{"id":"https://openalex.org/W4405717910","doi":"https://doi.org/10.1109/tsmc.2024.3510633","title":"How to Choose the Most Appropriate Centrality Measure? A Decision-Tree Approach","display_name":"How to Choose the Most Appropriate Centrality Measure? A Decision-Tree Approach","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405717910","doi":"https://doi.org/10.1109/tsmc.2024.3510633"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2024.3510633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3510633","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050459701","display_name":"Pavel Chebotarev","orcid":"https://orcid.org/0000-0001-8232-847X"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Pavel Chebotarev","raw_affiliation_strings":["Department of Mathematics, Technion—Israel Institute of Technology, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0001-8232-847X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Technion—Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044843115","display_name":"Dmitry Gubanov","orcid":"https://orcid.org/0000-0002-0099-3386"},"institutions":[{"id":"https://openalex.org/I4210157430","display_name":"V. A. Trapeznikov Institute of Control Sciences","ror":"https://ror.org/05f3yt521","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210157430","https://openalex.org/I4210164537"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry A. Gubanov","raw_affiliation_strings":["Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0002-0099-3386","affiliations":[{"raw_affiliation_string":"Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I4210157430"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9715,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85194993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"55","issue":"3","first_page":"1694","last_page":"1706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13402","display_name":"Business Strategy and Innovation","score":0.04859999939799309,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13402","display_name":"Business Strategy and Innovation","score":0.04859999939799309,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7825062274932861},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6518794298171997},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6282158493995667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4582381248474121},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4237293004989624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36306846141815186},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3548864424228668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3381200432777405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27396970987319946},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2598021626472473},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22592541575431824},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07708042860031128}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7825062274932861},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6518794298171997},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6282158493995667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4582381248474121},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4237293004989624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36306846141815186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3548864424228668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3381200432777405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27396970987319946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2598021626472473},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22592541575431824},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07708042860031128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2024.3510633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3510633","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G4401702316","display_name":null,"funder_award_id":"101039692","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W162695355","https://openalex.org/W178019458","https://openalex.org/W1614319616","https://openalex.org/W1626832437","https://openalex.org/W1714396367","https://openalex.org/W1971937094","https://openalex.org/W1994200682","https://openalex.org/W1999634786","https://openalex.org/W2026417691","https://openalex.org/W2027117212","https://openalex.org/W2030435519","https://openalex.org/W2032121342","https://openalex.org/W2035421116","https://openalex.org/W2037967274","https://openalex.org/W2040198797","https://openalex.org/W2040763707","https://openalex.org/W2053507997","https://openalex.org/W2066636486","https://openalex.org/W2080753241","https://openalex.org/W2087194317","https://openalex.org/W2089125183","https://openalex.org/W2093456153","https://openalex.org/W2110305779","