{"id":"https://openalex.org/W2990898309","doi":"https://doi.org/10.1109/tkde.2019.2954869","title":"Evolutionary Clustering via Message Passing","display_name":"Evolutionary Clustering via Message Passing","publication_year":2019,"publication_date":"2019-11-21","ids":{"openalex":"https://openalex.org/W2990898309","doi":"https://doi.org/10.1109/tkde.2019.2954869","mag":"2990898309"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2954869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2954869","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5064545091","display_name":"Natalia M. Arzeno","orcid":"https://orcid.org/0000-0003-3113-0409"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Natalia M. Arzeno","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-3113-0409","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067602750","display_name":"Haris Vikalo","orcid":"https://orcid.org/0000-0002-7945-4114"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haris Vikalo","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-7945-4114","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064545091"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.4319,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.6267995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"6","first_page":"2452","last_page":"2466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9889000058174133,"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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9322999715805054,"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/cluster-analysis","display_name":"Cluster analysis","score":0.9019931554794312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8050417900085449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5555828809738159},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5193561315536499},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5096724033355713},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.48402971029281616},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.48260247707366943},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4532396197319031},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4285958409309387},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4265567362308502},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4120492935180664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3418360650539398},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2920594811439514}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9019931554794312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050417900085449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5555828809738159},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5193561315536499},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5096724033355713},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.48402971029281616},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.48260247707366943},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4532396197319031},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4285958409309387},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4265567362308502},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4120492935180664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3418360650539398},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2920594811439514},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2954869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2954869","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W258053484","https://openalex.org/W1604980173","https://openalex.org/W1627117674","https://openalex.org/W1663973292","https://openalex.org/W1794961931","https://openalex.org/W1982180967","https://openalex.org/W1987971958","https://openalex.org/W1998819761","https://openalex.org/W2003610960","https://openalex.org/W2022651954","https://openalex.org/W2023940283","https://openalex.org/W2025737586","https://openalex.org/W2026667250","https://openalex.org/W2033403400","https://openalex.org/W2039786238","https://openalex.org/W2039944676","https://openalex.org/W2051570942","https://openalex.org/W2062580714","https://openalex.org/W2065347048","https://openalex.org/W2093038664","https://openalex.org/W2098873466","https://openalex.org/W2099668235","https://openalex.org/W2104990759","https://openalex.org/W2105979014","https://openalex.org/W2120669055","https://openalex.org/W2122278421","https://openalex.org/W2127048411","https://openalex.org/W2131471436","https://openalex.org/W2141685271","https://openalex.org/W2145977038","https://openalex.org/W2148727093","https://openalex.org/W2151936673","https://openalex.org/W2158249175","https://openalex.org/W2165232124","https://openalex.org/W2168878667","https://openalex.org/W2170337404","https://openalex.org/W2188305107","https://openalex.org/W2293546752","https://openalex.org/W2322239578","https://openalex.org/W2594639291","https://openalex.org/W2713961636","https://openalex.org/W2963483785","https://openalex.org/W3021135608","https://openalex.org/W3021577154","https://openalex.org/W3022887294","https://openalex.org/W3099747878","https://openalex.org/W3102641634","https://openalex.org/W3103599014","https://openalex.org/W3104117687","https://openalex.org/W3105175345","https://openalex.org/W3126003237","https://openalex.org/W4244030505","https://openalex.org/W6638058728","https://openalex.org/W6675897897","https://openalex.org/W6680953844"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2362911195","https://openalex.org/W2245611357","https://openalex.org/W2358586643","https://openalex.org/W2794209582","https://openalex.org/W2897883632","https://openalex.org/W2181939267","https://openalex.org/W2567087402","https://openalex.org/W2065347048","https://openalex.org/W2361333219"],"abstract_inverted_index":{"We":[0],"are":[1,95],"often":[2],"interested":[3],"in":[4,32],"clustering":[5,16,23,44,62,83,119],"objects":[6],"that":[7,40,64,94,121],"evolve":[8],"over":[9],"time":[10,20,49],"and":[11,29,101,109,114,142,153],"identifying":[12],"solutions":[13],"to":[14,39,82,105,125],"the":[15,80,88,91,127,138,159],"problem":[17],"for":[18],"every":[19],"step.":[21],"Evolutionary":[22],"provides":[24],"insight":[25],"into":[26],"cluster":[27,33,107,112],"evolution":[28],"temporal":[30,77],"changes":[31],"memberships":[34],"while":[35],"enabling":[36],"performance":[37],"superior":[38],"achieved":[41],"by":[42,68,86],"independently":[43],"data":[45,66,85,99,155],"collected":[46],"at":[47],"different":[48],"points.":[50],"In":[51],"this":[52],"article":[53],"we":[54],"introduce":[55],"evolutionary":[56,61,118],"affinity":[57],"propagation":[58],"(EAP),":[59],"an":[60],"algorithm":[63],"groups":[65],"points":[67],"exchanging":[69],"messages":[70],"on":[71,151],"a":[72],"factor":[73,92],"graph.":[74],"EAP":[75,136,161],"promotes":[76],"smoothness":[78],"of":[79,90,111,129,140,158],"solution":[81],"time-evolving":[84],"linking":[87],"nodes":[89,104],"graph":[93],"associated":[96],"with":[97,148],"adjacent":[98],"snapshots,":[100],"introduces":[102],"consensus":[103],"enable":[106],"tracking":[108],"identification":[110],"births":[113],"deaths.":[115],"Unlike":[116],"existing":[117,149],"methods":[120,150],"require":[122],"additional":[123],"processing":[124],"approximate":[126],"number":[128,139],"clusters":[130,141],"or":[131],"match":[132],"them":[133,144],"across":[134],"time,":[135],"determines":[137],"tracks":[143],"automatically.":[145],"A":[146],"comparison":[147],"simulated":[152],"experimental":[154],"demonstrates":[156],"effectiveness":[157],"proposed":[160],"algorithm.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}