{"id":"https://openalex.org/W3197751840","doi":"https://doi.org/10.1109/access.2021.3131987","title":"Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis","display_name":"Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3197751840","doi":"https://doi.org/10.1109/access.2021.3131987","mag":"3197751840"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3131987","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131987","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631295.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631295.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016924854","display_name":"Mohamed Hamza Ibrahim","orcid":"https://orcid.org/0000-0002-0604-2709"},"institutions":[{"id":"https://openalex.org/I33217400","display_name":"Universit\u00e9 du Qu\u00e9bec en Outaouais","ror":"https://ror.org/011pqxa69","country_code":"CA","type":"education","lineage":["https://openalex.org/I33217400","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Hamza Ibrahim","raw_affiliation_strings":["Department of CS and Engineering, University of Quebec in Outaouais, Gatineau, Canada","Ecole Polytechnique de Montr\u00e9al,"],"raw_orcid":"https://orcid.org/0000-0002-0604-2709","affiliations":[{"raw_affiliation_string":"Department of CS and Engineering, University of Quebec in Outaouais, Gatineau, Canada","institution_ids":["https://openalex.org/I33217400"]},{"raw_affiliation_string":"Ecole Polytechnique de Montr\u00e9al,","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028335166","display_name":"Rokia Missaoui","orcid":"https://orcid.org/0000-0001-7410-4177"},"institutions":[{"id":"https://openalex.org/I33217400","display_name":"Universit\u00e9 du Qu\u00e9bec en Outaouais","ror":"https://ror.org/011pqxa69","country_code":"CA","type":"education","lineage":["https://openalex.org/I33217400","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rokia Missaoui","raw_affiliation_strings":["Department of CS and Engineering, University of Quebec in Outaouais, Gatineau, Canada","UNIVERSIT\u00c9 DU QU\u00c9BEC EN OUTAOUAIS"],"raw_orcid":"https://orcid.org/0000-0001-7410-4177","affiliations":[{"raw_affiliation_string":"Department of CS and Engineering, University of Quebec in Outaouais, Gatineau, Canada","institution_ids":["https://openalex.org/I33217400"]},{"raw_affiliation_string":"UNIVERSIT\u00c9 DU QU\u00c9BEC EN OUTAOUAIS","institution_ids":["https://openalex.org/I33217400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085240391","display_name":"Jean Vaillancourt","orcid":"https://orcid.org/0000-0002-9236-7728"},"institutions":[{"id":"https://openalex.org/I108192572","display_name":"HEC Montr\u00e9al","ror":"https://ror.org/05ww3wq27","country_code":"CA","type":"education","lineage":["https://openalex.org/I108192572"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean Vaillancourt","raw_affiliation_strings":["Department of Decision Sciences, HEC Montréal, Montréal, Canada","HEC MONTREAL"],"raw_orcid":"https://orcid.org/0000-0002-9236-7728","affiliations":[{"raw_affiliation_string":"Department of Decision Sciences, HEC Montréal, Montréal, Canada","institution_ids":[]},{"raw_affiliation_string":"HEC MONTREAL","institution_ids":["https://openalex.org/I108192572"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13466211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"159549","last_page":"159565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.918300986289978},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7979475259780884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852735877037048},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.6092469692230225},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.603069007396698},{"id":"https://openalex.org/keywords/network-theory","display_name":"Network theory","score":0.5727159976959229},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.5517032146453857},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5479405522346497},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4938269555568695},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.4777107238769531},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4720284044742584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46670910716056824},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4600275754928589},{"id":"https://openalex.org/keywords/formal-concept-analysis","display_name":"Formal concept analysis","score":0.4522651731967926},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.4384634792804718},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.410759299993515},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3677850365638733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2049514651298523},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17798283696174622},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16194701194763184},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09527069330215454},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.09012320637702942}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.918300986289978},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7979475259780884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852735877037048},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.6092469692230225},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.603069007396698},{"id":"https://openalex.org/C11804174","wikidata":"https://www.wikidata.org/wiki/Q1192971","display_name":"Network theory","level":2,"score":0.5727159976959229},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.5517032146453857},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5479405522346497},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4938269555568695},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.4777107238769531},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4720284044742584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46670910716056824},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4600275754928589},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.4522651731967926},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.4384634792804718},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.410759299993515},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3677850365638733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2049514651298523},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17798283696174622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16194701194763184},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09527069330215454},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.09012320637702942},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2021.3131987","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131987","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631295.