traversal	traversal	NOUN
cana-3807	126	7	efficiency	efficiency	NOUN
cana-3807	126	8	and	and	CCONJ
cana-3807	126	9	reducing	reduce	VERB
cana-3807	126	10	edge	edge	NOUN
cana-3807	126	11	redundancy	redundancy	NOUN
cana-3807	126	12	.	.	PUNCT
cana-3807	127	1	the	the	DET
cana-3807	127	2	study	study	NOUN
cana-3807	127	3	demonstrated	demonstrate	VERB
cana-3807	127	4	notable	notable	ADJ
cana-3807	127	5	decreases	decrease	NOUN
cana-3807	127	6	in	in	ADP
cana-3807	127	7	computational	computational	ADJ
cana-3807	127	8	complexity	complexity	NOUN
cana-3807	127	9	through	through	ADP
cana-3807	127	10	experimental	experimental	ADJ
cana-3807	127	11	validation	validation	NOUN
cana-3807	127	12	on	on	ADP
cana-3807	127	13	datasets	dataset	NOUN
cana-3807	127	14	related	relate	VERB
cana-3807	127	15	to	to	ADP
cana-3807	127	16	communication	communication	NOUN
cana-3807	127	17	and	and	CCONJ
cana-3807	127	18	transportation	transportation	NOUN
cana-3807	127	19	.	.	PUNCT
cana-3807	128	1	the	the	DET
cana-3807	128	2	benefits	benefit	NOUN
cana-3807	128	3	of	of	ADP
cana-3807	128	4	edge	edge	NOUN
cana-3807	128	5	-	-	PUNCT
cana-3807	128	6	based	base	VERB
cana-3807	128	7	optimizations	optimization	NOUN
cana-3807	128	8	for	for	ADP
cana-3807	128	9	effectively	effectively	ADV
cana-3807	128	10	managing	manage	VERB
cana-3807	128	11	huge	huge	ADJ
cana-3807	128	12	graph	graph	NOUN
cana-3807	128	13	structures	structure	NOUN
cana-3807	128	14	were	be	AUX
cana-3807	128	15	emphasized	emphasize	VERB
cana-3807	128	16	by	by	ADP
cana-3807	128	17	the	the	DET
cana-3807	128	18	authors	author	NOUN
cana-3807	128	19	.	.	PUNCT
cana-3807	129	1	[	[	X
cana-3807	129	2	15	15	NUM
cana-3807	129	3	]	]	X
cana-3807	129	4	the	the	DET
cana-3807	129	5	function	function	NOUN
cana-3807	129	6	of	of	ADP
cana-3807	129	7	machine	machine	NOUN
cana-3807	129	8	learning	learning	NOUN
cana-3807	129	9	models	model	NOUN
cana-3807	129	10	in	in	ADP
cana-3807	129	11	optimizing	optimize	VERB
cana-3807	129	12	graph	graph	NOUN
cana-3807	129	13	algorithms	algorithm	NOUN
cana-3807	129	14	for	for	ADP
cana-3807	129	15	large	large	ADJ
cana-3807	129	16	-	-	PUNCT
cana-3807	129	17	scale	scale	NOUN
cana-3807	129	18	networks	network	NOUN
cana-3807	129	19	was	be	AUX
cana-3807	129	20	investigated	investigate	VERB
cana-3807	129	21	by	by	ADP
cana-3807	129	22	lee	lee	PROPN
cana-3807	129	23	et	et	PROPN
cana-3807	129	24	al	al	PROPN
cana-3807	129	25	.	.	PROPN
cana-3807	130	1	in	in	ADP
cana-3807	130	2	2021	2021	NUM
cana-3807	130	3	.	.	PUNCT
cana-3807	131	1	in	in	ADP
cana-3807	131	2	order	order	NOUN
cana-3807	131	3	to	to	PART
cana-3807	131	4	minimize	minimize	VERB
cana-3807	131	5	unnecessary	unnecessary	ADJ
cana-3807	131	6	calculations	calculation	NOUN
cana-3807	131	7	during	during	ADP
cana-3807	131	8	traversal	traversal	NOUN
cana-3807	131	9	,	,	PUNCT
cana-3807	131	10	the	the	DET
cana-3807	131	11	study	study	NOUN
cana-3807	131	12	used	use	VERB
cana-3807	131	13	neural	neural	ADJ
cana-3807	131	14	networks	network	NOUN
cana-3807	131	15	to	to	PART
cana-3807	131	16	predict	predict	VERB
cana-3807	131	17	important	important	ADJ
cana-3807	131	18	nodes	node	NOUN
cana-3807	131	19	and	and	CCONJ
cana-3807	131	20	edges	edge	NOUN
cana-3807	131	21	.	.	PUNCT
cana-3807	132	1	improvements	improvement	NOUN
cana-3807	132	2	in	in	ADP
cana-3807	132	3	memory	memory	NOUN
cana-3807	132	4	management	management	NOUN
cana-3807	132	5	and	and	CCONJ
cana-3807	132	6	execution	execution	NOUN
cana-3807	132	7	speed	speed	NOUN
cana-3807	132	8	were	be	AUX
cana-3807	132	9	shown	show	VERB
cana-3807	132	10	by	by	ADP
cana-3807	132	11	their	their	PRON
cana-3807	132	12	experimental	experimental	ADJ
cana-3807	132	13	findings	finding	NOUN
cana-3807	132	14	.	.	PUNCT
cana-3807	133	1	the	the	DET
cana-3807	133	2	study	study	NOUN
cana-3807	133	3	demonstrated	demonstrate	VERB
cana-3807	133	4	how	how	SCONJ
cana-3807	133	5	graph	graph	NOUN
cana-3807	133	6	theory	theory	NOUN
cana-3807	133	7	and	and	CCONJ
cana-3807	133	8	machine	machine	NOUN
cana-3807	133	9	learning	learning	NOUN
cana-3807	133	10	work	work	NOUN
cana-3807	133	11	together	together	ADV
cana-3807	133	12	,	,	PUNCT
cana-3807	133	13	providing	provide	VERB
cana-3807	133	14	fresh	fresh	ADJ
cana-3807	133	15	insights	insight	NOUN
cana-3807	133	16	into	into	ADP
cana-3807	133	17	how	how	SCONJ
cana-3807	133	18	to	to	PART
cana-3807	133	19	optimize	optimize	VERB
cana-3807	133	20	large	large	ADJ
cana-3807	133	21	-	-	PUNCT
cana-3807	133	22	scale	scale	NOUN
cana-3807	133	23	graph	graph	NOUN
cana-3807	133	24	algorithms	algorithm	NOUN
cana-3807	133	25	.	.	PUNCT
cana-3807	134	1	research	research	NOUN
cana-3807	134	2	gaps	gap	VERB
cana-3807	134	3	the	the	DET
cana-3807	134	4	following	follow	VERB
cana-3807	134	5	research	research	NOUN
cana-3807	134	6	gaps	gap	NOUN
cana-3807	134	7	have	have	AUX
cana-3807	134	8	been	be	AUX
cana-3807	134	9	found	find	VERB
cana-3807	134	10	:	:	PUNCT
cana-3807	134	11	•	•	NUM
cana-3807	134	12	limited	limited	ADJ
cana-3807	134	13	integration	integration	NOUN
cana-3807	134	14	of	of	ADP
cana-3807	134	15	multi	multi	ADJ
cana-3807	134	16	-	-	ADJ
cana-3807	134	17	optimization	optimization	ADJ
cana-3807	134	18	techniques	technique	NOUN
cana-3807	134	19	:	:	PUNCT
cana-3807	134	20	although	although	SCONJ
cana-3807	134	21	heuristic	heuristic	ADJ
cana-3807	134	22	,	,	PUNCT
cana-3807	134	23	metaheuristic	metaheuristic	ADJ
cana-3807	134	24	,	,	PUNCT
cana-3807	134	25	and	and	CCONJ
cana-3807	134	26	partitioning	partition	VERB
cana-3807	134	27	techniques	technique	NOUN
cana-3807	134	28	were	be	AUX
cana-3807	134	29	examined	examine	VERB
cana-3807	134	30	separately	separately	ADV
cana-3807	134	31	in	in	ADP
cana-3807	134	32	a	a	DET
cana-3807	134	33	number	number	NOUN
cana-3807	134	34	of	of	ADP
cana-3807	134	35	studies	study	NOUN
cana-3807	134	36	,	,	PUNCT
cana-3807	134	37	there	there	PRON
cana-3807	134	38	are	be	VERB
cana-3807	134	39	n't	not	PART
cana-3807	134	40	many	many	ADJ
cana-3807	134	41	integrated	integrated	ADJ
cana-3807	134	42	frameworks	framework	NOUN
cana-3807	134	43	that	that	PRON
cana-3807	134	44	bring	bring	VERB
cana-3807	134	45	these	these	DET
cana-3807	134	46	strategies	strategy	NOUN
cana-3807	134	47	together	together	ADV
cana-3807	134	48	for	for	ADP
cana-3807	134	49	better	well	ADJ
cana-3807	134	50	optimisation	optimisation	NOUN
cana-3807	134	51	in	in	ADP
cana-3807	134	52	large	large	ADJ
cana-3807	134	53	-	-	PUNCT
cana-3807	134	54	scale	scale	NOUN
cana-3807	134	55	networks	network	NOUN
cana-3807	134	56	.	.	PUNCT
cana-3807	135	1	•	•	NUM
cana-3807	135	2	scalability	scalability	NOUN
cana-3807	135	3	in	in	ADP
cana-3807	135	4	changing	change	VERB
cana-3807	135	5	and	and	CCONJ
cana-3807	135	6	dynamic	dynamic	ADJ
cana-3807	135	7	networks	network	NOUN
cana-3807	135	8	:	:	PUNCT
cana-3807	135	9	the	the	DET
cana-3807	135	10	majority	majority	NOUN
cana-3807	135	11	of	of	ADP
cana-3807	135	12	optimisation	optimisation	NOUN
cana-3807	135	13	methods	method	NOUN
cana-3807	135	14	are	be	AUX
cana-3807	135	15	designed	design	VERB
cana-3807	135	16	for	for	ADP
cana-3807	135	17	networks	network	NOUN
cana-3807	135	18	that	that	PRON
cana-3807	135	19	are	be	AUX
cana-3807	135	20	static	static	ADJ
cana-3807	135	21	.	.	PUNCT
cana-3807	136	1	in	in	ADP
cana-3807	136	2	order	order	NOUN
cana-3807	136	3	to	to	PART
cana-3807	136	4	create	create	VERB
cana-3807	136	5	adaptive	adaptive	ADJ
cana-3807	136	6	algorithms	algorithm	NOUN
cana-3807	136	7	that	that	PRON
cana-3807	136	8	can	can	AUX
cana-3807	136	9	effectively	effectively	ADV
cana-3807	136	10	manage	manage	VERB
cana-3807	136	11	real	real	ADJ
cana-3807	136	12	-	-	PUNCT
cana-3807	136	13	time	time	NOUN
cana-3807	136	14	updates	update	NOUN
cana-3807	136	15	in	in	ADP
cana-3807	136	16	dynamic	dynamic	ADJ
cana-3807	136	17	or	or	CCONJ
cana-3807	136	18	changing	change	VERB
cana-3807	136	19	large	large	ADJ
cana-3807	136	20	-	-	PUNCT
cana-3807	136	21	scale	scale	NOUN
cana-3807	136	22	networks	network	NOUN
cana-3807	136	23	,	,	PUNCT
cana-3807	136	24	there	there	PRON
cana-3807	136	25	is	be	VERB
cana-3807	136	26	a	a	DET
cana-3807	136	27	substantial	substantial	ADJ
cana-3807	136	28	research	research	NOUN
cana-3807	136	29	gap	gap	NOUN
cana-3807	136	30	.	.	PUNCT
cana-3807	137	1	•	•	NUM
cana-3807	137	2	managing	managing	NOUN
cana-3807	137	3	accuracy	accuracy	NOUN
cana-3807	137	4	and	and	CCONJ
cana-3807	137	5	efficiency	efficiency	NOUN
cana-3807	137	6	in	in	ADP
cana-3807	137	7	big	big	ADJ
cana-3807	137	8	datasets	dataset	NOUN
cana-3807	137	9	:	:	PUNCT
cana-3807	137	10	while	while	SCONJ
cana-3807	137	11	many	many	ADJ
cana-3807	137	12	current	current	ADJ
cana-3807	137	13	methods	method	NOUN
cana-3807	137	14	focus	focus	VERB
cana-3807	137	15	on	on	ADP
cana-3807	137	16	either	either	PRON
cana-3807	137	17	accuracy	accuracy	NOUN
cana-3807	137	18	or	or	CCONJ
cana-3807	137	19	computational	computational	ADJ
cana-3807	137	20	efficiency	efficiency	NOUN
cana-3807	137	21	,	,	PUNCT
cana-3807	137	22	few	few	ADJ
