A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk Article Swipe

PDF

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.1155/2018/1528341

In the era of big data, social network has become an important reflection of human communications and interactions on the Internet. Identifying the influential spreaders in networks plays a crucial role in various areas, such as disease outbreak, virus propagation, and public opinion controlling. Based on the three basic centrality measures, a comprehensive algorithm named PARW‐Rank for evaluating node influences has been proposed by applying preference relation analysis and random walk technique. For each basic measure, the preference relation between every node pair in a network is analyzed to construct the partial preference graph (PPG). Then, the comprehensive preference graph (CPG) is generated by combining the preference relations with respect to three basic measures. Finally, the ranking of nodes is determined by conducting random walk on the CPG. Furthermore, five public social networks are used for comparative analysis. The experimental results show that our PARW‐Rank algorithm can achieve the higher precision and better stability than the existing methods with a single centrality measure.

Related Topics

Centrality

Random Walk

Computer Science

Theoretical Computer Science

Data Mining

Algorithm

Artificial Intelligence

Mathematics

Statistics

Engineering

Structural Engineering

Combinatorics

Concepts

Centrality Random walk Preference Computer science Ranking (information retrieval) Graph Rank (graph theory) Relation (database) Node (physics) Measure (data warehouse) Theoretical computer science Data mining Algorithm Artificial intelligence Mathematics Statistics Engineering Structural engineering Combinatorics

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1155/2018/1528341
PDF: http://downloads.hindawi.com/journals/complexity/2018/1528341.pdf
OA Status: gold
Cited By: 24
References: 58
Related Works: 10
OpenAlex ID: https://openalex.org/W2895194374

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W2895194374

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1155/2018/1528341

Digital Object Identifier
Title: A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2018

Year of publication
Publication date: 2018-01-01

Full publication date if available
Authors: Chengying Mao, Weisong Xiao

List of authors in order
Landing page: https://doi.org/10.1155/2018/1528341

Publisher landing page
PDF URL: https://downloads.hindawi.com/journals/complexity/2018/1528341.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://downloads.hindawi.com/journals/complexity/2018/1528341.pdf

Direct OA link when available
Concepts: Centrality, Random walk, Preference, Computer science, Ranking (information retrieval), Graph, Rank (graph theory), Relation (database), Node (physics), Measure (data warehouse), Theoretical computer science, Data mining, Algorithm, Artificial intelligence, Mathematics, Statistics, Engineering, Structural engineering, Combinatorics

Top concepts (fields/topics) attached by OpenAlex
Cited by: 24

Total citation count in OpenAlex
Citations by year (recent): 2025: 2, 2024: 3, 2023: 1, 2022: 5, 2021: 7

