{"id":"https://openalex.org/W2898613396","doi":"https://doi.org/10.1109/asonam.2018.8508299","title":"A Statistical Framework for Handling Network Anomalies","display_name":"A Statistical Framework for Handling Network Anomalies","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898613396","doi":"https://doi.org/10.1109/asonam.2018.8508299","mag":"2898613396"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5074285653","display_name":"Mohamed Bouguessa","orcid":"https://orcid.org/0000-0002-0851-8889"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Bouguessa","raw_affiliation_strings":["Department of Computer Science, University of Quebec at Montreal, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Quebec at Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004387788","display_name":"Amani Chouchane","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amani Chouchane","raw_affiliation_strings":["Department of Computer Science, University of Quebec at Montreal, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Quebec at Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159129438"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18567928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"709","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9991999864578247,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730282187461853},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7036761045455933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.613538920879364},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5541849136352539},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5357189774513245},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5068753361701965},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49246248602867126},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4813483655452728},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47981786727905273},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46261388063430786},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.4369819462299347},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.42044180631637573},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41386115550994873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40158215165138245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32080864906311035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1447766125202179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1439027488231659},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07685425877571106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730282187461853},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7036761045455933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.613538920879364},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5541849136352539},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5357189774513245},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5068753361701965},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49246248602867126},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4813483655452728},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47981786727905273},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46261388063430786},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4369819462299347},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.42044180631637573},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41386115550994873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40158215165138245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32080864906311035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1447766125202179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1439027488231659},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07685425877571106},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W179525839","https://openalex.org/W1492581097","https://openalex.org/W2015245929","https://openalex.org/W2024128809","https://openalex.org/W2053906518","https://openalex.org/W2089554624","https://openalex.org/W2122646361","https://openalex.org/W2134008243","https://openalex.org/W2152594362","https://openalex.org/W2963395938","https://openalex.org/W6629457467"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,23,37,47,68,77],"statistical":[4,78],"framework":[5],"to":[6,20,36,85],"automatically":[7,86],"identify":[8,87],"anomalous":[9,65],"nodes":[10,66],"in":[11],"static":[12],"networks.":[13,104],"In":[14],"our":[15],"approach,":[16],"we":[17,59,75],"first":[18],"associate":[19],"each":[21,30],"node":[22],"neighborhood":[24,42],"cohesiveness":[25],"feature":[26,57],"vector":[27,34],"such":[28],"that":[29,80],"element":[31],"of":[32,63,91],"this":[33],"corresponds":[35],"score":[38],"quantifying":[39],"the":[40,54,61,82,92],"node's":[41,56],"connectivity,":[43],"as":[44],"estimated":[45,55],"by":[46],"specific":[48],"similarity":[49],"measure.":[50],"Next,":[51],"based":[52,72],"on":[53,73,99],"vectors,":[58],"view":[60],"task":[62],"identifying":[64],"from":[67],"mixture":[69],"modeling":[70],"perspective,":[71],"which":[74],"elaborate":[76],"approach":[79],"exploits":[81],"Dirichlet":[83],"distribution":[84],"anomalies.":[88],"The":[89],"suitability":[90],"proposed":[93],"method":[94],"is":[95],"illustrated":[96],"through":[97],"experiments":[98],"both":[100],"synthesized":[101],"and":[102],"real":[103]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