cana-3807	137	23	frameworks	framework	NOUN
cana-3807	137	24	manage	manage	VERB
cana-3807	137	25	these	these	DET
cana-3807	137	26	two	two	NUM
cana-3807	137	27	crucial	crucial	ADJ
cana-3807	137	28	factors	factor	NOUN
cana-3807	137	29	in	in	ADP
cana-3807	137	30	large	large	ADJ
cana-3807	137	31	-	-	PUNCT
cana-3807	137	32	scale	scale	NOUN
cana-3807	137	33	graph	graph	NOUN
cana-3807	137	34	networks	network	NOUN
cana-3807	137	35	.	.	PUNCT
cana-3807	138	1	•	•	NUM
cana-3807	138	2	real	real	ADJ
cana-3807	138	3	-	-	PUNCT
cana-3807	138	4	world	world	NOUN
cana-3807	138	5	validation	validation	NOUN
cana-3807	138	6	across	across	ADP
cana-3807	138	7	diverse	diverse	ADJ
cana-3807	138	8	domains	domain	NOUN
cana-3807	138	9	:	:	PUNCT
cana-3807	138	10	while	while	SCONJ
cana-3807	138	11	the	the	DET
cana-3807	138	12	algorithms	algorithm	NOUN
cana-3807	138	13	were	be	AUX
cana-3807	138	14	tested	test	VERB
cana-3807	138	15	on	on	ADP
cana-3807	138	16	datasets	dataset	NOUN
cana-3807	138	17	from	from	ADP
cana-3807	138	18	certain	certain	ADJ
cana-3807	138	19	domains	domain	NOUN
cana-3807	138	20	(	(	PUNCT
cana-3807	138	21	such	such	ADJ
cana-3807	138	22	as	as	ADP
cana-3807	138	23	transportation	transportation	NOUN
cana-3807	138	24	systems	system	NOUN
cana-3807	138	25	,	,	PUNCT
cana-3807	138	26	biological	biological	ADJ
cana-3807	138	27	networks	network	NOUN
cana-3807	138	28	,	,	PUNCT
cana-3807	138	29	or	or	CCONJ
cana-3807	138	30	social	social	ADJ
cana-3807	138	31	networks	network	NOUN
cana-3807	138	32	)	)	PUNCT
cana-3807	138	33	,	,	PUNCT
cana-3807	138	34	there	there	PRON
cana-3807	138	35	is	be	VERB
cana-3807	138	36	n't	not	PART
cana-3807	138	37	much	much	ADJ
cana-3807	138	38	cross	cross	ADJ
cana-3807	138	39	-	-	ADJ
cana-3807	138	40	domain	domain	ADJ
cana-3807	138	41	validation	validation	NOUN
cana-3807	138	42	to	to	PART
cana-3807	138	43	guarantee	guarantee	VERB
cana-3807	138	44	the	the	DET
cana-3807	138	45	algorithms	algorithm	NOUN
cana-3807	138	46	'	'	PART
cana-3807	138	47	resilience	resilience	NOUN
cana-3807	138	48	and	and	CCONJ
cana-3807	138	49	adaptability	adaptability	NOUN
cana-3807	138	50	.	.	PUNCT
cana-3807	139	1	•	•	NUM
cana-3807	139	2	underutilisation	underutilisation	NOUN
cana-3807	139	3	of	of	ADP
cana-3807	139	4	advanced	advanced	ADJ
cana-3807	139	5	machine	machine	NOUN
cana-3807	139	6	learning	learn	VERB
cana-3807	139	7	techniques	technique	NOUN
cana-3807	139	8	:	:	PUNCT
cana-3807	139	9	graph	graph	NOUN
cana-3807	139	10	optimisation	optimisation	NOUN
cana-3807	139	11	has	have	AUX
cana-3807	139	12	demonstrated	demonstrate	VERB
cana-3807	139	13	the	the	DET
cana-3807	139	14	potential	potential	NOUN
cana-3807	139	15	of	of	ADP
cana-3807	139	16	machine	machine	NOUN
cana-3807	139	17	learning	learning	NOUN
cana-3807	139	18	models	model	NOUN
cana-3807	139	19	,	,	PUNCT
cana-3807	139	20	but	but	CCONJ
cana-3807	139	21	their	their	PRON
cana-3807	139	22	integration	integration	NOUN
cana-3807	139	23	is	be	AUX
cana-3807	139	24	still	still	ADV
cana-3807	139	25	restricted	restrict	VERB
cana-3807	139	26	.	.	PUNCT
cana-3807	140	1	it	it	PRON
cana-3807	140	2	may	may	AUX
cana-3807	140	3	be	be	AUX
cana-3807	140	4	possible	possible	ADJ
cana-3807	140	5	to	to	PART
cana-3807	140	6	investigate	investigate	VERB
cana-3807	140	7	hybrid	hybrid	ADJ
cana-3807	140	8	strategies	strategy	NOUN
cana-3807	140	9	that	that	PRON
cana-3807	140	10	combine	combine	VERB
cana-3807	140	11	sophisticated	sophisticated	ADJ
cana-3807	140	12	neural	neural	ADJ
cana-3807	140	13	networks	network	NOUN
cana-3807	140	14	,	,	PUNCT
cana-3807	140	15	ai	ai	NOUN
cana-3807	140	16	-	-	PUNCT
cana-3807	140	17	based	base	VERB
cana-3807	140	18	optimisation	optimisation	NOUN
cana-3807	140	19	models	model	NOUN
cana-3807	140	20	,	,	PUNCT
cana-3807	140	21	and	and	CCONJ
cana-3807	140	22	graph	graph	NOUN
cana-3807	140	23	algorithms	algorithm	NOUN
cana-3807	140	24	.	.	PUNCT
cana-3807	141	1	iii	iii	X
cana-3807	141	2	.	.	PROPN
cana-3807	141	3	methodology	methodology	PROPN
cana-3807	141	4	a.	a.	PROPN
cana-3807	141	5	betweenness	betweenness	PROPN
cana-3807	141	6	centrality	centrality	NOUN
cana-3807	141	7	by	by	ADP
cana-3807	141	8	identifying	identify	VERB
cana-3807	141	9	significant	significant	ADJ
cana-3807	141	10	nodes	node	NOUN
cana-3807	141	11	in	in	ADP
cana-3807	141	12	networks	network	NOUN
cana-3807	141	13	,	,	PUNCT
cana-3807	141	14	this	this	DET
cana-3807	141	15	metric	metric	ADJ
cana-3807	141	16	enhances	enhance	VERB
cana-3807	141	17	influence	influence	NOUN
cana-3807	141	18	analysis	analysis	NOUN
cana-3807	141	19	or	or	CCONJ
cana-3807	141	20	graph	graph	NOUN
cana-3807	141	21	-	-	PUNCT
cana-3807	141	22	based	base	VERB
cana-3807	141	23	ranking	ranking	NOUN
cana-3807	141	24	.	.	PUNCT
cana-3807	142	1	communications	communication	NOUN
cana-3807	142	2	on	on	ADP
cana-3807	142	3	applied	apply	VERB
cana-3807	142	4	nonlinear	nonlinear	ADJ
cana-3807	142	5	analysis	analysis	NOUN
cana-3807	142	6	issn	issn	NOUN
cana-3807	142	7	:	:	PUNCT
cana-3807	142	8	1074	1074	NUM
cana-3807	142	9	-	-	PUNCT
cana-3807	142	10	133x	133x	NUM
cana-3807	142	11	vol	vol	NOUN
cana-3807	142	12	32	32	NUM
cana-3807	142	13	no	no	NOUN
cana-3807	142	14	.	.	PUNCT
cana-3807	143	1	8s	8s	PROPN
cana-3807	143	2	(	(	PUNCT
cana-3807	143	3	2025	2025	NUM
cana-3807	143	4	)	)	PUNCT
cana-3807	143	5	768	768	NUM
cana-3807	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3807	143	7	𝐶𝐵(𝑣	𝐶𝐵(𝑣	NOUN
cana-3807	143	8	)	)	PUNCT
cana-3807	143	9	=	=	PUNCT
cana-3807	143	10	∑	∑	PUNCT
cana-3807	143	11	𝜎𝑠𝑡(𝑣	𝜎𝑠𝑡(𝑣	X
cana-3807	143	12	)	)	PUNCT
cana-3807	143	13	𝜎𝑠𝑡	𝜎𝑠𝑡	NOUN
cana-3807	143	14	𝑠	𝑠	PROPN
cana-3807	143	15	≠𝑣	≠𝑣	PROPN
cana-3807	143	16	≠	≠	PROPN
cana-3807	143	17	𝑡	𝑡	PROPN
cana-3807	143	18	(	(	PUNCT
cana-3807	143	19	1	1	NUM
cana-3807	143	20	)	)	PUNCT
cana-3807	143	21	where	where	SCONJ
cana-3807	143	22	,	,	PUNCT
cana-3807	143	23	cb(v	cb(v	NOUN
cana-3807	143	24	):	):	PUNCT
cana-3807	143	25	betweenness	betweenness	NOUN
cana-3807	143	26	centrality	centrality	NOUN
cana-3807	143	27	of	of	ADP
cana-3807	143	28	vertex	vertex	NOUN
cana-3807	143	29	v	v	ADP
cana-3807	143	30	𝜎𝑠𝑡	𝜎𝑠𝑡	NOUN
cana-3807	143	31	:	:	PUNCT
cana-3807	143	32	total	total	ADJ
cana-3807	143	33	shortest	short	ADJ
cana-3807	143	34	paths	path	NOUN
cana-3807	143	35	𝜎𝑠𝑡(𝑣	𝜎𝑠𝑡(𝑣	NOUN
cana-3807	143	36	):	):	PUNCT
cana-3807	143	37	paths	path	NOUN
cana-3807	143	38	passing	pass	VERB
cana-3807	143	39	through	through	ADP
cana-3807	143	40	v.	v.	ADP
cana-3807	143	41	b.	b.	PROPN
cana-3807	143	42	shortest	shortest	PROPN
cana-3807	143	43	path	path	NOUN
cana-3807	143	44	(	(	PUNCT
cana-3807	143	45	bellman	bellman	NOUN
cana-3807	143	46	-	-	PUNCT
cana-3807	143	47	ford	ford	PROPN
cana-3807	143	48	algorithm	algorithm	NOUN
cana-3807	143	49	)	)	PUNCT
cana-3807	143	50	this	this	DET
cana-3807	143	51	formula	formula	NOUN
cana-3807	143	52	,	,	PUNCT
cana-3807	143	53	which	which	PRON
cana-3807	143	54	is	be	AUX
cana-3807	143	55	essential	essential	ADJ
cana-3807	143	56	for	for	ADP
cana-3807	143	57	navigation	navigation	NOUN
cana-3807	143	58	systems	system	NOUN
cana-3807	143	59	and	and	CCONJ
cana-3807	143	60	route	route	NOUN
cana-3807	143	61	optimisation	optimisation	NOUN
cana-3807	143	62	,	,	PUNCT
cana-3807	143	63	determines	determine	VERB
cana-3807	143	64	the	the	DET
cana-3807	143	65	shortest	short	ADJ
cana-3807	143	66	path	path	NOUN
cana-3807	143	67	in	in	ADP
cana-3807	143	68	weighted	weighted	ADJ
cana-3807	143	69	graphs	graph	NOUN
cana-3807	143	70	.	.	PUNCT
cana-3807	144	1	𝑑[𝑣	𝑑[𝑣	NOUN
cana-3807	144	2	]	]	PUNCT
cana-3807	144	3	=	=	SYM
cana-3807	144	4	𝑚𝑖𝑛(𝑑[𝑣	𝑚𝑖𝑛(𝑑[𝑣	NUM
cana-3807	144	5	]	]	PUNCT
cana-3807	144	6	,	,	PUNCT
cana-3807	144	7	𝑑[𝑢	𝑑[𝑢	NOUN
cana-3807	144	8	]	]	X
cana-3807	144	9	+	+	PUNCT
cana-3807	144	10	𝑤(𝑢	𝑤(𝑢	ADJ
cana-3807	144	11	,	,	PUNCT
cana-3807	144	12	𝑣	𝑣	NOUN
cana-3807	144	13	)	)	PUNCT
cana-3807	144	14	)	)	PUNCT
cana-3807	144	15	(	(	PUNCT
cana-3807	144	16	2	2	X
cana-3807	144	17	)	)	PUNCT
cana-3807	144	18	where	where	SCONJ
cana-3807	144	19	,	,	PUNCT
cana-3807	144	20	d[v	d[v	PROPN
cana-3807	144	21	]	]	PUNCT
cana-3807	144	22	:	:	PUNCT
cana-3807	144	23	distance	distance	NOUN
cana-3807	144	24	to	to	PART
cana-3807	144	25	vertex	vertex	VERB
cana-3807	144	26	v	v	ADP
cana-3807	144	27	w(u	w(u	PROPN
cana-3807	144	28	,	,	PUNCT
cana-3807	144	29	v	v	NOUN
cana-3807	144	30	):	):	PUNCT
cana-3807	144	31	edge	edge	NOUN
cana-3807	144	32	weight	weight	NOUN
cana-3807	144	33	.	.	PUNCT
cana-3807	145	1	c.	c.	PROPN
cana-3807	145	2	laplacian	laplacian	PROPN
cana-3807	145	3	eigenvalue	eigenvalue	PROPN
cana-3807	145	4	problem	problem	NOUN
cana-3807	145	5	through	through	ADP
cana-3807	145	6	the	the	DET
cana-3807	145	7	eigenvalues	eigenvalue	NOUN
cana-3807	145	8	of	of	ADP
cana-3807	145	9	the	the	DET
cana-3807	145	10	laplacian	laplacian	ADJ
cana-3807	145	11	matrix	matrix	NOUN
cana-3807	145	12	,	,	PUNCT
cana-3807	145	13	this	this	DET
cana-3807	145	14	equation	equation	NOUN
cana-3807	145	15	—	—	PUNCT
cana-3807	145	16	which	which	PRON
cana-3807	145	17	is	be	AUX
