{"id":"https://openalex.org/W2941287638","doi":"https://doi.org/10.1109/tkde.2019.2912574","title":"A Nodes' Evolution Diversity Inspired Method to Detect Anomalies in Dynamic Social Networks","display_name":"A Nodes' Evolution Diversity Inspired Method to Detect Anomalies in Dynamic Social Networks","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2941287638","doi":"https://doi.org/10.1109/tkde.2019.2912574","mag":"2941287638"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2912574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2912574","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/A5054184997","display_name":"Huan Wang","orcid":"https://orcid.org/0000-0002-3162-2350"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]},{"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":["College of Informatics, Huazhong Agricultural University, Wuhan, China","School of Computer, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3162-2350","affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728176","display_name":"Chunming Qiao","orcid":"https://orcid.org/0000-0002-4679-6572"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunming Qiao","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1107,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.77281695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"10","first_page":"1868","last_page":"1880"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7073243260383606},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5227054357528687},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5217446088790894},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48208457231521606},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4317849278450012},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4213504493236542},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.419908344745636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4178128242492676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3532765507698059},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2885230779647827},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14163362979888916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073243260383606},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5227054357528687},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5217446088790894},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48208457231521606},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4317849278450012},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4213504493236542},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.419908344745636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4178128242492676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3532765507698059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2885230779647827},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14163362979888916},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2912574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2912574","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G4597302379","display_name":null,"funder_award_id":"CNS-1626374","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6609308724","display_name":null,"funder_award_id":"61402191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":60,"referenced_works":["https://openalex.org/W35132320","https://openalex.org/W111803032","https://openalex.org/W212787878","https://openalex.org/W292317273","https://openalex.org/W1564354600","https://openalex.org/W1603920809","https://openalex.org/W1785502294","https://openalex.org/W1859627028","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/W1994321911","https://openalex.org/W1997527463","https://openalex.org/W2002875905","https://openalex.org/W2007444087","https://openalex.org/W2015344683","https://openalex.org/W2018045523","https://openalex.org/W2019364873","https://openalex.org/W2026498605","https://openalex.org/W2030470432","https://openalex.org/W2032280284","https://openalex.org/W2043384621","https://openalex.org/W2051475803","https://openalex.org/W2076758681","https://openalex.org/W2089554624","https://openalex.org/W2108614537","https://openalex.org/W2110676972","https://openalex.org/W2111350126","https://openalex.org/W2118027753","https://openalex.org/W2123540349","https://openalex.org/W2129794000","https://openalex.org/W2143004193","https://openalex.org/W2146008005","https://openalex.org/W2154454189","https://openalex.org/W2157082398","https://openalex.org/W2157825442","https://openalex.org/W2167869786","https://openalex.org/W2184249097","https://openalex.org/W2208595703","https://openalex.org/W2297397204","https://openalex.org/W2324806281","https://openalex.org/W2325394291","https://openalex.org/W2346973747","https://openalex.org/W2521256213","https://openalex.org/W2521812403","https://openalex.org/W2562676961","https://openalex.org/W2574529824","https://openalex.org/W2590723015","https://openalex.org/W2674731409","https://openalex.org/W2736566518","https://openalex.org/W2912974153","https://openalex.org/W3037819556","https://openalex.org/W3037946710","https://openalex.org/W3099978427","https://openalex.org/W3101251439","https://openalex.org/W4246941204","https://openalex.org/W6638983036"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2348524959","https://openalex.org/W2518037665","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W4294565801","https://openalex.org/W2142306706","https://openalex.org/W2477036161","https://openalex.org/W308652608"],"abstract_inverted_index":{"Recently":[0],"dynamic":[1,76,198],"social":[2,32,50,77,180,199,207,215],"networks":[3,78],"witnessed":[4],"a":[5,45,60,125,130,146,183],"massive":[6],"surge":[7],"in":[8,11,75,114,155,175,191,197,209,224],"popularity,":[9],"especially":[10],"the":[12,18,31,54,65,80,94,102,122,159,164,172,176,188,219],"area":[13],"of":[14,62,82,104,124,163,166,179,222,226],"anomaly":[15],"detection.":[16],"Although":[17],"text-based":[19],"methods":[20,42,57,204],"have":[21],"achieved":[22],"impressive":[23],"detection":[24],"performances,":[25],"their":[26,111],"applications":[27],"are":[28],"limited":[29],"to":[30,96,109],"text":[33],"provided":[34],"by":[35,101],"users.":[36],"This":[37],"research":[38],"focuses":[39],"on":[40,212],"graph-based":[41,56],"and":[43,106,117,169,194,205,229],"proposes":[44],"universal":[46],"method":[47,71],"for":[48],"generalized":[49],"networks.":[51,181,200],"Different":[52],"from":[53,79],"existing":[55],"that":[58],"summarize":[59],"number":[61],"structural":[63],"features,":[64],"proposed":[66],"nodes'":[67],"evolution":[68,84,98,139,177],"diversity":[69],"inspired":[70],"(NEDM)":[72],"detects":[73],"anomalies":[74,196],"perspective":[81],"diverse":[83],"mechanisms.":[85],"More":[86],"specifically,":[87],"NEDM":[88,185,223],"applies":[89],"link":[90],"prediction":[91],"algorithms":[92],"at":[93],"micro-level":[95],"fit":[97],"mechanisms":[99,140],"followed":[100],"behaviors":[103,165],"nodes,":[105,168],"designs":[107],"indices":[108],"evaluate":[110],"fitting":[112],"degrees":[113],"edge":[115],"removal":[116],"generation":[118],"processes.":[119],"In":[120],"addition,":[121],"behavior":[123,136],"node":[126],"is":[127],"represented":[128],"as":[129],"quantum":[131,147],"superposition":[132],"state":[133],"where":[134],"such":[135],"follows":[137],"different":[138,167,192],"with":[141,202],"uncertain":[142],"probabilities.":[143],"We":[144],"propose":[145],"mechanism":[148],"based":[149],"particle":[150],"swarm":[151],"optimization":[152],"algorithm":[153],"(QMPSO)":[154],"NEDM.":[156],"QMPSO":[157],"determines":[158],"optimal":[160],"observation":[161],"states":[162],"maximally":[170],"reflects":[171],"evolutional":[173,189],"fluctuations":[174,190],"processes":[178],"As":[182],"result,":[184],"can":[186],"quantify":[187],"periods,":[193],"detect":[195],"Comparing":[201],"art-of-the-state":[203],"real":[206],"data":[208],"extensive":[210],"experiments":[211],"disparate":[213],"real-world":[214],"networks,":[216],"we":[217],"verify":[218],"outstanding":[220],"performance":[221],"terms":[225],"both":[227],"accuracy":[228],"universality.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}