{"id":"https://openalex.org/W2115155307","doi":"https://doi.org/10.14778/1687627.1687698","title":"A particle-and-density based evolutionary clustering method for dynamic networks","display_name":"A particle-and-density based evolutionary clustering method for dynamic networks","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2115155307","doi":"https://doi.org/10.14778/1687627.1687698","mag":"2115155307"},"language":"en","primary_location":{"id":"doi:10.14778/1687627.1687698","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687698","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5100362662","display_name":"Min\u2010Soo Kim","orcid":"https://orcid.org/0000-0002-3478-1277"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Min-Soo Kim","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100362662"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":9.1669,"has_fulltext":false,"cited_by_count":248,"citation_normalized_percentile":{"value":0.98579563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"2","issue":"1","first_page":"622","last_page":"633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9714999794960022,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7090559005737305},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.7055476903915405},{"id":"https://openalex.org/keywords/clique-percolation-method","display_name":"Clique percolation method","score":0.6550977230072021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986229181289673},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.5856883525848389},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4217313528060913},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.4201209247112274},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4165908098220825},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4158175587654114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37577539682388306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35403692722320557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3003799021244049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2755167484283447}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7090559005737305},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.7055476903915405},{"id":"https://openalex.org/C128243737","wikidata":"https://www.wikidata.org/wiki/Q5134414","display_name":"Clique percolation method","level":3,"score":0.6550977230072021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986229181289673},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.5856883525848389},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4217313528060913},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.4201209247112274},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4165908098220825},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4158175587654114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37577539682388306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35403692722320557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3003799021244049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2755167484283447},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/1687627.1687698","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687698","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.4510","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.4510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/2/vldb09-404.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.178.47","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.178.47","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vldb2009.org/files/Slides/3188-VLDB%202009%20presentation%28msk%29.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W27394026","https://openalex.org/W950821216","https://openalex.org/W1479863711","https://openalex.org/W1497709229","https://openalex.org/W1530595269","https://openalex.org/W1673310716","https://openalex.org/W1981398125","https://openalex.org/W1985796418","https://openalex.org/W2029906306","https://openalex.org/W2037705937","https://openalex.org/W2040466507","https://openalex.org/W2050153214","https://openalex.org/W2061901927","https://openalex.org/W2089458547","https://openalex.org/W2095293504","https://openalex.org/W2097876158","https://openalex.org/W2102030701","https://openalex.org/W2111708605","https://openalex.org/W2122278421","https://openalex.org/W2122710250","https://openalex.org/W2134008243","https://openalex.org/W2146058975","https://openalex.org/W2151078464","https://openalex.org/W2155640700","https://openalex.org/W2166563561","https://openalex.org/W2170337404","https://openalex.org/W2293546752","https://openalex.org/W2432978112","https://openalex.org/W3141776272","https://openalex.org/W3148190347","https://openalex.org/W6628682275","https://openalex.org/W6630032238","https://openalex.org/W6660098309","https://openalex.org/W6681338837"],"related_works":["https://openalex.org/W2153048426","https://openalex.org/W1973446888","https://openalex.org/W2613291114","https://openalex.org/W2079295974","https://openalex.org/W1989028327","https://openalex.org/W2033507223","https://openalex.org/W2349859869","https://openalex.org/W2889168673","https://openalex.org/W3108103273","https://openalex.org/W2898992240"],"abstract_inverted_index":{"Recently,":[0],"dynamic":[1,25,103,134,187],"networks":[2,26],"are":[3,97],"attracting":[4],"increasing":[5],"interest":[6],"due":[7],"to":[8,195,253,266],"their":[9],"high":[10,221],"potential":[11],"in":[12,24,101,184],"capturing":[13],"natural":[14],"and":[15,55,77,92,128,146,178,205,229,281,299],"social":[16],"phenomena":[17,100],"over":[18,75,85],"time.":[19,86],"Discovery":[20],"of":[21,48,59,73,83,89,94,123,125,139,141,154,169,174,200,202,220,245,260,271,310],"evolutionary":[22,34,114],"communities":[23,74,91,96,124,201],"has":[27,44],"become":[28],"a":[29,45,70,110,120,133,137,147,150,157,166,185,197,209,225,235],"critical":[30],"task.":[31],"The":[32,87,258],"previous":[33],"clustering":[35,115,211,297],"methods":[36],"usually":[37],"adopt":[38],"the":[39,50,172,179,261,269,275,296,301,304,314],"temporal":[40,53],"smoothness":[41],"framework,":[42],"which":[43],"desirable":[46],"feature":[47],"controlling":[49],"balance":[51],"between":[52],"noise":[54],"true":[56],"concept":[57],"drift":[58],"communities.":[60],"They,":[61],"however,":[62],"have":[63],"some":[64],"major":[65],"drawbacks:":[66],"(1)":[67],"assuming":[68],"only":[69],"fixed":[71],"number":[72,122,199],"time;":[76],"(2)":[78],"not":[79],"allowing":[80],"arbitrary":[81,126,203],"start/stop":[82],"community":[84,148,273],"forming":[88,127,204,279],"new":[90,111],"dissolving":[93,282],"existing":[95],"very":[98],"common":[99],"real":[102],"networks.":[104],"In":[105],"this":[106],"paper,":[107],"we":[108],"propose":[109,208,234],"particle-and-density":[112],"based":[113,238],"method":[116,212,237,263,294],"that":[117,213,242,292],"efficiently":[118,214],"discovers":[119],"variable":[121,198],"dissolving.":[129,206],"We":[130,207,232],"first":[131],"model":[132],"network":[135,188],"as":[136,149,249,251],"collection":[138],"lots":[140],"particles":[142],"called":[143,156],"nano-communities":[144],",":[145,280],"densely":[151],"connected":[152],"subset":[153],"particles,":[155],"quasi":[158,180,255],"l-clique-by-clique":[159],"(shortly,":[160],"l-KK":[161,181,256],").":[162],"Each":[163],"particle":[164],"contains":[165],"small":[167],"amount":[168],"information":[170,240],"about":[171],"evolution":[173],"data":[175,289],"or":[176],"patterns,":[177],"s":[182],"inherent":[183],"given":[186],"provide":[189],"us":[190,265],"with":[191,313],"guidance":[192],"on":[193,239],"how":[194],"find":[196],"density-based":[210],"finds":[215],"temporally":[216],"smoothed":[217,246],"local":[218,247],"clusters":[219,248],"quality":[222],"by":[223,286,307],"using":[224,287],"cost":[226],"embedding":[227],"technique":[228],"optimal":[230],"modularity.":[231],"also":[233],"mapping":[236,262],"theory":[241],"makes":[243],"sequences":[244],"close":[250],"possible":[252],"data-inherent":[254],"s.":[257],"result":[259],"allows":[264],"easily":[267],"identify":[268],"stage":[270],"each":[272],"among":[274],"three":[276],"stages:":[277],"evolving,":[278],".":[283],"Experimental":[284],"studies,":[285],"various":[288],"sets,":[290],"demonstrate":[291],"our":[293],"improves":[295],"accuracy,":[298],"at":[300],"same":[302],"time,":[303],"time":[305],"performance":[306],"an":[308],"order":[309],"magnitude":[311],"compared":[312],"current":[315],"state-of-the":[316],"art":[317],"method.":[318]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":13}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}