cana-3807	145	18	essential	essential	ADJ
cana-3807	145	19	to	to	ADP
cana-3807	145	20	spectral	spectral	ADJ
cana-3807	145	21	graph	graph	NOUN
cana-3807	145	22	algorithms	algorithm	NOUN
cana-3807	145	23	—	—	PUNCT
cana-3807	145	24	allows	allow	VERB
cana-3807	145	25	for	for	ADP
cana-3807	145	26	community	community	NOUN
cana-3807	145	27	detection	detection	NOUN
cana-3807	145	28	and	and	CCONJ
cana-3807	145	29	grouping	grouping	NOUN
cana-3807	145	30	.	.	PUNCT
cana-3807	146	1	𝐿𝑥	𝐿𝑥	NOUN
cana-3807	146	2	=	=	SYM
cana-3807	146	3	𝜆𝑥	𝜆𝑥	NOUN
cana-3807	146	4	(	(	PUNCT
cana-3807	146	5	3	3	NUM
cana-3807	146	6	)	)	PUNCT
cana-3807	146	7	where	where	SCONJ
cana-3807	146	8	,	,	PUNCT
cana-3807	146	9	l	l	NOUN
cana-3807	146	10	:	:	PUNCT
cana-3807	146	11	graph	graph	NOUN
cana-3807	146	12	laplacian	laplacian	ADJ
cana-3807	146	13	matrix	matrix	NOUN
cana-3807	146	14	,	,	PUNCT
cana-3807	146	15	λ	λ	NOUN
cana-3807	146	16	:	:	PUNCT
cana-3807	146	17	eigenvalue	eigenvalue	NOUN
cana-3807	146	18	,	,	PUNCT
cana-3807	146	19	x	x	NOUN
cana-3807	146	20	:	:	PUNCT
cana-3807	146	21	eigenvector	eigenvector	PROPN
cana-3807	146	22	.	.	PROPN
cana-3807	146	23	d.	d.	PROPN
cana-3807	146	24	gradient	gradient	PROPN
cana-3807	146	25	descent	descent	PROPN
cana-3807	146	26	update	update	NOUN
cana-3807	146	27	rule	rule	NOUN
cana-3807	146	28	in	in	ADP
cana-3807	146	29	order	order	NOUN
cana-3807	146	30	to	to	PART
cana-3807	146	31	minimise	minimise	VERB
cana-3807	146	32	the	the	DET
cana-3807	146	33	graph	graph	NOUN
cana-3807	146	34	optimisation	optimisation	NOUN
cana-3807	146	35	objective	objective	ADJ
cana-3807	146	36	function	function	NOUN
cana-3807	146	37	,	,	PUNCT
cana-3807	146	38	this	this	DET
cana-3807	146	39	equation	equation	NOUN
cana-3807	146	40	iteratively	iteratively	ADV
cana-3807	146	41	updates	update	VERB
cana-3807	146	42	the	the	DET
cana-3807	146	43	solution	solution	NOUN
cana-3807	146	44	by	by	ADP
cana-3807	146	45	travelling	travel	VERB
cana-3807	146	46	in	in	ADP
cana-3807	146	47	the	the	DET
cana-3807	146	48	direction	direction	NOUN
cana-3807	146	49	of	of	ADP
cana-3807	146	50	the	the	DET
cana-3807	146	51	negative	negative	ADJ
cana-3807	146	52	gradient	gradient	NOUN
cana-3807	146	53	.	.	PUNCT
cana-3807	147	1	for	for	ADP
cana-3807	147	2	tasks	task	NOUN
cana-3807	147	3	like	like	ADP
cana-3807	147	4	graph	graph	NOUN
cana-3807	147	5	clustering	clustering	NOUN
cana-3807	147	6	and	and	CCONJ
cana-3807	147	7	shortest	short	ADJ
cana-3807	147	8	path	path	NOUN
cana-3807	147	9	,	,	PUNCT
cana-3807	147	10	it	it	PRON
cana-3807	147	11	is	be	AUX
cana-3807	147	12	especially	especially	ADV
cana-3807	147	13	helpful	helpful	ADJ
cana-3807	147	14	.	.	PUNCT
cana-3807	148	1	𝑥𝑘+1	𝑥𝑘+1	NOUN
cana-3807	148	2	=	=	SYM
cana-3807	148	3	𝑥𝑘	𝑥𝑘	X
cana-3807	148	4	−	−	NOUN
cana-3807	148	5	𝜂𝛻𝑓(𝑥𝑘	𝜂𝛻𝑓(𝑥𝑘	PROPN
cana-3807	148	6	)	)	PUNCT
cana-3807	148	7	(	(	PUNCT
cana-3807	148	8	4	4	X
cana-3807	148	9	)	)	PUNCT
cana-3807	148	10	where	where	SCONJ
cana-3807	148	11	,	,	PUNCT
cana-3807	148	12	𝑥𝑘	𝑥𝑘	PROPN
cana-3807	148	13	:	:	PUNCT
cana-3807	148	14	current	current	ADJ
cana-3807	148	15	solution	solution	NOUN
cana-3807	148	16	,	,	PUNCT
cana-3807	148	17	𝛻𝑓(𝑥𝑘	𝛻𝑓(𝑥𝑘	NOUN
cana-3807	148	18	):	):	PUNCT
cana-3807	148	19	gradient	gradient	NOUN
cana-3807	148	20	of	of	ADP
cana-3807	148	21	the	the	DET
cana-3807	148	22	function	function	NOUN
cana-3807	148	23	at	at	ADP
cana-3807	148	24	𝑥𝑘	𝑥𝑘	PROPN
cana-3807	148	25	,	,	PUNCT
cana-3807	148	26	η	η	PROPN
cana-3807	148	27	:	:	PUNCT
cana-3807	148	28	learning	learn	VERB
cana-3807	148	29	rate	rate	NOUN
cana-3807	148	30	.	.	PUNCT
cana-3807	149	1	iv	iv	X
cana-3807	149	2	.	.	PUNCT
cana-3807	149	3	results	result	NOUN
cana-3807	149	4	and	and	CCONJ
cana-3807	149	5	discussions	discussion	NOUN
cana-3807	149	6	a.	a.	NOUN
cana-3807	149	7	impact	impact	NOUN
cana-3807	149	8	of	of	ADP
cana-3807	149	9	shrm	shrm	PROPN
cana-3807	149	10	practices	practice	NOUN
cana-3807	149	11	on	on	ADP
cana-3807	149	12	key	key	ADJ
cana-3807	149	13	supply	supply	NOUN
cana-3807	149	14	chain	chain	NOUN
cana-3807	149	15	integration	integration	NOUN
cana-3807	149	16	metrics	metric	NOUN
cana-3807	149	17	five	five	NUM
cana-3807	149	18	graph	graph	NOUN
cana-3807	149	19	algorithms	algorithm	NOUN
cana-3807	149	20	(	(	PUNCT
cana-3807	149	21	dijkstra	dijkstra	PROPN
cana-3807	149	22	,	,	PUNCT
cana-3807	149	23	a	a	PRON
cana-3807	149	24	*	*	ADJ
cana-3807	149	25	,	,	PUNCT
cana-3807	149	26	bellman	bellman	NOUN
cana-3807	149	27	-	-	PUNCT
cana-3807	149	28	ford	ford	PROPN
cana-3807	149	29	,	,	PUNCT
cana-3807	149	30	floyd	floyd	NOUN
cana-3807	149	31	-	-	PUNCT
cana-3807	149	32	warshall	warshall	NOUN
cana-3807	149	33	,	,	PUNCT
cana-3807	149	34	and	and	CCONJ
cana-3807	149	35	a	a	DET
cana-3807	149	36	proposed	propose	VERB
cana-3807	149	37	model	model	NOUN
cana-3807	149	38	)	)	PUNCT
cana-3807	149	39	are	be	AUX
cana-3807	149	40	compared	compare	VERB
cana-3807	149	41	in	in	ADP
cana-3807	149	42	figure	figure	NOUN
cana-3807	149	43	3	3	NUM
cana-3807	149	44	based	base	VERB
cana-3807	149	45	on	on	ADP
cana-3807	149	46	three	three	NUM
cana-3807	149	47	important	important	ADJ
cana-3807	149	48	metrics	metric	NOUN
cana-3807	149	49	:	:	PUNCT
cana-3807	149	50	average	average	ADJ
cana-3807	149	51	execution	execution	NOUN
cana-3807	149	52	time	time	NOUN
cana-3807	149	53	(	(	PUNCT
cana-3807	149	54	ms	ms	NOUN
cana-3807	149	55	)	)	PUNCT
cana-3807	149	56	,	,	PUNCT
cana-3807	149	57	memory	memory	NOUN
cana-3807	149	58	usage	usage	NOUN
cana-3807	149	59	(	(	PUNCT
cana-3807	149	60	mb	mb	NOUN
cana-3807	149	61	)	)	PUNCT
cana-3807	149	62	,	,	PUNCT
cana-3807	149	63	and	and	CCONJ
cana-3807	149	64	accuracy	accuracy	NOUN
cana-3807	149	65	(	(	PUNCT
cana-3807	149	66	%	%	NOUN
cana-3807	149	67	)	)	PUNCT
cana-3807	149	68	.	.	PUNCT
cana-3807	150	1	with	with	ADP
cana-3807	150	2	the	the	DET
cana-3807	150	3	lowest	low	ADJ
cana-3807	150	4	execution	execution	NOUN
cana-3807	150	5	time	time	NOUN
cana-3807	150	6	(	(	PUNCT
cana-3807	150	7	1500	1500	NUM
cana-3807	150	8	ms	ms	NOUN
cana-3807	150	9	)	)	PUNCT
cana-3807	150	10	and	and	CCONJ
cana-3807	150	11	the	the	DET
cana-3807	150	12	least	least	ADJ
cana-3807	150	13	amount	amount	NOUN
cana-3807	150	14	of	of	ADP
cana-3807	150	15	memory	memory	NOUN
cana-3807	150	16	(	(	PUNCT
cana-3807	150	17	400	400	NUM
cana-3807	150	18	mb	mb	NOUN
cana-3807	150	19	)	)	PUNCT
cana-3807	150	20	,	,	PUNCT
cana-3807	150	21	the	the	DET
cana-3807	150	22	proposed	propose	VERB
cana-3807	150	23	model	model	NOUN
cana-3807	150	24	surpasses	surpass	VERB
cana-3807	150	25	the	the	DET
cana-3807	150	26	conventional	conventional	ADJ
cana-3807	150	27	algorithms	algorithm	NOUN
cana-3807	150	28	and	and	CCONJ
cana-3807	150	29	achieves	achieve	VERB
cana-3807	150	30	the	the	DET
cana-3807	150	31	highest	high	ADJ
cana-3807	150	32	accuracy	accuracy	NOUN
cana-3807	150	33	(	(	PUNCT
cana-3807	150	34	94	94	NUM
cana-3807	150	35	%	%	NOUN
cana-3807	150	36	)	)	PUNCT
cana-3807	150	37	.	.	PUNCT
cana-3807	151	1	floyd	floyd	PROPN
cana-3807	151	2	-	-	PUNCT
cana-3807	151	3	warshall	warshall	PROPN
cana-3807	151	4	,	,	PUNCT
cana-3807	151	5	on	on	ADP
cana-3807	151	6	the	the	DET
cana-3807	151	7	other	other	ADJ
cana-3807	151	8	hand	hand	NOUN
cana-3807	151	9	,	,	PUNCT
cana-3807	151	10	has	have	VERB
cana-3807	151	11	the	the	DET
cana-3807	151	12	largest	large	ADJ
cana-3807	151	13	execution	execution	NOUN
cana-3807	151	14	time	time	NOUN
cana-3807	151	15	(	(	PUNCT
cana-3807	151	16	4500	4500	NUM
cana-3807	151	17	ms	ms	NOUN
cana-3807	151	18	)	)	PUNCT
cana-3807	151	19	and	and	CCONJ
cana-3807	151	20	memory	memory	NOUN
cana-3807	151	21	usage	usage	NOUN
cana-3807	151	22	(	(	PUNCT
cana-3807	151	23	700	700	NUM
cana-3807	151	24	mb	mb	NOUN
cana-3807	151	25	)	)	PUNCT
cana-3807	151	26	,	,	PUNCT
cana-3807	151	27	although	although	SCONJ
cana-3807	151	28	its	its	PRON
cana-3807	151	29	accuracy	accuracy	NOUN
cana-3807	151	30	is	be	AUX
cana-3807	151	31	only	only	ADV
cana-3807	151	32	modest	modest	ADJ
cana-3807	151	33	(	(	PUNCT
cana-3807	151	34	88	88	NUM
cana-3807	151	35	%	%	NOUN
cana-3807	151	36	)	)	PUNCT
cana-3807	151	37	.	.	PUNCT
cana-3807	152	1	in	in	ADP
cana-3807	152	2	a	a	DET
cana-3807	152	3	similar	similar	ADJ
cana-3807	152	4	vein	vein	NOUN
cana-3807	152	5	,	,	PUNCT
cana-3807	152	6	bellman	bellman	PROPN
cana-3807	152	7	-	-	PUNCT
cana-3807	152	8	ford	ford	PROPN
cana-3807	152	9	exhibits	exhibit	VERB
cana-3807	152	10	subpar	subpar	ADJ
cana-3807	152	11	memory	memory	NOUN
cana-3807	152	12	and	and	CCONJ
cana-3807	152	13	execution	execution	NOUN
cana-3807	152	14	time	time	NOUN
cana-3807	152	15	.	.	PUNCT
cana-3807	153	1	a	a	DET
cana-3807	153	2	*	*	PUNCT
cana-3807	153	3	still	still	ADV
cana-3807	153	4	lags	lag	VERB
cana-3807	153	5	behind	behind	ADP
cana-3807	153	6	the	the	DET
cana-3807	153	7	proposed	propose	VERB
cana-3807	153	8	model	model	NOUN
cana-3807	153	9	even	even	ADV
cana-3807	153	10	if	if	SCONJ
cana-3807	153	11	it	it	PRON
cana-3807	153	12	outperforms	outperform	VERB
cana-3807	153	13	dijkstra	dijkstra	ADJ
