{"id":"https://openalex.org/W3217753387","doi":"https://doi.org/10.1109/tkde.2021.3129057","title":"Generative Evolutionary Anomaly Detection in Dynamic Networks","display_name":"Generative Evolutionary Anomaly Detection in Dynamic Networks","publication_year":2021,"publication_date":"2021-11-22","ids":{"openalex":"https://openalex.org/W3217753387","doi":"https://doi.org/10.1109/tkde.2021.3129057","mag":"3217753387"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3129057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3129057","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/A5005761664","display_name":"Pengfei Jiao","orcid":"https://orcid.org/0000-0003-1049-1002"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengfei Jiao","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773153","display_name":"Tianpeng Li","orcid":"https://orcid.org/0000-0001-7217-6580"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianpeng Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060925087","display_name":"Yingjie Xie","orcid":"https://orcid.org/0000-0002-3570-0811"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Xie","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443387","display_name":"Yinghui Wang","orcid":"https://orcid.org/0000-0001-9301-2120"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393041","display_name":"Wenjun Wang","orcid":"https://orcid.org/0000-0003-1174-7241"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009013876","display_name":"Dongxiao He","orcid":"https://orcid.org/0000-0002-1915-4179"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao He","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049269026","display_name":"Huaming Wu","orcid":"https://orcid.org/0000-0002-4761-9973"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaming Wu","raw_affiliation_strings":["Center for Applied Mathematics, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005761664"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.3124,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80981154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"12234","last_page":"12248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8197572231292725},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7241135835647583},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7187613844871521},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5876253843307495},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5731273889541626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5187761783599854},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5137901902198792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4773195683956146},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.47419673204421997},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.40754246711730957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34552913904190063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0820130705833435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8197572231292725},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7241135835647583},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7187613844871521},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5876253843307495},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5731273889541626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5187761783599854},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5137901902198792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4773195683956146},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.47419673204421997},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.40754246711730957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34552913904190063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0820130705833435},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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":1,"locations":[{"id":"doi:10.1109/tkde.2021.3129057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3129057","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":[{"id":"https://openalex.org/G1779492589","display_name":null,"funder_award_id":"62102262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4146764480","display_name":null,"funder_award_id":"61902278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G678178878","display_name":null,"funder_award_id":"61876128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8068717650","display_name":null,"funder_award_id":"62071327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W795408010","https://openalex.org/W1480295431","https://openalex.org/W1503428008","https://openalex.org/W1572352401","https://openalex.org/W1655194356","https://openalex.org/W1954241630","https://openalex.org/W1966105052","https://openalex.org/W1972262707","https://openalex.org/W2007516075","https://openalex.org/W2025737586","https://openalex.org/W2026565928","https://openalex.org/W2074964600","https://openalex.org/W2079065101","https://openalex.org/W2083180427","https://openalex.org/W2084512860","https://openalex.org/W2093168265","https://openalex.org/W2118230478","https://openalex.org/W2122646361","https://openalex.org/W2145977038","https://openalex.org/W2163557584","https://openalex.org/W2168175751","https://openalex.org/W2168878667","https://openalex.org/W2332685038","https://openalex.org/W2336214964","https://openalex.org/W2510664603","https://openalex.org/W2512573859","https://openalex.org/W2513234781","https://openalex.org/W2575664305","https://openalex.org/W2580917121","https://openalex.org/W2586047314","https://openalex.org/W2696256157","https://openalex.org/W2746053795","https://openalex.org/W2752404929","https://openalex.org/W2783382315","https://openalex.org/W2805530822","https://openalex.org/W2808771744","https://openalex.org/W2809409545","https://openalex.org/W2902758299","https://openalex.org/W2906836970","https://openalex.org/W2915648089","https://openalex.org/W2922078990","https://openalex.org/W2934991448","https://openalex.org/W2941287638","https://openalex.org/W2945488196","https://openalex.org/W2962764693","https://openalex.org/W2964013476","https://openalex.org/W2966841471","https://openalex.org/W2974110037","https://openalex.org/W2978730175","https://openalex.org/W2982049632","https://openalex.org/W2985020236","https://openalex.org/W3005645985","https://openalex.org/W3008270663","https://openalex.org/W3034213836","https://openalex.org/W3040611190","https://openalex.org/W3045495047","https://openalex.org/W3101992271","https://openalex.org/W3103896905","https://openalex.org/W3105175345","https://openalex.org/W3128141105","https://openalex.org/W4214926737","https://openalex.org/W4233532738","https://openalex.org/W6669800269"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,30,75],"in":[2,103],"dynamic":[3,94,115,168,185],"networks":[4,95],"aims":[5],"to":[6,28,60,83,112,165],"find":[7],"network":[8,116,145,169,199],"elements":[9],"(e.g.,":[10],"nodes,":[11],"edges,":[12],"subgraphs,":[13],"change":[14,196],"points)":[15],"with":[16,141,170,228,247],"significantly":[17],"different":[18,68,123,133],"behaviors":[19],"from":[20],"the":[21,58,62,73,89,93,114,119,129,149,158,167,178,195,217,235],"vast":[22],"majority,":[23],"it":[24,192,214],"can":[25,127,193],"also":[26,176,215,222],"devote":[27],"community":[29,136,150,163,183,204,218,244],"and":[31,33,64,131,137,147,152,182,206,243],"evolution":[32,91,202],"prediction":[34],"tasks.":[35],"Most":[36],"existing":[37],"methods":[38],"focus":[39],"on":[40,198,203,209,240],"one":[41,50,77],"specific":[42],"task,":[43],"that":[44,72,234],"is,":[45],"only":[46],"detect":[47,148,194],"anomalies":[48],"of":[49,52,76,79,86,122,139,160,180],"type":[51,78],"element":[53,80],"isolated,":[54],"so":[55],"they":[56],"lose":[57],"ability":[59],"model":[61,111,128,146,173],"correlation":[63],"driving":[65],"mechanism":[66],"between":[67],"abnormal":[69,207,241],"behavior.":[70],"Considering":[71],"anomaly":[74,140],"is":[81],"helpful":[82],"other":[84],"types":[85],"elements,":[87],"i.e.,":[88],"temporal":[90,201],"hidden":[92],"are":[96],"driven":[97],"by":[98,184],"indivisible":[99],"behavior":[100,208,242],"patterns.":[101],"So":[102],"this":[104],"paper,":[105],"we":[106,156,175],"propose":[107,223],"a":[108,142,188],"unified":[109],"Generation":[110],"analyze":[113],"for":[117],"Exploring":[118],"Abnormal":[120],"Behaviors":[121],"Scales":[124],"(GEABS).":[125],"It":[126],"relation":[130],"catch":[132],"levels":[134],"(node,":[135],"network)":[138],"joint":[143],"statistical":[144],"structure":[151,219,245],"its":[153],"evolution.":[154],"Specifically,":[155],"denote":[157],"parameters":[159],"node":[161,181,210],"popularity,":[162],"membership":[164],"generate":[166],"stochastic":[171],"block":[172],"(SBM),":[174],"describe":[177],"varying":[179],"process.":[186],"With":[187],"well-designed":[189],"generative":[190],"mechanism,":[191],"point":[197],"level,":[200],"level":[205,211],"synchronously,":[212],"besides,":[213],"detects":[216],"effectively.":[220],"We":[221],"an":[224],"effective":[225],"optimization":[226],"algorithm":[227],"variational":[229],"inference.":[230],"Experimental":[231],"results":[232],"show":[233],"GEABS":[236],"achieves":[237],"better":[238],"performance":[239],"compared":[246],"baselines.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}