Per-year citation counts (last 5 years)
References (count): 58

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W2895194374
doi	https://doi.org/10.1155/2018/1528341
ids.doi	https://doi.org/10.1155/2018/1528341
ids.mag	2895194374
ids.openalex	https://openalex.org/W2895194374
fwci	2.19042633
type	article
title	A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk
awards[0].id	https://openalex.org/G7138338358
awards[0].funder_id	https://openalex.org/F4320321001
awards[0].display_name
awards[0].funder_award_id	61462030
awards[0].funder_display_name	National Natural Science Foundation of China
awards[1].id	https://openalex.org/G8327105179
awards[1].funder_id	https://openalex.org/F4320322665
awards[1].display_name
awards[1].funder_award_id	20171ACB21031
awards[1].funder_display_name	Natural Science Foundation of Jiangxi Province
awards[2].id	https://openalex.org/G1448539693
awards[2].funder_id	https://openalex.org/F4320322665
awards[2].display_name
awards[2].funder_award_id	20162BCB23036
awards[2].funder_display_name	Natural Science Foundation of Jiangxi Province
awards[3].id	https://openalex.org/G7796799307
awards[3].funder_id	https://openalex.org/F4320321001
awards[3].display_name
awards[3].funder_award_id	61762040
awards[3].funder_display_name	National Natural Science Foundation of China
biblio.issue	1
biblio.volume	2018
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T10064
topics[0].field.id	https://openalex.org/fields/31
topics[0].field.display_name	Physics and Astronomy
topics[0].score	0.9998000264167786
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/3109
topics[0].subfield.display_name	Statistical and Nonlinear Physics
topics[0].display_name	Complex Network Analysis Techniques
topics[1].id	https://openalex.org/T12592
topics[1].field.id	https://openalex.org/fields/31
topics[1].field.display_name	Physics and Astronomy
topics[1].score	0.9940999746322632
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/3109
topics[1].subfield.display_name	Statistical and Nonlinear Physics
topics[1].display_name	Opinion Dynamics and Social Influence
topics[2].id	https://openalex.org/T11273
topics[2].field.id	https://openalex.org/fields/17
topics[2].field.display_name	Computer Science
topics[2].score	0.977400004863739
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/1702
topics[2].subfield.display_name	Artificial Intelligence
topics[2].display_name	Advanced Graph Neural Networks
funders[0].id	https://openalex.org/F4320321001
funders[0].ror	https://ror.org/01h0zpd94
funders[0].display_name	National Natural Science Foundation of China
funders[1].id	https://openalex.org/F4320322665
funders[1].ror
funders[1].display_name	Natural Science Foundation of Jiangxi Province
is_xpac	False
apc_list.value	2300
apc_list.currency	USD
apc_list.value_usd	2300
apc_paid.value	2300
apc_paid.currency	USD
apc_paid.value_usd	2300
concepts[0].id	https://openalex.org/C53811970
concepts[0].level	2
concepts[0].score	0.8524259924888611
concepts[0].wikidata	https://www.wikidata.org/wiki/Q5062194
concepts[0].display_name	Centrality
concepts[1].id	https://openalex.org/C121194460
concepts[1].level	2
concepts[1].score	0.6704110503196716
concepts[1].wikidata	https://www.wikidata.org/wiki/Q856741
concepts[1].display_name	Random walk
concepts[2].id	https://openalex.org/C2781249084
concepts[2].level	2
concepts[2].score	0.6699091196060181
concepts[2].wikidata	https://www.wikidata.org/wiki/Q908656
concepts[2].display_name	Preference
concepts[3].id	https://openalex.org/C41008148
concepts[3].level	0
concepts[3].score	0.6438987255096436
concepts[3].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[3].display_name	Computer science
concepts[4].id	https://openalex.org/C189430467
concepts[4].level	2
concepts[4].score	0.5761710405349731
concepts[4].wikidata	https://www.wikidata.org/wiki/Q7293293
concepts[4].display_name	Ranking (information retrieval)
concepts[5].id	https://openalex.org/C132525143
concepts[5].level	2
concepts[5].score	0.550321102142334
concepts[5].wikidata	https://www.wikidata.org/wiki/Q141488
concepts[5].display_name	Graph
concepts[6].id	https://openalex.org/C164226766
concepts[6].level	2
concepts[6].score	0.5119115114212036
concepts[6].wikidata	https://www.wikidata.org/wiki/Q7293202
concepts[6].display_name	Rank (graph theory)
concepts[7].id	https://openalex.org/C25343380
concepts[7].level	2
concepts[7].score	0.49828195571899414
