{"id":"https://openalex.org/W2112804575","doi":"https://doi.org/10.1145/2492517.2492633","title":"Incremental local community identification in dynamic social networks","display_name":"Incremental local community identification in dynamic social networks","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2112804575","doi":"https://doi.org/10.1145/2492517.2492633","mag":"2112804575"},"language":"en","primary_location":{"id":"doi:10.1145/2492517.2492633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492517.2492633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","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/A5051987721","display_name":"Mansoureh Takaffoli","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mansoureh Takaffoli","raw_affiliation_strings":["University of Alberta, Edmonton, Alberta, Canada","Department of Computer Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computer Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043159673","display_name":"Reihaneh Rabbany","orcid":"https://orcid.org/0000-0003-2348-0353"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Reihaneh Rabbany","raw_affiliation_strings":["University of Alberta, Edmonton, Alberta, Canada","Department of Computer Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computer Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053745515","display_name":"Osmar R. Zai\u034f\u0308ane","orcid":"https://orcid.org/0000-0002-0060-5988"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Osmar R. Za\u00efane","raw_affiliation_strings":["University of Alberta, Edmonton, Alberta, Canada","Department of Computer Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computer Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":4.7041,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95175971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9965999722480774,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/soundness","display_name":"Soundness","score":0.7890139818191528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7371298670768738},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6108291745185852},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5556042790412903},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5285873413085938},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5089139938354492},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4712888300418854},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46934378147125244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45999348163604736},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32812923192977905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203713893890381},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12662160396575928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10477572679519653},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10296070575714111},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08628737926483154},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0744171142578125}],"concepts":[{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.7890139818191528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371298670768738},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6108291745185852},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5556042790412903},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5285873413085938},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5089139938354492},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4712888300418854},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46934378147125244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45999348163604736},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32812923192977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203713893890381},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12662160396575928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10477572679519653},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10296070575714111},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08628737926483154},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0744171142578125},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2492517.2492633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492517.2492633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.4934","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webdocs.cs.ualberta.ca/~zaiane/postscript/Asonam2013.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.728.5998","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.728.5998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webdocs.cs.ualberta.ca/%7Erabbanyk/research/Papers/asonam13takaffolilong.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1528751587","https://openalex.org/W1585089995","https://openalex.org/W1629774830","https://openalex.org/W2007516075","https://openalex.org/W2060772621","https://openalex.org/W2089946007","https://openalex.org/W2092124750","https://openalex.org/W2097876158","https://openalex.org/W2115155307","https://openalex.org/W2124521159","https://openalex.org/W2131681506","https://openalex.org/W2133580306","https://openalex.org/W2145977038","https://openalex.org/W2146058975","https://openalex.org/W2148672326","https://openalex.org/W2151936673","https://openalex.org/W2232198868","https://openalex.org/W2293546752","https://openalex.org/W2432978112","https://openalex.org/W3099768174"],"related_works":["https://openalex.org/W4302559785","https://openalex.org/W2000943029","https://openalex.org/W2950376466","https://openalex.org/W1969483203","https://openalex.org/W2466303427","https://openalex.org/W1511249877","https://openalex.org/W1578828174","https://openalex.org/W2002785646","https://openalex.org/W3003507207","https://openalex.org/W4376485726"],"abstract_inverted_index":{"Social":[0],"networks":[1,24,55],"are":[2,12,77,115],"usually":[3],"drawn":[4],"from":[5,121],"the":[6,20,37,42,50,82,112,119,122,150],"interactions":[7],"between":[8],"individuals,":[9],"and":[10,14,39,76,90,93,153],"therefore":[11],"temporal":[13],"dynamic":[15,68],"in":[16,66,81,108,111],"essence.":[17],"Examining":[18],"how":[19],"structure":[21,44,59],"of":[22,45,49,54,61,74,155],"these":[23,46],"changes":[25,80],"over":[26,72,95,141],"time":[27,75,114,124],"provides":[28],"insights":[29],"into":[30],"their":[31,57],"evolution":[32],"patterns,":[33],"factors":[34],"that":[35],"trigger":[36],"changes,":[38],"ultimately":[40],"predict":[41],"future":[43],"networks.":[47],"One":[48],"key":[51],"structural":[52],"characteristics":[53],"is":[56,134],"community":[58,105],"--groups":[60],"densely":[62],"interconnected":[63],"nodes.":[64],"Communities":[65],"a":[67,102],"social":[69],"network":[70],"span":[71],"periods":[73],"affected":[78],"by":[79],"underlying":[83],"population,":[84],"i.e.":[85],"they":[86],"have":[87],"fluctuating":[88],"members":[89],"can":[91],"grow":[92],"shrink":[94],"time.":[96,142],"In":[97],"this":[98,131],"paper,":[99],"we":[100],"introduce":[101],"new":[103],"incremental":[104,132],"mining":[106],"approach,":[107],"which":[109],"communities":[110,120,140],"current":[113],"obtained":[116],"based":[117],"on":[118,146],"past":[123],"frame.":[125],"Compared":[126],"to":[127],"previous":[128],"independent":[129],"approaches,":[130],"approach":[133],"more":[135],"effective":[136],"at":[137],"detecting":[138],"stable":[139],"Extensive":[143],"experimental":[144],"studies":[145],"real":[147],"datasets,":[148],"demonstrate":[149],"applicability,":[151],"effectiveness,":[152],"soundness":[154],"our":[156],"proposed":[157],"framework.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}