{"id":"https://openalex.org/W2912974153","doi":"https://doi.org/10.1145/3299886","title":"Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks","display_name":"Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks","publication_year":2019,"publication_date":"2019-01-23","ids":{"openalex":"https://openalex.org/W2912974153","doi":"https://doi.org/10.1145/3299886","mag":"2912974153"},"language":"en","primary_location":{"id":"doi:10.1145/3299886","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299886","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/A5100751570","display_name":"Huan Wang","orcid":"https://orcid.org/0000-0002-7130-2335"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Wang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["Macquarie University, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021920057","display_name":"Wenbin Hu","orcid":"https://orcid.org/0000-0001-8383-2483"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Hu","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Mininglamp Software Systems and Research Institute of Big Knowledge, Hefei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mininglamp Software Systems and Research Institute of Big Knowledge, Hefei University of Technology, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5953,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.90092017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7001607418060303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6467947363853455},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5464524030685425},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.524387538433075},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.48925042152404785},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4557459354400635},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.4524666965007782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4424835741519928},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.43375682830810547},{"id":"https://openalex.org/keywords/evolutionary-dynamics","display_name":"Evolutionary dynamics","score":0.4291221499443054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34658318758010864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3235280513763428},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0941886305809021},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08567893505096436}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7001607418060303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467947363853455},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5464524030685425},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.524387538433075},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.48925042152404785},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4557459354400635},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.4524666965007782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4424835741519928},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.43375682830810547},{"id":"https://openalex.org/C171578705","wikidata":"https://www.wikidata.org/wiki/Q5418700","display_name":"Evolutionary dynamics","level":3,"score":0.4291221499443054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34658318758010864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3235280513763428},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0941886305809021},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08567893505096436},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3299886","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299886","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G4958378266","display_name":null,"funder_award_id":"61572369, 61711530238 and 91746209","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W111803032","https://openalex.org/W132921321","https://openalex.org/W212787878","https://openalex.org/W1564354600","https://openalex.org/W1603920809","https://openalex.org/W1774499654","https://openalex.org/W1785502294","https://openalex.org/W1911754577","https://openalex.org/W1954241630","https://openalex.org/W1968976953","https://openalex.org/W1969667322","https://openalex.org/W1977382765","https://openalex.org/W1978710835","https://openalex.org/W1979104937","https://openalex.org/W1982469530","https://openalex.org/W1984818687","https://openalex.org/W1993665712","https://openalex.org/W1994321911","https://openalex.org/W1997527463","https://openalex.org/W2007444087","https://openalex.org/W2018045523","https://openalex.org/W2019364873","https://openalex.org/W2030470432","https://openalex.org/W2032280284","https://openalex.org/W2037859435","https://openalex.org/W2037933327","https://openalex.org/W2043384621","https://openalex.org/W2047923585","https://openalex.org/W2057685268","https://openalex.org/W2068254260","https://openalex.org/W2069193358","https://openalex.org/W2071869259","https://openalex.org/W2076019109","https://openalex.org/W2079934979","https://openalex.org/W2084804965","https://openalex.org/W2085394315","https://openalex.org/W2089554624","https://openalex.org/W2107952582","https://openalex.org/W2108614537","https://openalex.org/W2111002549","https://openalex.org/W2118027753","https://openalex.org/W2123540349","https://openalex.org/W2129794000","https://openalex.org/W2139380913","https://openalex.org/W2143004193","https://openalex.org/W2146008005","https://openalex.org/W2154454189","https://openalex.org/W2157082398","https://openalex.org/W2157825442","https://openalex.org/W2166914830","https://openalex.org/W2167869786","https://openalex.org/W2199717152","https://openalex.org/W2208595703","https://openalex.org/W2255459394","https://openalex.org/W2325394291","https://openalex.org/W2339085491","https://openalex.org/W2396014138","https://openalex.org/W2406996709","https://openalex.org/W2464951325","https://openalex.org/W2553035864","https://openalex.org/W2562676961","https://openalex.org/W2564084673","https://openalex.org/W2734923642","https://openalex.org/W2736566518","https://openalex.org/W2739266293","https://openalex.org/W2766847075","https://openalex.org/W2769023607","https://openalex.org/W2770361534","https://openalex.org/W2783399072","https://openalex.org/W2788767962","https://openalex.org/W2999817249","https://openalex.org/W3099978427","https://openalex.org/W3101251439","https://openalex.org/W3123716038","https://openalex.org/W4232932184"],"related_works":["https://openalex.org/W2528958959","https://openalex.org/W2091246427","https://openalex.org/W2171662586","https://openalex.org/W4285805405","https://openalex.org/W609513197","https://openalex.org/W2102580788","https://openalex.org/W2391924736","https://openalex.org/W1560122427","https://openalex.org/W2141433557","https://openalex.org/W1540041346"],"abstract_inverted_index":{"Based":[0],"on":[1,61,173,179,185],"the":[2,16,19,33,114,118,140,147,163,169,174,195],"performance":[3],"of":[4,18,22,37,121,162,171,197],"entire":[5],"social":[6,12,164,175],"networks,":[7],"anomaly":[8],"analysis":[9],"for":[10,107],"evolving":[11],"networks":[13,189],"generally":[14],"ignores":[15],"otherness":[17],"evolutionary":[20,35,46,56,67,97,102,119,124,149,198],"behaviors":[21,36,150],"different":[23,152],"nodes,":[24],"such":[25],"that":[26,43,48,145,191],"it":[27,135],"is":[28,200],"difficult":[29],"to":[30,112,116],"precisely":[31],"identify":[32],"anomalous":[34],"nodes":[38],"(":[39,80,89],"AEBN":[40,137,158,172,193],").":[41],"Assuming":[42],"a":[44,76,85,95,122,130,160],"node's":[45,96,123,148],"behavior":[47,98,125,143],"generates":[49],"and":[50,63,74,84,104,110,167,202],"removes":[51],"edges":[52],"normally":[53],"follows":[54],"stable":[55],"mechanisms,":[57,73],"this":[58],"study":[59],"focuses":[60],"detecting":[62],"assessing":[64],"AEBN,":[65],"whose":[66],"mechanisms":[68,199],"deviate":[69],"from":[70,194],"their":[71],"past":[72],"proposes":[75],"link":[77,131],"prediction":[78,132],"detection":[79],"LPD":[81,93],")":[82,91],"method":[83],"matrix":[86,180],"perturbation":[87,161,181],"assessment":[88],"MPA":[90,156],"method.":[92],"describes":[94],"by":[99,129,138],"fitting":[100],"its":[101],"mechanism,":[103],"designs":[105],"indexes":[106],"edge":[108],"generation":[109],"removal":[111],"evaluate":[113],"extent":[115],"which":[117],"mechanism":[120],"can":[126],"be":[127],"fitted":[128],"algorithm.":[133],"Furthermore,":[134],"detects":[136],"quantifying":[139],"differences":[141],"among":[142],"vectors":[144],"characterize":[146],"in":[151],"periods.":[153],"In":[154],"addition,":[155],"considers":[157],"as":[159],"network":[165,176],"structure,":[166],"quantifies":[168],"effect":[170],"structure":[177],"based":[178],"analysis.":[182],"Extensive":[183],"experiments":[184],"eight":[186],"disparate":[187],"real-world":[188],"demonstrate":[190],"analyzing":[192],"perspective":[196],"important":[201],"beneficial.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