concepts[7].wikidata	https://www.wikidata.org/wiki/Q277521
concepts[7].display_name	Relation (database)
concepts[8].id	https://openalex.org/C62611344
concepts[8].level	2
concepts[8].score	0.48414379358291626
concepts[8].wikidata	https://www.wikidata.org/wiki/Q1062658
concepts[8].display_name	Node (physics)
concepts[9].id	https://openalex.org/C2780009758
concepts[9].level	2
concepts[9].score	0.4244529902935028
concepts[9].wikidata	https://www.wikidata.org/wiki/Q6804172
concepts[9].display_name	Measure (data warehouse)
concepts[10].id	https://openalex.org/C80444323
concepts[10].level	1
concepts[10].score	0.4010659158229828
concepts[10].wikidata	https://www.wikidata.org/wiki/Q2878974
concepts[10].display_name	Theoretical computer science
concepts[11].id	https://openalex.org/C124101348
concepts[11].level	1
concepts[11].score	0.39873838424682617
concepts[11].wikidata	https://www.wikidata.org/wiki/Q172491
concepts[11].display_name	Data mining
concepts[12].id	https://openalex.org/C11413529
concepts[12].level	1
concepts[12].score	0.3737832009792328
concepts[12].wikidata	https://www.wikidata.org/wiki/Q8366
concepts[12].display_name	Algorithm
concepts[13].id	https://openalex.org/C154945302
concepts[13].level	1
concepts[13].score	0.3282959461212158
concepts[13].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[13].display_name	Artificial intelligence
concepts[14].id	https://openalex.org/C33923547
concepts[14].level	0
concepts[14].score	0.24934819340705872
concepts[14].wikidata	https://www.wikidata.org/wiki/Q395
concepts[14].display_name	Mathematics
concepts[15].id	https://openalex.org/C105795698
concepts[15].level	1
concepts[15].score	0.19986316561698914
concepts[15].wikidata	https://www.wikidata.org/wiki/Q12483
concepts[15].display_name	Statistics
concepts[16].id	https://openalex.org/C127413603
concepts[16].level	0
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q11023
concepts[16].display_name	Engineering
concepts[17].id	https://openalex.org/C66938386
concepts[17].level	1
concepts[17].score	0.0
concepts[17].wikidata	https://www.wikidata.org/wiki/Q633538
concepts[17].display_name	Structural engineering
concepts[18].id	https://openalex.org/C114614502
concepts[18].level	1
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q76592
concepts[18].display_name	Combinatorics
keywords[0].id	https://openalex.org/keywords/centrality
keywords[0].score	0.8524259924888611
keywords[0].display_name	Centrality
keywords[1].id	https://openalex.org/keywords/random-walk
keywords[1].score	0.6704110503196716
keywords[1].display_name	Random walk
keywords[2].id	https://openalex.org/keywords/preference
keywords[2].score	0.6699091196060181
keywords[2].display_name	Preference
keywords[3].id	https://openalex.org/keywords/computer-science
keywords[3].score	0.6438987255096436
keywords[3].display_name	Computer science
keywords[4].id	https://openalex.org/keywords/ranking
keywords[4].score	0.5761710405349731
keywords[4].display_name	Ranking (information retrieval)
keywords[5].id	https://openalex.org/keywords/graph
keywords[5].score	0.550321102142334
keywords[5].display_name	Graph
keywords[6].id	https://openalex.org/keywords/rank
keywords[6].score	0.5119115114212036
keywords[6].display_name	Rank (graph theory)
keywords[7].id	https://openalex.org/keywords/relation
keywords[7].score	0.49828195571899414
keywords[7].display_name	Relation (database)
keywords[8].id	https://openalex.org/keywords/node
keywords[8].score	0.48414379358291626
keywords[8].display_name	Node (physics)
keywords[9].id	https://openalex.org/keywords/measure
keywords[9].score	0.4244529902935028
keywords[9].display_name	Measure (data warehouse)
keywords[10].id	https://openalex.org/keywords/theoretical-computer-science
keywords[10].score	0.4010659158229828
keywords[10].display_name	Theoretical computer science
keywords[11].id	https://openalex.org/keywords/data-mining
keywords[11].score	0.39873838424682617
keywords[11].display_name	Data mining
keywords[12].id	https://openalex.org/keywords/algorithm
keywords[12].score	0.3737832009792328
keywords[12].display_name	Algorithm
keywords[13].id	https://openalex.org/keywords/artificial-intelligence
keywords[13].score	0.3282959461212158
keywords[13].display_name	Artificial intelligence
keywords[14].id	https://openalex.org/keywords/mathematics
keywords[14].score	0.24934819340705872
keywords[14].display_name	Mathematics
keywords[15].id	https://openalex.org/keywords/statistics