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2109.03372","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.03372","pdf_url":"https://arxiv.org/pdf/2109.03372","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3197751840","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2109.03372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:bec0dd3bab344d348c6ab36ff1a05b99","is_oa":true,"landing_page_url":"https://doaj.org/article/bec0dd3bab344d348c6ab36ff1a05b99","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 159549-159565 (2021)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2109.03372","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2109.03372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3131987","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131987","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09631295.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W183030605","https://openalex.org/W1503729935","https://openalex.org/W1533368239","https://openalex.org/W1536736992","https://openalex.org/W1599904921","https://openalex.org/W1631977530","https://openalex.org/W1640285795","https://openalex.org/W1984156542","https://openalex.org/W1992250165","https://openalex.org/W2004826528","https://openalex.org/W2007327392","https://openalex.org/W2022996068","https://openalex.org/W2055245094","https://openalex.org/W2058526570","https://openalex.org/W2058696361","https://openalex.org/W2133131640","https://openalex.org/W2154897810","https://openalex.org/W2156025305","https://openalex.org/W2156655865","https://openalex.org/W2171707538","https://openalex.org/W2192746369","https://openalex.org/W2223126999","https://openalex.org/W2492277691","https://openalex.org/W2803095812","https://openalex.org/W2811420366","https://openalex.org/W2953862643","https://openalex.org/W2962890993","https://openalex.org/W2963452467","https://openalex.org/W3009895666","https://openalex.org/W3034725433","https://openalex.org/W3099470048","https://openalex.org/W3124877770","https://openalex.org/W4235019172","https://openalex.org/W4255318870","https://openalex.org/W6607416144","https://openalex.org/W6635588883","https://openalex.org/W6685877768","https://openalex.org/W6687517797"],"related_works":["https://openalex.org/W3099470048","https://openalex.org/W2593050739","https://openalex.org/W2798762335","https://openalex.org/W3014362800","https://openalex.org/W2620807086","https://openalex.org/W1577306381","https://openalex.org/W3171845654","https://openalex.org/W2889065427","https://openalex.org/W1545057550","https://openalex.org/W2119075126","https://openalex.org/W2154764532","https://openalex.org/W2786464090","https://openalex.org/W214000103","https://openalex.org/W2581529526","https://openalex.org/W2327974553","https://openalex.org/W3035861620","https://openalex.org/W2899213905","https://openalex.org/W2755571012","https://openalex.org/W2801037426","https://openalex.org/W2805634756"],"abstract_inverted_index":{"Identifying":[0],"important":[1,81],"actors":[2],"(or":[3],"nodes)":[4],"in":[5,13,43,83,116,143,258],"a":[6,10,55,74,127,130,163],"two-mode":[7,84],"network":[8,35,62,144,193],"is":[9,234],"crucial":[11],"challenge":[12],"mining,":[14],"analyzing,":[15],"and":[16,64,112,167,207,215,252],"interpreting":[17],"real-world":[18,166],"networks.":[19,85],"While":[20],"traditional":[21,226],"bipartite":[22,76,177],"centrality":[23,77,122,178,227],"indices":[24],"are":[25,40,113],"often":[26],"used":[27],"to":[28,104,224],"recognize":[29],"key":[30,209],"nodes":[31,82,106,137],"that":[32,107,171,199],"influence":[33,133],"the":[34,61,87,95,99,181,200,213,230],"information":[36],"flow,":[37],"inaccurate":[38],"results":[39],"frequently":[41],"obtained":[42],"intricate":[44],"situations":[45],"such":[46],"as":[47,219,221],"massive":[48],"networks":[49,169],"with":[50],"complex":[51],"local":[52],"structures":[53],"or":[54],"lack":[56],"of":[57,91,101,155,165,202,217,260],"complete":[58],"knowledge":[59],"about":[60],"topology":[63],"certain":[65],"properties.":[66],"In":[67,153],"this":[68],"paper,":[69],"we":[70],"introduce":[71],"Bi-face":[72],"(BF),":[73],"new":[75],"measurement":[78],"for":[79],"identifying":[80,156],"Using":[86],"powerful":[88],"mathematical":[89],"formalism":[90],"Formal":[92],"Concept":[93],"Analysis,":[94],"BF":[96,172,218,233],"measure":[97],"exploits":[98],"faces":[100],"concept":[102],"intents":[103],"detect":[105],"have":[108],"influential":[109,205],"bicliques":[110,139,210],"connectivity":[111],"not":[114,141],"located":[115],"irrelevant":[117],"bridges.":[118,152],"Unlike":[119],"off-the":[120],"shelf":[121],"indices,":[123],"it":[124],"quantifies":[125],"how":[126],"node":[128,158,189],"has":[129],"cohesive":[131],"substructure":[132],"on":[134,162,192],"its":[135,148,222],"neighbour":[136],"via":[138],"while":[140],"being":[142],"core-peripheral":[145],"ones":[146],"through":[147],"absence":[149],"from":[150],"non-influential":[151],"terms":[154,259],"accurate":[157,183],"centrality,":[159],"our":[160],"experiments":[161],"variety":[164],"synthetic":[168],"show":[170],"outperforms":[173],"several":[174],"state-of-the":[175],"art":[176],"measures,":[179],"producing":[180],"most":[182],"Kendall":[184],"coefficient.":[185],"It":[186],"provides":[187],"unique":[188],"identification":[190],"based":[191],"topology.":[194],"The":[195],"findings":[196],"also":[197],"demonstrate":[198],"presence":[201],"terminal":[203],"nodes,":[204],"bridges,":[206],"overlapping":[208],"impacts":[211],"both":[212],"performance":[214],"behaviour":[216],"well":[220],"relationship":[223],"other":[225],"measures.":[228],"On":[229],"datasets":[231],"tested,":[232],"at":[235],"least":[236],"twenty-three":[237],"times":[238,243,248,254],"faster":[239,244,249,255],"than":[240,245,250,256],"betweenness,":[241],"eleven":[242],"percolation,":[246],"nine":[247],"eigenvector,":[251],"ten":[253],"closeness":[257],"computation.":[261]},"counts_by_year":[],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}