{"id":"https://openalex.org/W1996916311","doi":"https://doi.org/10.1109/cec.2014.6900570","title":"Evolutionary community detection in social networks","display_name":"Evolutionary community detection in social networks","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1996916311","doi":"https://doi.org/10.1109/cec.2014.6900570","mag":"1996916311"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024619357","display_name":"Tiantian He","orcid":"https://orcid.org/0000-0003-4839-681X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tiantian He","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","[Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"[Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China]","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107049960","display_name":"Keith C. C. Chan","orcid":"https://orcid.org/0000-0001-7962-6564"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Keith C. C. Chan","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","[Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"[Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China]","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":2.3211,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89299553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1496","last_page":"1503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9629999995231628,"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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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":0.6599217653274536},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6589549779891968},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5185235738754272},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5009176731109619},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.49869465827941895},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4620698094367981},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4352501928806305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4314321279525757},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3581255078315735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.347072958946228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33947277069091797},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1744411587715149},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10359075665473938},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09782567620277405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599217653274536},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6589549779891968},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5185235738754272},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5009176731109619},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49869465827941895},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4620698094367981},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4352501928806305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4314321279525757},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3581255078315735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.347072958946228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33947277069091797},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1744411587715149},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10359075665473938},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09782567620277405},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2014.6900570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/35632","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/35632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W201726549","https://openalex.org/W1497256448","https://openalex.org/W1607198972","https://openalex.org/W1668065109","https://openalex.org/W1971421925","https://openalex.org/W1987971958","https://openalex.org/W2004265567","https://openalex.org/W2030794512","https://openalex.org/W2047940964","https://openalex.org/W2089458547","https://openalex.org/W2121947440","https://openalex.org/W2127048411","https://openalex.org/W2134931490","https://openalex.org/W2152284345","https://openalex.org/W2325276118","https://openalex.org/W3102641634","https://openalex.org/W4214502461","https://openalex.org/W4298161285","https://openalex.org/W6608198122","https://openalex.org/W6843920793"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W4299389082","https://openalex.org/W1943663474","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1985939653","https://openalex.org/W1606499289","https://openalex.org/W2741252017","https://openalex.org/W2911578165","https://openalex.org/W2626282817"],"abstract_inverted_index":{"As":[0],"people":[1],"that":[2,44,153],"share":[3],"common":[4],"characteristics":[5],"and":[6,104,110,161,186,202,221],"interests":[7],"tend":[8],"to":[9,27,40,207,226],"communicate":[10],"with":[11,57,63,182,217],"each":[12,58,141],"other":[13,59,191],"more":[14,55],"frequently,":[15],"they":[16],"form":[17],"communities":[18,30,43,50,115,149,178],"within":[19,158,185],"social":[20,87],"networks.":[21],"Several":[22],"methods":[23,36],"have":[24,37,154],"been":[25,38,215],"developed":[26],"discover":[28,42],"such":[29,169],"based":[31,74],"on":[32,75],"topological":[33,99],"metrics.":[34],"These":[35],"used":[39],"successfully":[41],"are":[45],"relatively":[46],"large,":[47],"but":[48],"for":[49,114,140,148],"characterized":[51],"by":[52,123],"members":[53,181],"interacting":[54,62],"frequently":[56],"rather":[60],"than":[61],"many":[64],"others,":[65],"we":[66],"propose":[67],"here":[68],"an":[69,79,130],"effective":[70],"method":[71],"which":[72],"is":[73,224],"the":[76,102,105,108,117,125,144,210],"use":[77],"of":[78,101,107,137,143,180,199],"evolutionary":[80,211],"algorithm":[81],"(EA)":[82],"called":[83,205],"ECDA.":[84],"Given":[85],"a":[86,91,135,151,159,170,174,195],"network":[88,152,175],"represented":[89],"as":[90,129],"graph,":[92],"unlike":[93],"existing":[94],"approaches,":[95],"ECDA":[96,146,172,193,213],"considers":[97],"both":[98],"metrics":[100],"graph":[103],"attributes":[106,184,188],"vertices":[109],"edges":[111],"when":[112],"detecting":[113],"in":[116,150],"network.":[118],"It":[119],"performs":[120],"its":[121,222],"task":[122],"formulating":[124],"community":[126,160],"detection":[127],"problem":[128],"optimization":[131],"problem.":[132],"By":[133],"computing":[134],"measure":[136],"statistical":[138],"significance":[139,157,163],"attribute":[142],"vertices,":[145],"looks":[147],"maximal":[155],"connection":[156],"minimal":[162],"between":[164],"any":[165],"two":[166],"communities.":[167],"With":[168],"strategy,":[171],"partitions":[173],"into":[176],"different":[177,187],"consisting":[179,198],"similar":[183],"without.":[189],"Unlike":[190],"EAs,":[192],"adopts":[194],"reproduction":[196],"process":[197],"special":[200],"crossover":[201],"mutation":[203],"operators,":[204],"Self-Evolution,":[206],"speed":[208],"up":[209],"process.":[212],"has":[214],"tested":[216],"several":[218],"real":[219],"datasets":[220],"performance":[223],"found":[225],"be":[227],"very":[228],"promising.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}