keywords[15].score	0.19986316561698914
keywords[15].display_name	Statistics
language	en
locations[0].id	doi:10.1155/2018/1528341
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S207319443
locations[0].source.issn	1076-2787, 1099-0526
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	1076-2787
locations[0].source.is_core	True
locations[0].source.is_in_doaj	True
locations[0].source.display_name	Complexity
locations[0].source.host_organization	https://openalex.org/P4310319869
locations[0].source.host_organization_name	Hindawi Publishing Corporation
locations[0].source.host_organization_lineage	https://openalex.org/P4310319869
locations[0].source.host_organization_lineage_names	Hindawi Publishing Corporation
locations[0].license	cc-by
locations[0].pdf_url	http://downloads.hindawi.com/journals/complexity/2018/1528341.pdf
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Complexity
locations[0].landing_page_url	https://doi.org/10.1155/2018/1528341
locations[1].id	pmh:oai:doaj.org/article:e159d6132c6241cc97a55257a45c4fef
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306401280
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	False
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	DOAJ (DOAJ: Directory of Open Access Journals)
locations[1].source.host_organization
locations[1].source.host_organization_name
locations[1].license	cc-by-sa
locations[1].pdf_url
locations[1].version	submittedVersion
locations[1].raw_type	article
locations[1].license_id	https://openalex.org/licenses/cc-by-sa
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name	Complexity, Vol 2018 (2018)
locations[1].landing_page_url	https://doaj.org/article/e159d6132c6241cc97a55257a45c4fef
indexed_in	crossref, doaj
authorships[0].author.id	https://openalex.org/A5005231122
authorships[0].author.orcid	https://orcid.org/0000-0001-8178-1205
authorships[0].author.display_name	Chengying Mao
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I59649739
authorships[0].affiliations[0].raw_affiliation_string	School of Software and Communication Engineering, Jiangxi University of Finance and Economics, 330013 Nanchang
authorships[0].institutions[0].id	https://openalex.org/I59649739
authorships[0].institutions[0].ror	https://ror.org/03efmyj29
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I59649739
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Jiangxi University of Finance and Economics
authorships[0].author_position	first
authorships[0].raw_author_name	Chengying Mao
authorships[0].is_corresponding	True
authorships[0].raw_affiliation_strings	School of Software and Communication Engineering, Jiangxi University of Finance and Economics, 330013 Nanchang
authorships[1].author.id	https://openalex.org/A5013456770
authorships[1].author.orcid
authorships[1].author.display_name	Weisong Xiao
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I59649739
authorships[1].affiliations[0].raw_affiliation_string	School of Software and Communication Engineering, Jiangxi University of Finance and Economics, 330013 Nanchang
authorships[1].institutions[0].id	https://openalex.org/I59649739
authorships[1].institutions[0].ror	https://ror.org/03efmyj29
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I59649739
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Jiangxi University of Finance and Economics
authorships[1].author_position	last
authorships[1].raw_author_name	Weisong Xiao
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	School of Software and Communication Engineering, Jiangxi University of Finance and Economics, 330013 Nanchang
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	http://downloads.hindawi.com/journals/complexity/2018/1528341.pdf
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10064
primary_topic.field.id	https://openalex.org/fields/31
primary_topic.field.display_name	Physics and Astronomy
primary_topic.score	0.9998000264167786
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/3109
primary_topic.subfield.display_name	Statistical and Nonlinear Physics
primary_topic.display_name	Complex Network Analysis Techniques
related_works	https://openalex.org/W2892175958, https://openalex.org/W1967293071, https://openalex.org/W2572749905, https://openalex.org/W2896465866, https://openalex.org/W3168190260, https://openalex.org/W1481469028, https://openalex.org/W1964062850, https://openalex.org/W1992392028, https://openalex.org/W2390724719, https://openalex.org/W1611569871