cana-3807	153	14	and	and	CCONJ
cana-3807	153	15	bellman	bellman	NOUN
cana-3807	153	16	-	-	PUNCT
cana-3807	153	17	ford	ford	PROPN
cana-3807	153	18	in	in	ADP
cana-3807	153	19	terms	term	NOUN
cana-3807	153	20	of	of	ADP
cana-3807	153	21	memory	memory	NOUN
cana-3807	153	22	and	and	CCONJ
cana-3807	153	23	execution	execution	NOUN
cana-3807	153	24	time	time	NOUN
cana-3807	153	25	.	.	PUNCT
cana-3807	154	1	communications	communication	NOUN
cana-3807	154	2	on	on	ADP
cana-3807	154	3	applied	apply	VERB
cana-3807	154	4	nonlinear	nonlinear	ADJ
cana-3807	154	5	analysis	analysis	NOUN
cana-3807	154	6	issn	issn	NOUN
cana-3807	154	7	:	:	PUNCT
cana-3807	154	8	1074	1074	NUM
cana-3807	154	9	-	-	PUNCT
cana-3807	154	10	133x	133x	NUM
cana-3807	154	11	vol	vol	NOUN
cana-3807	154	12	32	32	NUM
cana-3807	154	13	no	no	NOUN
cana-3807	154	14	.	.	PUNCT
cana-3807	155	1	8s	8s	PROPN
cana-3807	155	2	(	(	PUNCT
cana-3807	155	3	2025	2025	NUM
cana-3807	155	4	)	)	PUNCT
cana-3807	155	5	769	769	NUM
cana-3807	155	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3807	155	7	fig	fig	NOUN
cana-3807	155	8	.	.	PUNCT
cana-3807	156	1	3	3	NUM
cana-3807	156	2	:	:	PUNCT
cana-3807	156	3	comparison	comparison	NOUN
cana-3807	156	4	of	of	ADP
cana-3807	156	5	algorithm	algorithm	NOUN
cana-3807	156	6	performance	performance	NOUN
cana-3807	156	7	on	on	ADP
cana-3807	156	8	large	large	ADJ
cana-3807	156	9	-	-	PUNCT
cana-3807	156	10	scale	scale	NOUN
cana-3807	156	11	networks	network	NOUN
cana-3807	156	12	this	this	DET
cana-3807	156	13	figure	figure	NOUN
cana-3807	156	14	unequivocally	unequivocally	ADV
cana-3807	156	15	shows	show	VERB
cana-3807	156	16	that	that	SCONJ
cana-3807	156	17	the	the	DET
cana-3807	156	18	proposed	propose	VERB
cana-3807	156	19	model	model	NOUN
cana-3807	156	20	is	be	AUX
cana-3807	156	21	well	well	ADV
cana-3807	156	22	-	-	PUNCT
cana-3807	156	23	suited	suit	VERB
cana-3807	156	24	for	for	ADP
cana-3807	156	25	large	large	ADJ
cana-3807	156	26	-	-	PUNCT
cana-3807	156	27	scale	scale	NOUN
cana-3807	156	28	network	network	NOUN
cana-3807	156	29	research	research	NOUN
cana-3807	156	30	jobs	job	NOUN
cana-3807	156	31	since	since	SCONJ
cana-3807	156	32	it	it	PRON
cana-3807	156	33	provides	provide	VERB
cana-3807	156	34	notable	notable	ADJ
cana-3807	156	35	gains	gain	NOUN
cana-3807	156	36	in	in	ADP
cana-3807	156	37	computing	computing	NOUN
cana-3807	156	38	efficiency	efficiency	NOUN
cana-3807	156	39	,	,	PUNCT
cana-3807	156	40	resource	resource	NOUN
cana-3807	156	41	utilisation	utilisation	NOUN
cana-3807	156	42	,	,	PUNCT
cana-3807	156	43	and	and	CCONJ
cana-3807	156	44	result	result	VERB
cana-3807	156	45	accuracy	accuracy	NOUN
cana-3807	156	46	.	.	PUNCT
cana-3807	157	1	b.	b.	PROPN
cana-3807	157	2	perceived	perceive	VERB
cana-3807	157	3	benefits	benefit	NOUN
cana-3807	157	4	of	of	ADP
cana-3807	157	5	shrm	shrm	PROPN
cana-3807	157	6	on	on	ADP
cana-3807	157	7	supply	supply	NOUN
cana-3807	157	8	chain	chain	NOUN
cana-3807	157	9	integration	integration	NOUN
cana-3807	157	10	across	across	ADP
cana-3807	157	11	industries	industry	NOUN
cana-3807	157	12	the	the	DET
cana-3807	157	13	scalability	scalability	NOUN
cana-3807	157	14	analysis	analysis	NOUN
cana-3807	157	15	of	of	ADP
cana-3807	157	16	four	four	NUM
cana-3807	157	17	algorithms	algorithm	NOUN
cana-3807	157	18	—	—	PUNCT
cana-3807	157	19	the	the	DET
cana-3807	157	20	proposed	propose	VERB
cana-3807	157	21	model	model	NOUN
cana-3807	157	22	,	,	PUNCT
cana-3807	157	23	bellman	bellman	NOUN
cana-3807	157	24	-	-	PUNCT
cana-3807	157	25	ford	ford	PROPN
cana-3807	157	26	,	,	PUNCT
cana-3807	157	27	a	a	PRON
cana-3807	157	28	*	*	X
cana-3807	157	29	,	,	PUNCT
cana-3807	157	30	and	and	CCONJ
cana-3807	157	31	dijkstra	dijkstra	ADJ
cana-3807	157	32	—	—	PUNCT
cana-3807	157	33	as	as	ADP
cana-3807	157	34	the	the	DET
cana-3807	157	35	network	network	NOUN
cana-3807	157	36	size	size	NOUN
cana-3807	157	37	(	(	PUNCT
cana-3807	157	38	as	as	SCONJ
cana-3807	157	39	indicated	indicate	VERB
cana-3807	157	40	by	by	ADP
cana-3807	157	41	the	the	DET
cana-3807	157	42	number	number	NOUN
cana-3807	157	43	of	of	ADP
cana-3807	157	44	nodes	node	NOUN
cana-3807	157	45	)	)	PUNCT
cana-3807	157	46	grows	grow	VERB
cana-3807	157	47	is	be	AUX
cana-3807	157	48	shown	show	VERB
cana-3807	157	49	in	in	ADP
cana-3807	157	50	figure	figure	NOUN
cana-3807	157	51	4	4	NUM
cana-3807	157	52	.	.	PUNCT
cana-3807	158	1	although	although	SCONJ
cana-3807	158	2	each	each	DET
cana-3807	158	3	algorithm	algorithm	NOUN
cana-3807	158	4	's	's	PART
cana-3807	158	5	execution	execution	NOUN
cana-3807	158	6	times	time	NOUN
cana-3807	158	7	increase	increase	VERB
cana-3807	158	8	with	with	ADP
cana-3807	158	9	network	network	NOUN
cana-3807	158	10	size	size	NOUN
cana-3807	158	11	,	,	PUNCT
cana-3807	158	12	the	the	DET
cana-3807	158	13	proposed	propose	VERB
cana-3807	158	14	model	model	NOUN
cana-3807	158	15	continuously	continuously	ADV
cana-3807	158	16	surpasses	surpass	VERB
cana-3807	158	17	the	the	DET
cana-3807	158	18	others	other	NOUN
cana-3807	158	19	in	in	ADP
cana-3807	158	20	terms	term	NOUN
cana-3807	158	21	of	of	ADP
cana-3807	158	22	speed	speed	NOUN
cana-3807	158	23	.	.	PUNCT
cana-3807	159	1	the	the	DET
cana-3807	159	2	proposed	propose	VERB
cana-3807	159	3	model	model	NOUN
cana-3807	159	4	performs	perform	VERB
cana-3807	159	5	in	in	ADP
cana-3807	159	6	just	just	ADV
cana-3807	159	7	300	300	NUM
cana-3807	159	8	ms	ms	NOUN
cana-3807	159	9	,	,	PUNCT
cana-3807	159	10	which	which	PRON
cana-3807	159	11	is	be	AUX
cana-3807	159	12	a	a	DET
cana-3807	159	13	substantial	substantial	ADJ
cana-3807	159	14	improvement	improvement	NOUN
cana-3807	159	15	above	above	ADP
cana-3807	159	16	dijkstra	dijkstra	PROPN
cana-3807	159	17	's	's	PART
cana-3807	159	18	500	500	NUM
cana-3807	159	19	ms	ms	NOUN
cana-3807	159	20	at	at	ADP
cana-3807	159	21	a	a	DET
cana-3807	159	22	network	network	NOUN
cana-3807	159	23	size	size	NOUN
cana-3807	159	24	of	of	ADP
cana-3807	159	25	1,000	1,000	NUM
cana-3807	159	26	nodes	node	NOUN
cana-3807	159	27	.	.	PUNCT
cana-3807	160	1	dijkstra	dijkstra	PROPN
cana-3807	160	2	's	's	PART
cana-3807	160	3	execution	execution	NOUN
cana-3807	160	4	time	time	NOUN
cana-3807	160	5	rises	rise	VERB
cana-3807	160	6	to	to	ADP
cana-3807	160	7	8000	8000	NUM
cana-3807	160	8	ms	ms	NOUN
cana-3807	160	9	when	when	SCONJ
cana-3807	160	10	the	the	DET
cana-3807	160	11	network	network	NOUN
cana-3807	160	12	size	size	NOUN
cana-3807	160	13	reaches	reach	VERB
cana-3807	160	14	50,000	50,000	NUM
cana-3807	160	15	nodes	node	NOUN
cana-3807	160	16	,	,	PUNCT
cana-3807	160	17	while	while	SCONJ
cana-3807	160	18	the	the	DET
cana-3807	160	19	proposed	propose	VERB
cana-3807	160	20	model	model	NOUN
cana-3807	160	21	only	only	ADV
cana-3807	160	22	needs	need	VERB
cana-3807	160	23	5000	5000	NUM
cana-3807	160	24	ms	ms	PROPN
cana-3807	160	25	.	.	PROPN
cana-3807	160	26	similar	similar	ADJ
cana-3807	160	27	patterns	pattern	NOUN
cana-3807	160	28	may	may	AUX
cana-3807	160	29	also	also	ADV
cana-3807	160	30	be	be	AUX
cana-3807	160	31	seen	see	VERB
cana-3807	160	32	in	in	ADP
cana-3807	160	33	the	the	DET
cana-3807	160	34	a	a	PROPN
cana-3807	160	35	*	*	PUNCT
cana-3807	160	36	and	and	CCONJ
cana-3807	160	37	bellmanford	bellmanford	ADJ
cana-3807	160	38	algorithms	algorithm	NOUN
cana-3807	160	39	,	,	PUNCT
cana-3807	160	40	with	with	ADP
cana-3807	160	41	a	a	DET
cana-3807	160	42	*	*	X
cana-3807	160	43	outperforming	outperform	VERB
cana-3807	160	44	bellman	bellman	NOUN
cana-3807	160	45	-	-	PUNCT
cana-3807	160	46	ford	ford	PROPN
cana-3807	160	47	but	but	CCONJ
cana-3807	160	48	still	still	ADV
cana-3807	160	49	lagging	lag	VERB
cana-3807	160	50	behind	behind	ADP
cana-3807	160	51	the	the	DET
cana-3807	160	52	proposed	propose	VERB
cana-3807	160	53	model	model	NOUN
cana-3807	160	54	.	.	PUNCT
cana-3807	161	1	fig	fig	NOUN
cana-3807	161	2	.	.	PUNCT
cana-3807	162	1	4	4	NUM
cana-3807	162	2	:	:	PUNCT
cana-3807	162	3	log	log	NOUN
cana-3807	162	4	scale	scale	NOUN
cana-3807	162	5	of	of	ADP
cana-3807	162	6	scalability	scalability	NOUN
cana-3807	162	7	analysis	analysis	NOUN
cana-3807	162	8	of	of	ADP
cana-3807	162	9	algorithms	algorithm	NOUN
cana-3807	162	10	with	with	ADP
cana-3807	162	11	increasing	increase	VERB
cana-3807	162	12	network	network	NOUN
cana-3807	162	13	size	size	NOUN
cana-3807	162	14	this	this	DET
cana-3807	162	15	graphic	graphic	NOUN
cana-3807	162	16	demonstrates	demonstrate	VERB
cana-3807	162	17	how	how	SCONJ
cana-3807	162	18	the	the	DET
cana-3807	162	19	proposed	propose	VERB
cana-3807	162	20	model	model	NOUN
cana-3807	162	21	is	be	AUX
cana-3807	162	22	especially	especially	ADV
cana-3807	162	23	well	well	ADV
cana-3807	162	24	-	-	PUNCT
cana-3807	162	25	suited	suited	ADJ
cana-3807	162	26	to	to	ADP
cana-3807	162	27	managing	manage	VERB
cana-3807	162	28	large	large	ADJ
cana-3807	162	29	-	-	PUNCT
cana-3807	162	30	scale	scale	NOUN
cana-3807	162	31	networks	network	NOUN
cana-3807	162	32	since	since	SCONJ
cana-3807	162	33	it	it	PRON
cana-3807	162	34	scales	scale	VERB