https://openalex.org/W2117587378","https://openalex.org/W2121974408","https://openalex.org/W2127387319","https://openalex.org/W2157635833","https://openalex.org/W2166319632","https://openalex.org/W2171137858","https://openalex.org/W2266724080","https://openalex.org/W2271295020","https://openalex.org/W2288971878","https://openalex.org/W2293793234","https://openalex.org/W2327230547","https://openalex.org/W2470757901","https://openalex.org/W2497633600","https://openalex.org/W2559865276","https://openalex.org/W2561206449","https://openalex.org/W2561307446","https://openalex.org/W2611707861","https://openalex.org/W2765203444","https://openalex.org/W2788473200","https://openalex.org/W2788952779","https://openalex.org/W2794042107","https://openalex.org/W2803095812","https://openalex.org/W2889337618","https://openalex.org/W2891126957","https://openalex.org/W2895935703","https://openalex.org/W2903243694","https://openalex.org/W2908153988","https://openalex.org/W2918988263","https://openalex.org/W2963343300","https://openalex.org/W2963615156","https://openalex.org/W2980995841","https://openalex.org/W2989659188","https://openalex.org/W3004064601","https://openalex.org/W3092698439","https://openalex.org/W3100458113","https://openalex.org/W3117750614","https://openalex.org/W3122606699","https://openalex.org/W3122910277","https://openalex.org/W3175059609","https://openalex.org/W3190734472","https://openalex.org/W3207419782","https://openalex.org/W4312707388","https://openalex.org/W4312944761","https://openalex.org/W4319033145","https://openalex.org/W4387470493","https://openalex.org/W6600552058","https://openalex.org/W6633478427","https://openalex.org/W6736059688","https://openalex.org/W6785556598","https://openalex.org/W6787394939","https://openalex.org/W6863585488","https://openalex.org/W7011860015"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W3134840015","https://openalex.org/W4384470695","https://openalex.org/W4366979180"],"abstract_inverted_index":{"Centrality":[0],"metrics":[1],"play":[2],"a":[3,25,45,91,97,114,131,215],"crucial":[4],"role":[5],"in":[6,218],"network":[7],"analysis,":[8],"while":[9],"the":[10,17,37,71,77,108,119,123,145,177,186,191,235],"choice":[11],"of":[12,19,28,80,93,99,134,163,179,220,238],"specific":[13,42,64],"measures":[14,109,180],"significantly":[15],"influences":[16],"accuracy":[18],"conclusions":[20],"as":[21,100,103,202],"each":[22,63,111],"measure":[23,120,228],"represents":[24],"unique":[26],"concept":[27,79],"node":[29],"importance.":[30],"Among":[31],"over":[32],"400":[33],"proposed":[34,212],"indices,":[35,140,200],"selecting":[36],"most":[38],"suitable":[39],"ones":[40],"for":[41,62,161,227],"applications":[43],"remains":[44],"challenge.":[46],"Existing":[47],"approaches\u2014model-based,":[48],"data-driven,":[49],"and":[50,117,141,205,222,230],"axiomatic\u2014have":[51],"limitations,":[52],"requiring":[53],"association":[54],"with":[55,122,144],"models,":[56],"training":[57],"datasets,":[58],"or":[59,174],"restrictive":[60],"axioms":[61,171],"application.":[65],"To":[66],"address":[67],"this,":[68],"we":[69],"introduce":[70],"culling":[72,87,187,192],"method,":[73],"which":[74],"relies":[75],"on":[76,83,197],"expert":[78],"centrality":[81,199,239],"behavior":[82],"simple":[84,169],"graphs.":[85],"The":[86,211],"method":[88,193],"involves":[89],"forming":[90],"set":[92,133,178],"candidate":[94],"measures,":[95,159,208],"generating":[96],"list":[98],"small":[101,151],"graphs":[102],"possible":[104],"needed":[105],"to":[106,130,155],"distinguish":[107],"from":[110],"other,":[112],"constructing":[113],"decision-tree":[115],"survey,":[116],"identifying":[118],"consistent":[121],"expert\u2019s":[124],"concept.":[125],"We":[126],"apply":[127],"this":[128],"approach":[129,213],"diverse":[132],"40":[135,158],"centralities,":[136],"including":[137],"novel":[138],"kernel-based":[139],"combine":[142],"it":[143],"axiomatic":[146],"approach.":[147],"Remarkably,":[148],"only":[149],"13":[150],"1-trees":[152],"are":[153],"sufficient":[154],"separate":[156],"all":[157],"even":[160],"pairs":[162],"closely":[164],"related":[165],"ones.":[166],"By":[167],"adopting":[168],"ordinal":[170],"like":[172],"Self-consistency":[173],"Bridge":[175],"axiom,":[176],"can":[181],"be":[182],"drastically":[183],"reduced":[184],"making":[185],"survey":[188],"short.":[189],"Applying":[190],"provides":[194],"insightful":[195],"findings":[196],"some":[198],"such":[201],"PageRank,":[203],"Bridging,":[204],"dissimilarity-based":[206],"Eigencentrality":[207],"among":[209],"others.":[210],"offers":[214],"cost-effective":[216],"solution":[217],"terms":[219],"labor":[221],"time,":[223],"complementing":[224],"existing":[225],"methods":[226],"selection,":[229],"providing":[231],"deeper":[232],"insights":[233],"into":[234],"underlying":[236],"mechanisms":[237],"measures.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}