cited_by_count	24
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	2
counts_by_year[1].year	2024
counts_by_year[1].cited_by_count	3
counts_by_year[2].year	2023
counts_by_year[2].cited_by_count	1
counts_by_year[3].year	2022
counts_by_year[3].cited_by_count	5
counts_by_year[4].year	2021
counts_by_year[4].cited_by_count	7
counts_by_year[5].year	2020
counts_by_year[5].cited_by_count	5
counts_by_year[6].year	2019
counts_by_year[6].cited_by_count	1
locations_count	2
best_oa_location.id	doi:10.1155/2018/1528341
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S207319443
best_oa_location.source.issn	1076-2787, 1099-0526
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	1076-2787
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	True
best_oa_location.source.display_name	Complexity
best_oa_location.source.host_organization	https://openalex.org/P4310319869
best_oa_location.source.host_organization_name	Hindawi Publishing Corporation
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310319869
best_oa_location.source.host_organization_lineage_names	Hindawi Publishing Corporation
best_oa_location.license	cc-by
best_oa_location.pdf_url	http://downloads.hindawi.com/journals/complexity/2018/1528341.pdf
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Complexity
best_oa_location.landing_page_url	https://doi.org/10.1155/2018/1528341
primary_location.id	doi:10.1155/2018/1528341
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S207319443
primary_location.source.issn	1076-2787, 1099-0526
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	1076-2787
primary_location.source.is_core	True
primary_location.source.is_in_doaj	True
primary_location.source.display_name	Complexity
primary_location.source.host_organization	https://openalex.org/P4310319869
primary_location.source.host_organization_name	Hindawi Publishing Corporation
primary_location.source.host_organization_lineage	https://openalex.org/P4310319869
primary_location.source.host_organization_lineage_names	Hindawi Publishing Corporation
primary_location.license	cc-by
primary_location.pdf_url	http://downloads.hindawi.com/journals/complexity/2018/1528341.pdf
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Complexity
primary_location.landing_page_url	https://doi.org/10.1155/2018/1528341
publication_date	2018-01-01
publication_year	2018
referenced_works	https://openalex.org/W950821216, https://openalex.org/W2776546355, https://openalex.org/W2124637492, https://openalex.org/W1532151061, https://openalex.org/W1977326384, https://openalex.org/W2733313433, https://openalex.org/W2106034715, https://openalex.org/W1992250165, https://openalex.org/W2041660993, https://openalex.org/W2792550408, https://openalex.org/W2793963910, https://openalex.org/W2883211277, https://openalex.org/W2056944867, https://openalex.org/W2171707538, https://openalex.org/W2800766842, https://openalex.org/W2801241906, https://openalex.org/W2860769315, https://openalex.org/W2153465747, https://openalex.org/W1446702602, https://openalex.org/W2592164301, https://openalex.org/W3004635484, https://openalex.org/W2083842271, https://openalex.org/W2468419702, https://openalex.org/W2197906820, https://openalex.org/W2781101438, https://openalex.org/W2134716712, https://openalex.org/W1980749520, https://openalex.org/W2161728228, https://openalex.org/W1994320166, https://openalex.org/W2148606196, https://openalex.org/W2125050594, https://openalex.org/W2767375377, https://openalex.org/W2133131640, https://openalex.org/W2355856605, https://openalex.org/W2484377636, https://openalex.org/W2059556222, https://openalex.org/W2127423798, https://openalex.org/W1972786277, https://openalex.org/W2058623932, https://openalex.org/W78765239, https://openalex.org/W1985451470, https://openalex.org/W1971941321, https://openalex.org/W1992392028, https://openalex.org/W4301347335, https://openalex.org/W4238927122, https://openalex.org/W2736635164, https://openalex.org/W2399879002, https://openalex.org/W2529103813, https://openalex.org/W2594497216, https://openalex.org/W2591813061, https://openalex.org/W2464384554, https://openalex.org/W2525838396, https://openalex.org/W2191478572, https://openalex.org/W2018356076, https://openalex.org/W1606697907, https://openalex.org/W2015370254, https://openalex.org/W2140190241, https://openalex.org/W3099349898
referenced_works_count	58
abstract_inverted_index.a	28, 51, 84, 159