cana-3807	162	35	more	more	ADV
cana-3807	162	36	effectively	effectively	ADV
cana-3807	162	37	with	with	ADP
cana-3807	162	38	growing	grow	VERB
cana-3807	162	39	network	network	NOUN
cana-3807	162	40	size	size	NOUN
cana-3807	162	41	.	.	PUNCT
cana-3807	163	1	c.	c.	NOUN
cana-3807	163	2	adoption	adoption	PROPN
cana-3807	163	3	levels	level	NOUN
cana-3807	163	4	of	of	ADP
cana-3807	163	5	shrm	shrm	PROPN
cana-3807	163	6	practices	practice	NOUN
cana-3807	163	7	in	in	ADP
cana-3807	163	8	supply	supply	NOUN
cana-3807	163	9	chain	chain	NOUN
cana-3807	163	10	integration	integration	NOUN
cana-3807	163	11	five	five	NUM
cana-3807	163	12	graph	graph	NOUN
cana-3807	163	13	algorithms	algorithm	NOUN
cana-3807	163	14	—	—	PUNCT
cana-3807	163	15	dijkstra	dijkstra	ADJ
cana-3807	163	16	,	,	PUNCT
cana-3807	163	17	a	a	PRON
cana-3807	163	18	*	*	ADJ
cana-3807	163	19	,	,	PUNCT
cana-3807	163	20	bellman	bellman	NOUN
cana-3807	163	21	-	-	PUNCT
cana-3807	163	22	ford	ford	PROPN
cana-3807	163	23	,	,	PUNCT
cana-3807	163	24	floyd	floyd	NOUN
cana-3807	163	25	-	-	PUNCT
cana-3807	163	26	warshall	warshall	NOUN
cana-3807	163	27	,	,	PUNCT
cana-3807	163	28	and	and	CCONJ
cana-3807	163	29	the	the	DET
cana-3807	163	30	proposed	propose	VERB
cana-3807	163	31	model	model	NOUN
cana-3807	163	32	—	—	PUNCT
cana-3807	163	33	are	be	AUX
cana-3807	163	34	compared	compare	VERB
cana-3807	163	35	in	in	ADP
cana-3807	163	36	figure	figure	NOUN
cana-3807	163	37	5	5	NUM
cana-3807	163	38	for	for	ADP
cana-3807	163	39	resource	resource	NOUN
cana-3807	163	40	utilisation	utilisation	NOUN
cana-3807	163	41	efficiency	efficiency	NOUN
cana-3807	163	42	based	base	VERB
cana-3807	163	43	on	on	ADP
cana-3807	163	44	three	three	NUM
cana-3807	163	45	crucial	crucial	ADJ
cana-3807	163	46	variables	variable	NOUN
cana-3807	163	47	:	:	PUNCT
cana-3807	163	48	cpu	cpu	NOUN
cana-3807	163	49	usage	usage	NOUN
cana-3807	163	50	(	(	PUNCT
cana-3807	163	51	%	%	NOUN
cana-3807	163	52	)	)	PUNCT
cana-3807	163	53	,	,	PUNCT
cana-3807	163	54	gpu	gpu	NOUN
cana-3807	163	55	acceleration	acceleration	NOUN
cana-3807	163	56	(	(	PUNCT
cana-3807	163	57	%	%	NOUN
cana-3807	163	58	)	)	PUNCT
cana-3807	163	59	,	,	PUNCT
cana-3807	163	60	and	and	CCONJ
cana-3807	163	61	power	power	NOUN
cana-3807	163	62	consumption	consumption	NOUN
cana-3807	163	63	(	(	PUNCT
cana-3807	163	64	w	w	NOUN
cana-3807	163	65	)	)	PUNCT
cana-3807	163	66	.	.	PUNCT
cana-3807	164	1	with	with	ADP
cana-3807	164	2	a	a	DET
cana-3807	164	3	cpu	cpu	ADJ
cana-3807	164	4	utilisation	utilisation	NOUN
cana-3807	164	5	of	of	ADP
cana-3807	164	6	55	55	NUM
cana-3807	164	7	%	%	NOUN
cana-3807	164	8	,	,	PUNCT
cana-3807	164	9	a	a	DET
cana-3807	164	10	gpu	gpu	NOUN
cana-3807	164	11	acceleration	acceleration	NOUN
cana-3807	164	12	of	of	ADP
cana-3807	164	13	40	40	NUM
cana-3807	164	14	%	%	NOUN
cana-3807	164	15	,	,	PUNCT
cana-3807	164	16	and	and	CCONJ
cana-3807	164	17	a	a	DET
cana-3807	164	18	power	power	NOUN
cana-3807	164	19	consumption	consumption	NOUN
cana-3807	164	20	of	of	ADP
cana-3807	164	21	60w	60w	NOUN
cana-3807	164	22	,	,	PUNCT
cana-3807	164	23	the	the	DET
cana-3807	164	24	proposed	propose	VERB
cana-3807	164	25	model	model	NOUN
cana-3807	164	26	is	be	AUX
cana-3807	164	27	the	the	DET
cana-3807	164	28	most	most	ADV
cana-3807	164	29	power	power	NOUN
cana-3807	164	30	-	-	PUNCT
cana-3807	164	31	efficient	efficient	ADJ
cana-3807	164	32	algorithm	algorithm	NOUN
cana-3807	164	33	with	with	ADP
cana-3807	164	34	the	the	DET
cana-3807	164	35	best	good	ADJ
cana-3807	164	36	resource	resource	NOUN
cana-3807	164	37	utilisation	utilisation	NOUN
cana-3807	164	38	.	.	PUNCT
cana-3807	165	1	with	with	ADP
cana-3807	165	2	90	90	NUM
cana-3807	165	3	%	%	NOUN
cana-3807	165	4	cpu	cpu	NOUN
cana-3807	165	5	utilisation	utilisation	NOUN
cana-3807	165	6	,	,	PUNCT
cana-3807	165	7	10	10	NUM
cana-3807	165	8	%	%	NOUN
cana-3807	165	9	gpu	gpu	NOUN
cana-3807	165	10	acceleration	acceleration	NOUN
cana-3807	165	11	,	,	PUNCT
cana-3807	165	12	and	and	CCONJ
cana-3807	165	13	95w	95w	NOUN
cana-3807	165	14	power	power	NOUN
cana-3807	165	15	consumption	consumption	NOUN
cana-3807	165	16	,	,	PUNCT
cana-3807	165	17	floyd	floyd	NOUN
cana-3807	165	18	-	-	PUNCT
cana-3807	165	19	warshall	warshall	NOUN
cana-3807	165	20	,	,	PUNCT
cana-3807	165	21	on	on	ADP
cana-3807	165	22	the	the	DET
cana-3807	165	23	other	other	ADJ
cana-3807	165	24	hand	hand	NOUN
cana-3807	165	25	,	,	PUNCT
cana-3807	165	26	uses	use	VERB
cana-3807	165	27	the	the	DET
cana-3807	165	28	most	most	ADJ
cana-3807	165	29	resources	resource	NOUN
cana-3807	165	30	,	,	PUNCT
cana-3807	165	31	demonstrating	demonstrate	VERB
cana-3807	165	32	its	its	PRON
cana-3807	165	33	inefficiency	inefficiency	NOUN
cana-3807	165	34	in	in	ADP
cana-3807	165	35	terms	term	NOUN
cana-3807	165	36	of	of	ADP
cana-3807	165	37	both	both	CCONJ
cana-3807	165	38	computational	computational	ADJ
cana-3807	165	39	power	power	NOUN
cana-3807	165	40	and	and	CCONJ
cana-3807	165	41	energy	energy	NOUN
cana-3807	165	42	consumption	consumption	NOUN
cana-3807	165	43	.	.	PUNCT
cana-3807	166	1	bellman	bellman	PROPN
cana-3807	166	2	-	-	PUNCT
cana-3807	166	3	ford	ford	PROPN
cana-3807	166	4	's	's	PART
cana-3807	166	5	90w	90w	NUM
cana-3807	166	6	power	power	NOUN
cana-3807	166	7	consumption	consumption	NOUN
cana-3807	166	8	and	and	CCONJ
cana-3807	166	9	85	85	NUM
cana-3807	166	10	%	%	NOUN
cana-3807	166	11	cpu	cpu	NOUN
cana-3807	166	12	use	use	NOUN
cana-3807	166	13	demonstrate	demonstrate	VERB
cana-3807	166	14	comparable	comparable	ADJ
cana-3807	166	15	inefficiencies	inefficiency	NOUN
cana-3807	166	16	.	.	PUNCT
cana-3807	167	1	a	a	PRON
cana-3807	167	2	*	*	PUNCT
cana-3807	167	3	achieves	achieve	VERB
cana-3807	167	4	equilibrium	equilibrium	NOUN
cana-3807	167	5	with	with	ADP
cana-3807	167	6	20	20	NUM
cana-3807	167	7	%	%	NOUN
cana-3807	167	8	gpu	gpu	NOUN
cana-3807	167	9	acceleration	acceleration	NOUN
cana-3807	167	10	and	and	CCONJ
cana-3807	167	11	65	65	NUM
cana-3807	167	12	%	%	NOUN
cana-3807	167	13	cpu	cpu	NOUN
cana-3807	167	14	utilisation	utilisation	NOUN
cana-3807	167	15	.	.	PUNCT
cana-3807	168	1	communications	communication	NOUN
cana-3807	168	2	on	on	ADP
cana-3807	168	3	applied	apply	VERB
cana-3807	168	4	nonlinear	nonlinear	ADJ
cana-3807	168	5	analysis	analysis	NOUN
cana-3807	168	6	issn	issn	NOUN
cana-3807	168	7	:	:	PUNCT
cana-3807	168	8	1074	1074	NUM
cana-3807	168	9	-	-	PUNCT
cana-3807	168	10	133x	133x	NUM
cana-3807	168	11	vol	vol	NOUN
cana-3807	168	12	32	32	NUM
cana-3807	168	13	no	no	NOUN
cana-3807	168	14	.	.	PUNCT
cana-3807	169	1	8s	8s	PROPN
cana-3807	169	2	(	(	PUNCT
cana-3807	169	3	2025	2025	NUM
cana-3807	169	4	)	)	PUNCT
cana-3807	169	5	770	770	NUM
cana-3807	169	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3807	169	7	fig	fig	NOUN
cana-3807	169	8	.	.	PUNCT
cana-3807	170	1	5	5	NUM
cana-3807	170	2	:	:	PUNCT
cana-3807	170	3	resource	resource	NOUN
cana-3807	170	4	utilization	utilization	NOUN
cana-3807	170	5	efficiency	efficiency	NOUN
cana-3807	170	6	across	across	ADP
cana-3807	170	7	algorithms	algorithm	NOUN
cana-3807	170	8	according	accord	VERB
cana-3807	170	9	to	to	ADP
cana-3807	170	10	the	the	DET
cana-3807	170	11	chart	chart	NOUN
cana-3807	170	12	,	,	PUNCT
cana-3807	170	13	the	the	DET
cana-3807	170	14	proposed	propose	VERB
cana-3807	170	15	model	model	NOUN
cana-3807	170	16	is	be	AUX
cana-3807	170	17	particularly	particularly	ADV
cana-3807	170	18	noteworthy	noteworthy	ADJ
cana-3807	170	19	for	for	ADP
cana-3807	170	20	its	its	PRON
cana-3807	170	21	great	great	ADJ
cana-3807	170	22	computational	computational	ADJ
cana-3807	170	23	and	and	CCONJ
cana-3807	170	24	energy	energy	NOUN
cana-3807	170	25	efficiency	efficiency	NOUN
cana-3807	170	26	,	,	PUNCT
cana-3807	170	27	which	which	PRON
cana-3807	170	28	makes	make	VERB
cana-3807	170	29	it	it	PRON
cana-3807	170	30	perfect	perfect	ADJ
cana-3807	170	31	for	for	ADP
cana-3807	170	32	large	large	ADJ
cana-3807	170	33	-	-	PUNCT
cana-3807	170	34	scale	scale	NOUN
cana-3807	170	35	network	network	NOUN
cana-3807	170	36	jobs	job	NOUN
cana-3807	170	37	where	where	SCONJ
cana-3807	170	38	resource	resource	NOUN
cana-3807	170	39	limitations	limitation	NOUN
cana-3807	170	40	are	be	AUX
cana-3807	170	41	essential	essential	ADJ
cana-3807	170	42	.	.	PUNCT
cana-3807	171	1	d.	d.	PROPN
cana-3807	171	2	contribution	contribution	PROPN
cana-3807	171	3	of	of	ADP
cana-3807	171	4	shrm	shrm	PROPN
cana-3807	171	5	practices	practice	NOUN
cana-3807	171	6	to	to	PART
cana-3807	171	7	supply	supply	VERB
cana-3807	171	8	chain	chain	NOUN
cana-3807	171	9	risk	risk	NOUN
cana-3807	171	10	mitigation	mitigation	NOUN
cana-3807	171	11	the	the	DET
cana-3807	171	12	percentage	percentage	NOUN
cana-3807	171	13	improvement	improvement	NOUN
cana-3807	171	14	provided	provide	VERB
cana-3807	171	15	by	by	ADP
cana-3807	171	16	the	the	DET
cana-3807	171	17	proposed	propose	VERB
cana-3807	171	18	model	model	NOUN
cana-3807	171	19	over	over	ADP
cana-3807	171	20	the	the	DET
cana-3807	171	21	conventional	conventional	ADJ
