{"id":"https://openalex.org/W1977660912","doi":"https://doi.org/10.1145/2517085","title":"Detecting Social Media Hidden Communities Using Dynamic Stochastic Blockmodel with Temporal Dirichlet Process","display_name":"Detecting Social Media Hidden Communities Using Dynamic Stochastic Blockmodel with Temporal Dirichlet Process","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1977660912","doi":"https://doi.org/10.1145/2517085","mag":"1977660912"},"language":"en","primary_location":{"id":"doi:10.1145/2517085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2517085","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","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/A5103328067","display_name":"Xuning Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuning Tang","raw_affiliation_strings":["Drexel University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086292931","display_name":"Christopher C. Yang","orcid":"https://orcid.org/0000-0001-5463-6926"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher C. Yang","raw_affiliation_strings":["Drexel University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1152,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.867794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"21"},"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":0.9986000061035156,"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":0.9871000051498413,"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/computer-science","display_name":"Computer science","score":0.8487468957901001},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6727454662322998},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6211825609207153},{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.512566089630127},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5069429874420166},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5012397766113281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46606069803237915},{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.45221391320228577},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41871178150177},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.41784530878067017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.393798828125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37889036536216736},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32376646995544434},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.141285240650177},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11188745498657227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8487468957901001},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6727454662322998},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6211825609207153},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.512566089630127},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5069429874420166},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5012397766113281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46606069803237915},{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.45221391320228577},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41871178150177},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.41784530878067017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.393798828125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37889036536216736},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32376646995544434},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.141285240650177},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11188745498657227},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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":1,"locations":[{"id":"doi:10.1145/2517085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2517085","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W151897409","https://openalex.org/W258053484","https://openalex.org/W1538021842","https://openalex.org/W1568436970","https://openalex.org/W1587900512","https://openalex.org/W1964869462","https://openalex.org/W1971421925","https://openalex.org/W1985796418","https://openalex.org/W1986007546","https://openalex.org/W1988020171","https://openalex.org/W2013661955","https://openalex.org/W2015370254","https://openalex.org/W2080972498","https://openalex.org/W2088240926","https://openalex.org/W2095293504","https://openalex.org/W2097876158","https://openalex.org/W2107107106","https://openalex.org/W2114244473","https://openalex.org/W2121194706","https://openalex.org/W2121947440","https://openalex.org/W2122278421","https://openalex.org/W2125050594","https://openalex.org/W2133580306","https://openalex.org/W2136088806","https://openalex.org/W2139850885","https://openalex.org/W2144799688","https://openalex.org/W2155640700","https://openalex.org/W2162691596","https://openalex.org/W2166563561","https://openalex.org/W2167144079","https://openalex.org/W2170337404","https://openalex.org/W2963587356","https://openalex.org/W3102868630"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W2611137333","https://openalex.org/W4389543811","https://openalex.org/W4291700620"],"abstract_inverted_index":{"Detecting":[0],"evolving":[1],"hidden":[2,90,118,132],"communities":[3,46,56,66,76,91,119,133],"within":[4],"dynamic":[5],"social":[6,21],"networks":[7],"has":[8],"attracted":[9],"significant":[10],"attention":[11],"recently":[12],"due":[13],"to":[14,39,163],"its":[15],"broad":[16],"applications":[17],"in":[18,96],"e-commerce,":[19],"online":[20],"media,":[22],"security":[23],"intelligence,":[24],"public":[25],"health,":[26],"and":[27,41,120],"other":[28],"areas.":[29],"Many":[30],"community":[31],"network":[32,127],"detection":[33,116],"techniques":[34,53,82],"employ":[35],"a":[36,86,126,138,157],"two-stage":[37,63],"approach":[38,64],"identify":[40,55],"detect":[42],"evolutionary":[43],"relationships":[44],"between":[45],"of":[47,67,75,85,89,117,131],"two":[48,78],"adjacent":[49],"time":[50,79],"epochs.":[51,80],"These":[52],"often":[54],"with":[57,109,154],"high":[58,158],"temporal":[59,139],"variation,":[60],"since":[61],"the":[62,73,105,115,164],"detects":[65],"each":[68],"epoch":[69],"independently":[70],"without":[71,142],"considering":[72],"continuity":[74],"across":[77],"Other":[81],"require":[83],"identification":[84],"predefined":[87],"number":[88,130],"which":[92,113],"is":[93,134],"not":[94],"realistic":[95],"many":[97],"applications.":[98],"To":[99],"overcome":[100],"these":[101],"limitations,":[102],"we":[103],"propose":[104],"Dynamic":[106],"Stochastic":[107],"Blockmodel":[108],"Temporal":[110],"Dirichlet":[111,140],"Process,":[112],"enables":[114],"tracks":[121],"their":[122],"evolution":[123],"simultaneously":[124],"from":[125],"stream.":[128],"The":[129],"automatically":[135],"determined":[136],"by":[137],"process":[141],"human":[143],"intervention.":[144],"We":[145],"tested":[146],"our":[147],"proposed":[148],"technique":[149],"on":[150],"three":[151],"different":[152],"testbeds":[153],"results":[155],"identifying":[156],"performance":[159],"level":[160],"when":[161],"compared":[162],"baseline":[165],"algorithm.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}