abstract_inverted_index.In	0
abstract_inverted_index.an	10
abstract_inverted_index.as	35
abstract_inverted_index.by	63, 103, 121
abstract_inverted_index.in	25, 31, 83
abstract_inverted_index.is	86, 101, 119
abstract_inverted_index.of	3, 13, 117
abstract_inverted_index.on	18, 45, 125
abstract_inverted_index.to	88, 110
abstract_inverted_index.For	72
abstract_inverted_index.The	138
abstract_inverted_index.and	16, 40, 68, 151
abstract_inverted_index.are	133
abstract_inverted_index.big	4
abstract_inverted_index.can	146
abstract_inverted_index.era	2
abstract_inverted_index.for	56, 135
abstract_inverted_index.has	8, 60
abstract_inverted_index.our	143
abstract_inverted_index.the	1, 19, 22, 46, 76, 90, 96, 105, 115, 126, 148, 155
abstract_inverted_index.CPG.	127
abstract_inverted_index.been	61
abstract_inverted_index.each	73
abstract_inverted_index.five	129
abstract_inverted_index.node	58, 81
abstract_inverted_index.pair	82
abstract_inverted_index.role	30
abstract_inverted_index.show	141
abstract_inverted_index.such	34
abstract_inverted_index.than	154
abstract_inverted_index.that	142
abstract_inverted_index.used	134
abstract_inverted_index.walk	70, 124
abstract_inverted_index.with	108, 158
abstract_inverted_index.(CPG)	100
abstract_inverted_index.Based	44
abstract_inverted_index.Then,	95
abstract_inverted_index.basic	48, 74, 112
abstract_inverted_index.data,	5
abstract_inverted_index.every	80
abstract_inverted_index.graph	93, 99
abstract_inverted_index.human	14
abstract_inverted_index.named	54
abstract_inverted_index.nodes	118
abstract_inverted_index.plays	27
abstract_inverted_index.three	47, 111
abstract_inverted_index.virus	38
abstract_inverted_index.(PPG).	94
abstract_inverted_index.areas,	33
abstract_inverted_index.become	9
abstract_inverted_index.better	152
abstract_inverted_index.higher	149
abstract_inverted_index.public	41, 130
abstract_inverted_index.random	69, 123
abstract_inverted_index.single	160
abstract_inverted_index.social	6, 131
abstract_inverted_index.achieve	147
abstract_inverted_index.between	79
abstract_inverted_index.crucial	29
abstract_inverted_index.disease	36
abstract_inverted_index.methods	157
abstract_inverted_index.network	7, 85
abstract_inverted_index.opinion	42
abstract_inverted_index.partial	91
abstract_inverted_index.ranking	116
abstract_inverted_index.respect	109
abstract_inverted_index.results	140
abstract_inverted_index.various	32
abstract_inverted_index.Finally,	114
abstract_inverted_index.analysis	67
abstract_inverted_index.analyzed	87
abstract_inverted_index.applying	64
abstract_inverted_index.existing	156
abstract_inverted_index.measure,	75
abstract_inverted_index.measure.	162
abstract_inverted_index.networks	26, 132
abstract_inverted_index.proposed	62
abstract_inverted_index.relation	66, 78
abstract_inverted_index.Internet.	20
abstract_inverted_index.algorithm	53, 145
abstract_inverted_index.analysis.	137
abstract_inverted_index.combining	104
abstract_inverted_index.construct	89
abstract_inverted_index.generated	102
abstract_inverted_index.important	11
abstract_inverted_index.measures,	50
abstract_inverted_index.measures.	113
abstract_inverted_index.outbreak,	37
abstract_inverted_index.precision	150
abstract_inverted_index.relations	107
abstract_inverted_index.spreaders	24
abstract_inverted_index.stability	153
abstract_inverted_index.centrality	49, 161
abstract_inverted_index.conducting	122
abstract_inverted_index.determined	120
abstract_inverted_index.evaluating	57
abstract_inverted_index.influences	59
abstract_inverted_index.preference	65, 77, 92, 98, 106
abstract_inverted_index.reflection	12
abstract_inverted_index.technique.	71
abstract_inverted_index.Identifying	21
abstract_inverted_index.PARW‐Rank	55, 144
abstract_inverted_index.comparative	136
abstract_inverted_index.influential	23
abstract_inverted_index.Furthermore,	128
abstract_inverted_index.controlling.	43
abstract_inverted_index.experimental	139
abstract_inverted_index.interactions	17
abstract_inverted_index.propagation,	39
abstract_inverted_index.comprehensive	52, 97
abstract_inverted_index.communications	15
cited_by_percentile_year.max	98
cited_by_percentile_year.min	89
corresponding_author_ids	https://openalex.org/A5005231122
countries_distinct_count	1
institutions_distinct_count	2
corresponding_institution_ids	https://openalex.org/I59649739
citation_normalized_percentile.value	0.88192985
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False