cana-3807	171	22	algorithms	algorithm	NOUN
cana-3807	171	23	dijkstra	dijkstra	PROPN
cana-3807	171	24	,	,	PUNCT
cana-3807	171	25	a	a	DET
cana-3807	171	26	*	*	ADJ
cana-3807	171	27	,	,	PUNCT
cana-3807	171	28	bellman	bellman	NOUN
cana-3807	171	29	-	-	PUNCT
cana-3807	171	30	ford	ford	NOUN
cana-3807	171	31	,	,	PUNCT
cana-3807	171	32	and	and	CCONJ
cana-3807	171	33	floyd	floyd	PROPN
cana-3807	171	34	-	-	PUNCT
cana-3807	171	35	warshall	warshall	PROPN
cana-3807	171	36	is	be	AUX
cana-3807	171	37	shown	show	VERB
cana-3807	171	38	in	in	ADP
cana-3807	171	39	figure	figure	NOUN
cana-3807	171	40	6	6	NUM
cana-3807	171	41	for	for	ADP
cana-3807	171	42	each	each	PRON
cana-3807	171	43	of	of	ADP
cana-3807	171	44	the	the	DET
cana-3807	171	45	three	three	NUM
cana-3807	171	46	main	main	ADJ
cana-3807	171	47	performance	performance	NOUN
cana-3807	171	48	metrics	metric	NOUN
cana-3807	171	49	:	:	PUNCT
cana-3807	171	50	accuracy	accuracy	NOUN
cana-3807	171	51	,	,	PUNCT
cana-3807	171	52	memory	memory	NOUN
cana-3807	171	53	utilisation	utilisation	NOUN
cana-3807	171	54	,	,	PUNCT
cana-3807	171	55	and	and	CCONJ
cana-3807	171	56	execution	execution	NOUN
cana-3807	171	57	time	time	NOUN
cana-3807	171	58	.	.	PUNCT
cana-3807	172	1	the	the	DET
cana-3807	172	2	suggested	suggest	VERB
cana-3807	172	3	model	model	NOUN
cana-3807	172	4	outperforms	outperform	NOUN
cana-3807	172	5	dijkstra	dijkstra	ADJ
cana-3807	172	6	by	by	ADP
cana-3807	172	7	40	40	NUM
cana-3807	172	8	%	%	NOUN
cana-3807	172	9	in	in	ADP
cana-3807	172	10	terms	term	NOUN
cana-3807	172	11	of	of	ADP
cana-3807	172	12	execution	execution	NOUN
cana-3807	172	13	time	time	NOUN
cana-3807	172	14	,	,	PUNCT
cana-3807	172	15	25	25	NUM
cana-3807	172	16	%	%	NOUN
cana-3807	172	17	in	in	ADP
cana-3807	172	18	terms	term	NOUN
cana-3807	172	19	of	of	ADP
cana-3807	172	20	memory	memory	NOUN
cana-3807	172	21	use	use	NOUN
cana-3807	172	22	,	,	PUNCT
cana-3807	172	23	and	and	CCONJ
cana-3807	172	24	5	5	NUM
cana-3807	172	25	%	%	NOUN
cana-3807	172	26	in	in	ADP
cana-3807	172	27	terms	term	NOUN
cana-3807	172	28	of	of	ADP
cana-3807	172	29	accuracy	accuracy	NOUN
cana-3807	172	30	.	.	PUNCT
cana-3807	173	1	comparing	compare	VERB
cana-3807	173	2	the	the	DET
cana-3807	173	3	proposed	propose	VERB
cana-3807	173	4	model	model	NOUN
cana-3807	173	5	to	to	ADP
cana-3807	173	6	other	other	ADJ
cana-3807	173	7	algorithms	algorithm	NOUN
cana-3807	173	8	reveals	reveal	VERB
cana-3807	173	9	similar	similar	ADJ
cana-3807	173	10	advantages	advantage	NOUN
cana-3807	173	11	,	,	PUNCT
cana-3807	173	12	particularly	particularly	ADV
cana-3807	173	13	in	in	ADP
cana-3807	173	14	execution	execution	NOUN
cana-3807	173	15	time	time	NOUN
cana-3807	173	16	,	,	PUNCT
cana-3807	173	17	where	where	SCONJ
cana-3807	173	18	the	the	DET
cana-3807	173	19	computational	computational	ADJ
cana-3807	173	20	cost	cost	NOUN
cana-3807	173	21	is	be	AUX
cana-3807	173	22	much	much	ADV
cana-3807	173	23	decreased	decrease	VERB
cana-3807	173	24	.	.	PUNCT
cana-3807	174	1	this	this	PRON
cana-3807	174	2	demonstrates	demonstrate	VERB
cana-3807	174	3	how	how	SCONJ
cana-3807	174	4	well	well	ADV
cana-3807	174	5	the	the	DET
cana-3807	174	6	suggested	suggest	VERB
cana-3807	174	7	model	model	NOUN
cana-3807	174	8	optimises	optimise	VERB
cana-3807	174	9	the	the	DET
cana-3807	174	10	use	use	NOUN
cana-3807	174	11	of	of	ADP
cana-3807	174	12	time	time	NOUN
cana-3807	174	13	and	and	CCONJ
cana-3807	174	14	resources	resource	NOUN
cana-3807	174	15	.	.	PUNCT
cana-3807	175	1	fig	fig	NOUN
cana-3807	175	2	.	.	PUNCT
cana-3807	176	1	6	6	NUM
cana-3807	176	2	:	:	PUNCT
cana-3807	176	3	improvement	improvement	NOUN
cana-3807	176	4	percentage	percentage	NOUN
cana-3807	176	5	of	of	ADP
cana-3807	176	6	the	the	DET
cana-3807	176	7	proposed	propose	VERB
cana-3807	176	8	model	model	NOUN
cana-3807	176	9	over	over	ADP
cana-3807	176	10	traditional	traditional	ADJ
cana-3807	176	11	algorithms	algorithm	NOUN
cana-3807	176	12	e.	e.	PROPN
cana-3807	176	13	employee	employee	PROPN
cana-3807	176	14	perception	perception	NOUN
cana-3807	176	15	on	on	ADP
cana-3807	176	16	the	the	DET
cana-3807	176	17	effectiveness	effectiveness	NOUN
cana-3807	176	18	of	of	ADP
cana-3807	176	19	shrm	shrm	PROPN
cana-3807	176	20	in	in	ADP
cana-3807	176	21	supply	supply	NOUN
cana-3807	176	22	chain	chain	NOUN
cana-3807	176	23	integration	integration	NOUN
cana-3807	176	24	the	the	DET
cana-3807	176	25	performance	performance	NOUN
cana-3807	176	26	of	of	ADP
cana-3807	176	27	the	the	DET
cana-3807	176	28	proposed	propose	VERB
cana-3807	176	29	model	model	NOUN
cana-3807	176	30	and	and	CCONJ
cana-3807	176	31	the	the	DET
cana-3807	176	32	dijkstra	dijkstra	ADJ
cana-3807	176	33	algorithm	algorithm	NOUN
cana-3807	176	34	is	be	AUX
cana-3807	176	35	contrasted	contrast	VERB
cana-3807	176	36	in	in	ADP
cana-3807	176	37	figure	figure	NOUN
cana-3807	176	38	7	7	NUM
cana-3807	176	39	for	for	ADP
cana-3807	176	40	three	three	NUM
cana-3807	176	41	different	different	ADJ
cana-3807	176	42	network	network	NOUN
cana-3807	176	43	types	type	NOUN
cana-3807	176	44	:	:	PUNCT
cana-3807	176	45	transportation	transportation	NOUN
cana-3807	176	46	,	,	PUNCT
cana-3807	176	47	biological	biological	ADJ
cana-3807	176	48	,	,	PUNCT
cana-3807	176	49	and	and	CCONJ
cana-3807	176	50	social	social	ADJ
cana-3807	176	51	networks	network	NOUN
cana-3807	176	52	.	.	PUNCT
cana-3807	177	1	accuracy	accuracy	NOUN
cana-3807	177	2	and	and	CCONJ
cana-3807	177	3	execution	execution	NOUN
cana-3807	177	4	time	time	NOUN
cana-3807	177	5	are	be	AUX
cana-3807	177	6	examined	examine	VERB
cana-3807	177	7	for	for	ADP
cana-3807	177	8	every	every	DET
cana-3807	177	9	kind	kind	NOUN
cana-3807	177	10	of	of	ADP
cana-3807	177	11	network	network	NOUN
cana-3807	177	12	.	.	PUNCT
cana-3807	178	1	the	the	DET
cana-3807	178	2	suggested	suggest	VERB
cana-3807	178	3	model	model	NOUN
cana-3807	178	4	performs	perform	VERB
cana-3807	178	5	better	well	ADV
cana-3807	178	6	in	in	ADP
cana-3807	178	7	social	social	ADJ
cana-3807	178	8	networks	network	NOUN
cana-3807	178	9	than	than	ADP
cana-3807	178	10	dijkstra	dijkstra	ADJ
cana-3807	178	11	,	,	PUNCT
cana-3807	178	12	raising	raise	VERB
cana-3807	178	13	accuracy	accuracy	NOUN
cana-3807	178	14	from	from	ADP
cana-3807	178	15	88	88	NUM
cana-3807	178	16	%	%	NOUN
cana-3807	178	17	to	to	ADP
cana-3807	178	18	93	93	NUM
cana-3807	178	19	%	%	NOUN
cana-3807	178	20	and	and	CCONJ
cana-3807	178	21	decreasing	decrease	VERB
cana-3807	178	22	execution	execution	NOUN
cana-3807	178	23	time	time	NOUN
cana-3807	178	24	from	from	ADP
cana-3807	178	25	3000	3000	NUM
cana-3807	178	26	ms	ms	NOUN
cana-3807	178	27	to	to	ADP
cana-3807	178	28	1800	1800	NUM
cana-3807	178	29	ms	ms	PROPN
cana-3807	178	30	.	.	PROPN
cana-3807	179	1	likewise	likewise	ADV
cana-3807	179	2	,	,	PUNCT
cana-3807	179	3	the	the	DET
cana-3807	179	4	proposed	propose	VERB
cana-3807	179	5	model	model	NOUN
cana-3807	179	6	outperforms	outperform	VERB
cana-3807	179	7	dijkstra	dijkstra	ADJ
cana-3807	179	8	(	(	PUNCT
cana-3807	179	9	3500	3500	NUM
cana-3807	179	10	ms	ms	NOUN
cana-3807	179	11	)	)	PUNCT
cana-3807	179	12	in	in	ADP
cana-3807	179	13	terms	term	NOUN
cana-3807	179	14	of	of	ADP
cana-3807	179	15	execution	execution	NOUN
cana-3807	179	16	speed	speed	NOUN
cana-3807	179	17	(	(	PUNCT
cana-3807	179	18	1900	1900	NUM
cana-3807	179	19	ms	ms	NOUN
cana-3807	179	20	)	)	PUNCT
cana-3807	179	21	and	and	CCONJ
cana-3807	179	22	accuracy	accuracy	NOUN
cana-3807	179	23	(	(	PUNCT
cana-3807	179	24	92	92	NUM
cana-3807	179	25	%	%	NOUN
cana-3807	179	26	vs.	vs.	ADP
cana-3807	179	27	87	87	NUM
cana-3807	179	28	%	%	NOUN
cana-3807	179	29	)	)	PUNCT
cana-3807	179	30	for	for	ADP
cana-3807	179	31	biological	biological	ADJ
cana-3807	179	32	networks	network	NOUN
cana-3807	179	33	.	.	PUNCT
cana-3807	180	1	the	the	DET
cana-3807	180	2	suggested	suggest	VERB
cana-3807	180	3	model	model	NOUN
cana-3807	180	4	once	once	ADV
cana-3807	180	5	again	again	ADV
cana-3807	180	6	performs	perform	VERB
cana-3807	180	7	better	well	ADV
cana-3807	180	8	in	in	ADP
cana-3807	180	9	transportation	transportation	NOUN
cana-3807	180	10	networks	network	NOUN
cana-3807	180	11	,	,	PUNCT
cana-3807	180	12	cutting	cut	VERB
cana-3807	180	13	execution	execution	NOUN
cana-3807	180	14	time	time	NOUN
cana-3807	180	15	from	from	ADP
cana-3807	180	16	4000	4000	NUM
cana-3807	180	17	ms	ms	NOUN
cana-3807	180	18	to	to	ADP
cana-3807	180	19	2000	2000	NUM
cana-3807	180	20	ms	ms	NOUN
cana-3807	180	21	and	and	CCONJ
cana-3807	180	22	increasing	increase	VERB
cana-3807	180	23	accuracy	accuracy	NOUN
cana-3807	180	24	from	from	ADP
cana-3807	180	25	85	85	NUM
cana-3807	180	26	%	%	NOUN
cana-3807	180	27	to	to	PART
cana-3807	180	28	90	90	NUM
cana-3807	180	29	%	%	NOUN
cana-3807	180	30	.	.	PUNCT
cana-3807	181	1	communications	communication	NOUN
cana-3807	181	2	on	on	ADP
cana-3807	181	3	applied	apply	VERB
cana-3807	181	4	nonlinear	nonlinear	ADJ
cana-3807	181	5	analysis	analysis	NOUN
cana-3807	181	6	issn	issn	NOUN
cana-3807	181	7	:	:	PUNCT
cana-3807	181	8	1074	1074	NUM
