{"id":"https://openalex.org/W4365459358","doi":"https://doi.org/10.1109/mci.2023.3245729","title":"Multilayer Network Community Detection: A Novel Multi-Objective Evolutionary Algorithm Based on Consensus Prior Information [Feature]","display_name":"Multilayer Network Community Detection: A Novel Multi-Objective Evolutionary Algorithm Based on Consensus Prior Information [Feature]","publication_year":2023,"publication_date":"2023-04-13","ids":{"openalex":"https://openalex.org/W4365459358","doi":"https://doi.org/10.1109/mci.2023.3245729"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2023.3245729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2023.3245729","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"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 Computational Intelligence Magazine","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/A5086236078","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0002-5865-2285"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067487593","display_name":"Ze Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Yin","raw_affiliation_strings":["Southwest University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680344","display_name":"Xianghua Li","orcid":"https://orcid.org/0000-0003-0253-3882"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghua Li","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.9897,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97680199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"18","issue":"2","first_page":"46","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9635000228881836,"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"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9399999976158142,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970956325531006},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6279813051223755},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5259818434715271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5251842737197876},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5187944769859314},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4730100929737091},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4660177528858185},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3921686112880707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3363078832626343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31998878717422485},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25310468673706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970956325531006},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6279813051223755},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5259818434715271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5251842737197876},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5187944769859314},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4730100929737091},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4660177528858185},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3921686112880707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3363078832626343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31998878717422485},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25310468673706055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mci.2023.3245729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2023.3245729","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"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 Computational Intelligence Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G192882225","display_name":null,"funder_award_id":"U22B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2703680814","display_name":null,"funder_award_id":"62261136549","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5518866307","display_name":null,"funder_award_id":"62271411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8164477345","display_name":"\u6570\u636e\u9a71\u52a8\u7684\u793e\u4ea4\u7f51\u7edc\u4f20\u64ad\u63a7\u5236\u5173\u952e\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"61976181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W156422979","https://openalex.org/W1506010655","https://openalex.org/W1812137573","https://openalex.org/W1966286510","https://openalex.org/W1987219048","https://openalex.org/W2031232041","https://openalex.org/W2042847482","https://openalex.org/W2045864404","https://openalex.org/W2059861509","https://openalex.org/W2074617510","https://openalex.org/W2080161383","https://openalex.org/W2082380642","https://openalex.org/W2097464974","https://openalex.org/W2101324110","https://openalex.org/W2106309139","https://openalex.org/W2111002549","https://openalex.org/W2123583562","https://openalex.org/W2128812848","https://openalex.org/W2136676173","https://openalex.org/W2156773695","https://openalex.org/W2171552940","https://openalex.org/W2295258851","https://openalex.org/W2405459681","https://openalex.org/W2566207299","https://openalex.org/W2567284892","https://openalex.org/W2584278510","https://openalex.org/W2730820089","https://openalex.org/W2733274672","https://openalex.org/W2743429087","https://openalex.org/W2744716582","https://openalex.org/W2759375625","https://openalex.org/W2767346227","https://openalex.org/W2802815569","https://openalex.org/W2921065608","https://openalex.org/W2940083334","https://openalex.org/W2962756421","https://openalex.org/W2963013895","https://openalex.org/W2964211259","https://openalex.org/W2969640414","https://openalex.org/W2980876565","https://openalex.org/W2997181101","https://openalex.org/W3031414651","https://openalex.org/W3083523748","https://openalex.org/W3104180001","https://openalex.org/W3106488715","https://openalex.org/W3161111985","https://openalex.org/W3194841521","https://openalex.org/W3196387625","https://openalex.org/W3205439599","https://openalex.org/W4213009331","https://openalex.org/W4220822815","https://openalex.org/W4312052506","https://openalex.org/W6675134712"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W2294604808"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"multilayer":[3,39],"networks":[4],"have":[5],"served":[6],"as":[7,70],"effective":[8],"models":[9],"for":[10],"addressing":[11],"and":[12,73,119,136,142,150,176],"analyzing":[13],"real-world":[14],"systems":[15],"with":[16,113],"multiple":[17],"relationships.":[18],"Among":[19],"these":[20],"scenarios,":[21],"the":[22,30,62,111,120,147,158,161,165,168,173,183,190,199,205],"community":[23],"detection":[24],"(CD)":[25],"problem":[26],"is":[27,179],"one":[28],"of":[29,65,106,131,160,202],"most":[31,50,63],"prominent":[32],"research":[33,37],"hotspots.":[34],"Although":[35],"some":[36],"on":[38,54,95,140,157],"network":[40,67],"CD":[41],"(MCD)":[42],"has":[43],"been":[44],"proposed":[45,101],"to":[46,79,109,115,181,185,197],"address":[47],"this":[48,84,86,125],"problem,":[49,85],"studies":[51],"focus":[52],"only":[53],"topological":[55,116],"structures.":[56],"Therefore,":[57],"their":[58],"algorithms":[59],"cannot":[60],"extract":[61],"out":[64],"complementary":[66],"information,":[68,133,138,178],"such":[69],"node":[71],"similarities":[72],"low-rank":[74],"features,":[75],"which":[76,171],"may":[77],"lead":[78],"unsatisfactory":[80],"accuracy.":[81],"To":[82],"tackle":[83],"paper":[87,126],"proposes":[88],"a":[89,151],"novel":[90],"multi-objective":[91],"evolutionary":[92],"algorithm":[93,102,184],"based":[94,139],"consensus":[96],"prior":[97,107,132,148],"information":[98,108],"(MOEA-CPI).":[99],"The":[100],"takes":[103],"full":[104],"advantage":[105],"guide":[110,182],"MOEA":[112],"respect":[114],"structures,":[117],"initializations,":[118],"optimization":[121,166],"process.":[122],"More":[123],"specifically,":[124],"first":[127],"extracts":[128],"two":[129],"kinds":[130],"i.e.,":[134],"graph-level":[135,162],"node-level":[137,177],"Node2vec":[141],"Jaccard":[143],"similarity,":[144],"respectively.":[145],"Then,":[146],"layer":[149],"high-quality":[152],"initial":[153],"population":[154],"are":[155,195],"constructed":[156],"basis":[159],"information.":[163],"During":[164],"process,":[167],"genetic":[169],"operator,":[170],"integrates":[172],"weighting":[174],"strategy":[175],"applied":[180],"distribute":[186],"similar":[187],"nodes":[188],"into":[189],"same":[191],"community.":[192],"Extensive":[193],"experiments":[194],"implemented":[196],"prove":[198],"superior":[200],"performance":[201],"MOEA-CPI":[203],"over":[204],"state-of-the-art":[206],"methods.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