cana-3807	181	9	-	-	PUNCT
cana-3807	181	10	133x	133x	NUM
cana-3807	181	11	vol	vol	NOUN
cana-3807	181	12	32	32	NUM
cana-3807	181	13	no	no	NOUN
cana-3807	181	14	.	.	PUNCT
cana-3807	182	1	8s	8s	PROPN
cana-3807	182	2	(	(	PUNCT
cana-3807	182	3	2025	2025	NUM
cana-3807	182	4	)	)	PUNCT
cana-3807	182	5	771	771	NUM
cana-3807	182	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3807	182	7	fig	fig	NOUN
cana-3807	182	8	.	.	PUNCT
cana-3807	183	1	7	7	NUM
cana-3807	183	2	:	:	PUNCT
cana-3807	183	3	performance	performance	NOUN
cana-3807	183	4	comparison	comparison	NOUN
cana-3807	183	5	on	on	ADP
cana-3807	183	6	different	different	ADJ
cana-3807	183	7	network	network	NOUN
cana-3807	183	8	types	type	NOUN
cana-3807	183	9	this	this	DET
cana-3807	183	10	figure	figure	NOUN
cana-3807	183	11	demonstrates	demonstrate	VERB
cana-3807	183	12	the	the	DET
cana-3807	183	13	durability	durability	NOUN
cana-3807	183	14	and	and	CCONJ
cana-3807	183	15	adaptability	adaptability	NOUN
cana-3807	183	16	of	of	ADP
cana-3807	183	17	the	the	DET
cana-3807	183	18	proposed	propose	VERB
cana-3807	183	19	model	model	NOUN
cana-3807	183	20	by	by	ADP
cana-3807	183	21	highlighting	highlight	VERB
cana-3807	183	22	its	its	PRON
cana-3807	183	23	consistent	consistent	ADJ
cana-3807	183	24	advantage	advantage	NOUN
cana-3807	183	25	in	in	ADP
cana-3807	183	26	execution	execution	NOUN
cana-3807	183	27	time	time	NOUN
cana-3807	183	28	and	and	CCONJ
cana-3807	183	29	accuracy	accuracy	NOUN
cana-3807	183	30	across	across	ADP
cana-3807	183	31	a	a	DET
cana-3807	183	32	variety	variety	NOUN
cana-3807	183	33	of	of	ADP
cana-3807	183	34	real	real	ADJ
cana-3807	183	35	-	-	PUNCT
cana-3807	183	36	world	world	NOUN
cana-3807	183	37	network	network	NOUN
cana-3807	183	38	types	type	NOUN
cana-3807	183	39	.	.	PUNCT
cana-3807	184	1	v.	v.	ADP
cana-3807	184	2	conclusion	conclusion	NOUN
cana-3807	184	3	this	this	DET
cana-3807	184	4	paper	paper	NOUN
cana-3807	184	5	addressed	address	VERB
cana-3807	184	6	important	important	ADJ
cana-3807	184	7	issues	issue	NOUN
cana-3807	184	8	including	include	VERB
cana-3807	184	9	resource	resource	NOUN
cana-3807	184	10	usage	usage	NOUN
cana-3807	184	11	,	,	PUNCT
cana-3807	184	12	scalability	scalability	NOUN
cana-3807	184	13	,	,	PUNCT
cana-3807	184	14	and	and	CCONJ
cana-3807	184	15	efficiency	efficiency	NOUN
cana-3807	184	16	by	by	ADP
cana-3807	184	17	presenting	present	VERB
cana-3807	184	18	a	a	DET
cana-3807	184	19	mathematical	mathematical	ADJ
cana-3807	184	20	framework	framework	NOUN
cana-3807	184	21	for	for	ADP
cana-3807	184	22	optimising	optimise	VERB
cana-3807	184	23	graph	graph	NOUN
cana-3807	184	24	algorithms	algorithm	NOUN
cana-3807	184	25	in	in	ADP
cana-3807	184	26	large	large	ADJ
cana-3807	184	27	-	-	PUNCT
cana-3807	184	28	scale	scale	NOUN
cana-3807	184	29	networks	network	NOUN
cana-3807	184	30	.	.	PUNCT
cana-3807	185	1	through	through	ADP
cana-3807	185	2	the	the	DET
cana-3807	185	3	use	use	NOUN
cana-3807	185	4	of	of	ADP
cana-3807	185	5	sophisticated	sophisticated	ADJ
cana-3807	185	6	strategies	strategy	NOUN
cana-3807	185	7	such	such	ADJ
cana-3807	185	8	as	as	ADP
cana-3807	185	9	spectral	spectral	ADJ
cana-3807	185	10	graph	graph	NOUN
cana-3807	185	11	theory	theory	NOUN
cana-3807	185	12	,	,	PUNCT
cana-3807	185	13	heuristics	heuristic	NOUN
cana-3807	185	14	,	,	PUNCT
cana-3807	185	15	parallel	parallel	ADJ
cana-3807	185	16	computing	computing	NOUN
cana-3807	185	17	,	,	PUNCT
cana-3807	185	18	and	and	CCONJ
cana-3807	185	19	graph	graph	NOUN
cana-3807	185	20	partitioning	partitioning	NOUN
cana-3807	185	21	,	,	PUNCT
cana-3807	185	22	the	the	DET
cana-3807	185	23	proposed	propose	VERB
cana-3807	185	24	model	model	NOUN
cana-3807	185	25	continuously	continuously	ADV
cana-3807	185	26	beat	beat	VERB
cana-3807	185	27	more	more	ADV
cana-3807	185	28	conventional	conventional	ADJ
cana-3807	185	29	algorithms	algorithm	NOUN
cana-3807	185	30	like	like	ADP
cana-3807	185	31	dijkstra	dijkstra	PROPN
cana-3807	185	32	,	,	PUNCT
cana-3807	185	33	a	a	PRON
cana-3807	185	34	*	*	ADJ
cana-3807	185	35	,	,	PUNCT
cana-3807	185	36	bellman	bellman	NOUN
cana-3807	185	37	-	-	PUNCT
cana-3807	185	38	ford	ford	NOUN
cana-3807	185	39	,	,	PUNCT
cana-3807	185	40	and	and	CCONJ
cana-3807	185	41	floydwarshall	floydwarshall	NOUN
cana-3807	185	42	.	.	PUNCT
cana-3807	186	1	in	in	ADP
cana-3807	186	2	a	a	DET
cana-3807	186	3	variety	variety	NOUN
cana-3807	186	4	of	of	ADP
cana-3807	186	5	network	network	NOUN
cana-3807	186	6	settings	setting	NOUN
cana-3807	186	7	,	,	PUNCT
cana-3807	186	8	such	such	ADJ
cana-3807	186	9	as	as	ADP
cana-3807	186	10	social	social	ADJ
cana-3807	186	11	,	,	PUNCT
cana-3807	186	12	biological	biological	ADJ
cana-3807	186	13	,	,	PUNCT
cana-3807	186	14	and	and	CCONJ
cana-3807	186	15	transportation	transportation	NOUN
cana-3807	186	16	networks	network	NOUN
cana-3807	186	17	,	,	PUNCT
cana-3807	186	18	the	the	DET
cana-3807	186	19	results	result	NOUN
cana-3807	186	20	showed	show	VERB
cana-3807	186	21	notable	notable	ADJ
cana-3807	186	22	gains	gain	NOUN
cana-3807	186	23	in	in	ADP
cana-3807	186	24	execution	execution	NOUN
cana-3807	186	25	speed	speed	NOUN
cana-3807	186	26	,	,	PUNCT
cana-3807	186	27	memory	memory	NOUN
cana-3807	186	28	efficiency	efficiency	NOUN
cana-3807	186	29	,	,	PUNCT
cana-3807	186	30	accuracy	accuracy	NOUN
cana-3807	186	31	,	,	PUNCT
cana-3807	186	32	and	and	CCONJ
cana-3807	186	33	resource	resource	NOUN
cana-3807	186	34	utilisation	utilisation	NOUN
cana-3807	186	35	.	.	PUNCT
cana-3807	187	1	while	while	SCONJ
cana-3807	187	2	resource	resource	NOUN
cana-3807	187	3	utilisation	utilisation	NOUN
cana-3807	187	4	measurements	measurement	NOUN
cana-3807	187	5	emphasised	emphasise	VERB
cana-3807	187	6	the	the	DET
cana-3807	187	7	proposed	propose	VERB
cana-3807	187	8	model	model	NOUN
cana-3807	187	9	's	's	PART
cana-3807	187	10	computational	computational	ADJ
cana-3807	187	11	and	and	CCONJ
cana-3807	187	12	energy	energy	NOUN
cana-3807	187	13	economy	economy	NOUN
cana-3807	187	14	,	,	PUNCT
cana-3807	187	15	scalability	scalability	NOUN
cana-3807	187	16	study	study	NOUN
cana-3807	187	17	demonstrated	demonstrate	VERB
cana-3807	187	18	the	the	DET
cana-3807	187	19	model	model	NOUN
cana-3807	187	20	's	's	PART
cana-3807	187	21	potential	potential	NOUN
cana-3807	187	22	to	to	PART
cana-3807	187	23	manage	manage	VERB
cana-3807	187	24	large	large	ADJ
cana-3807	187	25	datasets	dataset	NOUN
cana-3807	187	26	efficiently	efficiently	ADV
cana-3807	187	27	.	.	PUNCT
cana-3807	188	1	these	these	DET
cana-3807	188	2	results	result	NOUN
cana-3807	188	3	demonstrate	demonstrate	VERB
cana-3807	188	4	that	that	SCONJ
cana-3807	188	5	the	the	DET
cana-3807	188	6	proposed	propose	VERB
cana-3807	188	7	model	model	NOUN
cana-3807	188	8	is	be	AUX
cana-3807	188	9	a	a	DET
cana-3807	188	10	reliable	reliable	ADJ
cana-3807	188	11	and	and	CCONJ
cana-3807	188	12	adaptable	adaptable	ADJ
cana-3807	188	13	approach	approach	NOUN
cana-3807	188	14	to	to	ADP
cana-3807	188	15	large	large	ADJ
cana-3807	188	16	-	-	PUNCT
cana-3807	188	17	scale	scale	NOUN
cana-3807	188	18	network	network	NOUN
cana-3807	188	19	optimisation	optimisation	NOUN
cana-3807	188	20	,	,	PUNCT
cana-3807	188	21	with	with	ADP
cana-3807	188	22	applications	application	NOUN
cana-3807	188	23	in	in	ADP
cana-3807	188	24	domains	domain	NOUN
cana-3807	188	25	like	like	ADP
cana-3807	188	26	social	social	ADJ
cana-3807	188	27	networks	network	NOUN
cana-3807	188	28	,	,	PUNCT
cana-3807	188	29	biological	biological	ADJ
cana-3807	188	30	systems	system	NOUN
cana-3807	188	31	,	,	PUNCT
cana-3807	188	32	and	and	CCONJ
cana-3807	188	33	telecommunications	telecommunication	NOUN
cana-3807	188	34	.	.	PUNCT
cana-3807	189	1	for	for	ADP
cana-3807	189	2	more	more	ADJ
cana-3807	189	3	adaptability	adaptability	NOUN
cana-3807	189	4	,	,	PUNCT
cana-3807	189	5	future	future	ADJ
cana-3807	189	6	studies	study	NOUN
cana-3807	189	7	can	can	AUX
cana-3807	189	8	investigate	investigate	VERB
cana-3807	189	9	expanding	expand	VERB
cana-3807	189	10	this	this	DET
cana-3807	189	11	paradigm	paradigm	NOUN
cana-3807	189	12	to	to	ADP
cana-3807	189	13	dynamic	dynamic	ADJ
cana-3807	189	14	,	,	PUNCT
cana-3807	189	15	real	real	ADJ
cana-3807	189	16	-	-	PUNCT
cana-3807	189	17	time	time	NOUN
cana-3807	189	18	network	network	NOUN
cana-3807	189	19	situations	situation	NOUN
cana-3807	189	20	.	.	PUNCT
cana-3807	190	1	vi	vi	X
cana-3807	190	2	.	.	NOUN
cana-3807	190	3	references	reference	NOUN
cana-3807	190	4	[	[	X
cana-3807	190	5	1	1	NUM
cana-3807	190	6	]	]	X
cana-3807	190	7	zhang	zhang	PROPN
cana-3807	190	8	,	,	PUNCT
cana-3807	190	9	y.	y.	PROPN
cana-3807	190	10	,	,	PUNCT
cana-3807	190	11	liu	liu	PROPN
cana-3807	190	12	,	,	PUNCT
cana-3807	190	13	h.	h.	PROPN
cana-3807	190	14	,	,	PUNCT
cana-3807	190	15	&	&	CCONJ
cana-3807	190	16	wang	wang	PROPN
cana-3807	190	17	,	,	PUNCT
cana-3807	190	18	x.	x.	NOUN
cana-3807	190	19	(	(	PUNCT
cana-3807	190	20	2020	2020	NUM
cana-3807	190	21	)	)	PUNCT
cana-3807	190	22	.	.	PUNCT
cana-3807	191	1	optimization	optimization	NOUN
cana-3807	191	2	of	of	ADP
cana-3807	191	3	shortest	short	ADJ
cana-3807	191	4	path	path	NOUN
cana-3807	191	5	algorithms	algorithm	NOUN
cana-3807	191	6	using	use	VERB
cana-3807	191	7	graph	graph	NOUN
cana-3807	191	8	partitioning	partition	VERB
cana-3807	191	9	and	and	CCONJ
cana-3807	191	10	parallel	parallel	ADJ
cana-3807	191	11	computing	computing	NOUN
cana-3807	191	12	in	in	ADP
cana-3807	191	13	large	large	ADJ
cana-3807	191	14	-	-	PUNCT
cana-3807	191	15	scale	scale	NOUN
cana-3807	191	16	networks	network	NOUN
cana-3807	191	17	.	.	PUNCT
cana-3807	192	1	journal	journal	NOUN
cana-3807	192	2	of	of	ADP
cana-3807	192	3	computational	computational	ADJ
cana-3807	192	4	networks	network	NOUN
cana-3807	192	5	,	,	PUNCT
cana-3807	192	6	12(3	12(3	NUM
cana-3807	192	7	)	)	PUNCT
cana-3807	192	8	,	,	PUNCT
cana-3807	192	9	215	215	NUM
cana-3807	192	10	-	-	SYM
cana-3807	192	11	230	230	NUM
cana-3807	192	12	.	.	PUNCT
cana-3807	193	1	[	[	X
cana-3807	193	2	2	2	NUM
cana-3807	193	3	]	]	X
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cana-3807	193	5	,	,	PUNCT
cana-3807	193	6	r.	r.	PROPN
cana-3807	193	7	,	,	PUNCT
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cana-3807	193	9	,	,	PUNCT
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cana-3807	193	12	&	&	CCONJ
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cana-3807	193	16	(	(	PUNCT
cana-3807	193	17	2021	2021	NUM
cana-3807	193	18	)	)	PUNCT
cana-3807	193	19	.	.	PUNCT
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cana-3807	194	4	algorithm	algorithm	NOUN
cana-3807	194	5	for	for	ADP
cana-3807	194	6	large	large	ADJ
cana-3807	194	7	-	-	PUNCT
cana-3807	194	8	scale	scale	NOUN
cana-3807	194	9	social	social	ADJ
cana-3807	194	10	networks	network	NOUN
cana-3807	194	11	using	use	VERB
cana-3807	194	12	heuristic	heuristic	ADJ
cana-3807	194	13	methods	method	NOUN
cana-3807	194	14	.	.	PUNCT
cana-3807	195	1	social	social	ADJ
cana-3807	195	2	network	network	NOUN
cana-3807	195	3	analysis	analysis	NOUN
cana-3807	195	4	journal	journal	NOUN
cana-3807	195	5	,	,	PUNCT
cana-3807	195	6	15(2	15(2	NUM
cana-3807	195	7	)	)	PUNCT
cana-3807	195	8	,	,	PUNCT
cana-3807	195	9	134	134	NUM
cana-3807	195	10	-	-	SYM
cana-3807	195	11	149	149	NUM
cana-3807	195	12	.	.	PUNCT
cana-3807	196	1	[	[	X
cana-3807	196	2	3	3	NUM
cana-3807	196	3	]	]	SYM
cana-3807	196	4	li	li	PROPN
cana-3807	196	5	,	,	PUNCT
cana-3807	196	6	j.	j.	PROPN
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cana-3807	196	9	,	,	PUNCT
cana-3807	196	10	x.	x.	PROPN
cana-3807	196	11	,	,	PUNCT
cana-3807	196	12	&	&	CCONJ
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cana-3807	196	17	2019	2019	NUM
cana-3807	196	18	)	)	PUNCT
cana-3807	196	19	.	.	PUNCT
cana-3807	197	1	graph	graph	NOUN
cana-3807	197	2	partitioning	partitioning	NOUN
cana-3807	197	3	strategies	strategy	NOUN
cana-3807	197	4	for	for	ADP
cana-3807	197	5	optimizing	optimize	VERB
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cana-3807	197	7	-	-	PUNCT
cana-3807	197	8	scale	scale	NOUN
cana-3807	197	9	network	network	NOUN
cana-3807	197	10	flow	flow	NOUN
cana-3807	197	11	algorithms	algorithm	NOUN
cana-3807	197	12	.	.	PUNCT
cana-3807	198	1	applied	apply	VERB
cana-3807	198	2	network	network	NOUN
cana-3807	198	3	science	science	NOUN
cana-3807	198	4	,	,	PUNCT
cana-3807	198	5	7(1	7(1	NUM
cana-3807	198	6	)	)	PUNCT
cana-3807	198	7	,	,	PUNCT
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cana-3807	198	9	-	-	SYM
cana-3807	198	10	118	118	NUM
cana-3807	198	11	.	.	PUNCT
cana-3807	199	1	[	[	X
cana-3807	199	2	4	4	NUM
cana-3807	199	3	]	]	X
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cana-3807	199	5	,	,	PUNCT
cana-3807	199	6	z.	z.	PROPN
cana-3807	199	7	,	,	PUNCT
cana-3807	199	8	lee	lee	PROPN
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cana-3807	199	14	,	,	PUNCT
cana-3807	199	15	y.	y.	PROPN
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cana-3807	199	17	2022	2022	NUM
cana-3807	199	18	)	)	PUNCT
cana-3807	199	19	.	.	PUNCT
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cana-3807	200	2	processing	processing	NOUN
cana-3807	200	3	framework	framework	NOUN
cana-3807	200	4	for	for	ADP
cana-3807	200	5	graph	graph	NOUN
cana-3807	200	6	algorithms	algorithm	NOUN
cana-3807	200	7	in	in	ADP
cana-3807	200	8	large	large	ADJ
cana-3807	200	9	-	-	PUNCT
cana-3807	200	10	scale	scale	NOUN
cana-3807	200	11	biological	biological	ADJ
cana-3807	200	12	networks	network	NOUN
cana-3807	200	13	.	.	PUNCT
cana-3807	201	1	bioinformatics	bioinformatic	NOUN
cana-3807	201	2	and	and	CCONJ
cana-3807	201	3	computational	computational	ADJ
cana-3807	201	4	biology	biology	NOUN
cana-3807	201	5	,	,	PUNCT
cana-3807	201	6	18(4	18(4	NUM
cana-3807	201	7	)	)	PUNCT
cana-3807	201	8	,	,	PUNCT
cana-3807	201	9	290	290	NUM
cana-3807	201	10	-	-	SYM
cana-3807	201	11	305	305	NUM
cana-3807	201	12	.	.	PUNCT
cana-3807	202	1	[	[	X
cana-3807	202	2	5	5	NUM
cana-3807	202	3	]	]	PUNCT
cana-3807	202	4	ahmed	ahmed	PROPN
cana-3807	202	5	,	,	PUNCT
cana-3807	202	6	s.	s.	PROPN
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cana-3807	202	12	&	&	CCONJ
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cana-3807	202	16	(	(	PUNCT
cana-3807	202	17	2020	2020	NUM
cana-3807	202	18	)	)	PUNCT
cana-3807	202	19	.	.	PUNCT
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cana-3807	203	2	improvements	improvement	NOUN
cana-3807	203	3	in	in	ADP
cana-3807	203	4	graph	graph	NOUN
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cana-3807	203	8	-	-	PUNCT
cana-3807	203	9	scale	scale	NOUN
cana-3807	203	10	transportation	transportation	NOUN
cana-3807	203	11	networks	network	NOUN
cana-3807	203	12	using	use	VERB
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cana-3807	203	14	strategies	strategy	NOUN
cana-3807	203	15	.	.	PUNCT
cana-3807	204	1	transportation	transportation	NOUN
cana-3807	204	2	research	research	NOUN
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cana-3807	204	4	,	,	PUNCT
cana-3807	204	5	25(5	25(5	NUM
cana-3807	204	6	)	)	PUNCT
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cana-3807	204	9	-	-	SYM
cana-3807	204	10	417	417	NUM
cana-3807	204	11	.	.	PUNCT
cana-3807	205	1	[	[	X
cana-3807	205	2	6	6	NUM
cana-3807	205	3	]	]	X
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cana-3807	205	12	&	&	CCONJ
cana-3807	205	13	zhang	zhang	PROPN
cana-3807	205	14	,	,	PUNCT
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cana-3807	205	17	2018	2018	NUM
cana-3807	205	18	)	)	PUNCT
cana-3807	205	19	.	.	PUNCT
cana-3807	206	1	dynamic	dynamic	ADJ
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cana-3807	206	3	algorithms	algorithm	NOUN
cana-3807	206	4	for	for	ADP
cana-3807	206	5	evolving	evolve	VERB
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cana-3807	206	7	-	-	PUNCT
cana-3807	206	8	scale	scale	NOUN
cana-3807	206	9	networks	network	NOUN
cana-3807	206	10	.	.	PUNCT
cana-3807	207	1	ieee	ieee	NOUN
cana-3807	207	2	transactions	transaction	NOUN
cana-3807	207	3	on	on	ADP
cana-3807	207	4	network	network	NOUN
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cana-3807	207	7	9(6	9(6	NUM
cana-3807	207	8	)	)	PUNCT
cana-3807	207	9	,	,	PUNCT
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cana-3807	207	11	-	-	SYM
cana-3807	207	12	526	526	NUM
cana-3807	207	13	.	.	PUNCT
cana-3807	208	1	[	[	X
cana-3807	208	2	7	7	NUM
cana-3807	208	3	]	]	X
cana-3807	208	4	patel	patel	PROPN
cana-3807	208	5	,	,	PUNCT
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cana-3807	208	9	,	,	PUNCT
cana-3807	208	10	k.	k.	PROPN
cana-3807	208	11	,	,	PUNCT
cana-3807	208	12	&	&	CCONJ
cana-3807	208	13	kumar	kumar	PROPN
cana-3807	208	14	,	,	PUNCT
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cana-3807	210	8	)	)	PUNCT
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cana-3807	210	11	-	-	SYM
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cana-3807	211	3	]	]	X
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cana-3807	211	19	.	.	PUNCT
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cana-3807	212	6	-	-	PUNCT
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cana-3807	212	10	.	.	PUNCT
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cana-3807	213	10	-	-	SYM
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cana-3807	213	12	.	.	PUNCT
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cana-3807	214	3	]	]	SYM
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cana-3807	214	19	.	.	PUNCT
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cana-3807	216	8	)	)	PUNCT
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cana-3807	217	19	.	.	PUNCT
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cana-3807	219	11	-	-	SYM
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cana-3807	219	13	.	.	PUNCT
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cana-3807	225	11	.	.	PUNCT
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cana-3807	226	7	:	:	PUNCT
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