{"id":"https://openalex.org/W2883774487","doi":"https://doi.org/10.1504/ijaacs.2018.10014825","title":"Community outlier detection in social networks based on graph matching","display_name":"Community outlier detection in social networks based on graph matching","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2883774487","doi":"https://doi.org/10.1504/ijaacs.2018.10014825","mag":"2883774487"},"language":"en","primary_location":{"id":"doi:10.1504/ijaacs.2018.10014825","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijaacs.2018.10014825","pdf_url":null,"source":{"id":"https://openalex.org/S191948775","display_name":"International Journal of Autonomous and Adaptive Communications Systems","issn_l":"1754-8632","issn":["1754-8632","1754-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Autonomous and Adaptive Communications Systems","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/A5110301503","display_name":"El Houssine Bouyakhf","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"El Houssine Bouyakhf","raw_affiliation_strings":["Department of Physics, LIMIARF, Faculty of Sciences, Mohammed V University, B.P.1014 RP Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"Department of Physics, LIMIARF, Faculty of Sciences, Mohammed V University, B.P.1014 RP Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035345053","display_name":"Soufiana Mekouar","orcid":"https://orcid.org/0000-0002-5136-2824"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Soufiana Mekouar","raw_affiliation_strings":["Department of Physics, LIMIARF, Faculty of Sciences, Mohammed V University, B.P.1014 RP Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"Department of Physics, LIMIARF, Faculty of Sciences, Mohammed V University, B.P.1014 RP Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017763102","display_name":"Nabila Zrira","orcid":"https://orcid.org/0000-0002-9876-9744"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Nabila Zrira","raw_affiliation_strings":["Department of Physics, LIMIARF, Faculty of Sciences, Mohammed V University, B.P.1014 RP Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"Department of Physics, LIMIARF, Faculty of Sciences, Mohammed V University, B.P.1014 RP Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110301503"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63776388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":"3","first_page":"209","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T10064","display_name":"Complex Network Analysis Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7793357968330383},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7246455550193787},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7091473937034607},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6140864491462708},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.570751965045929},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5629485845565796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5570571422576904},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4763379693031311},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.47165241837501526},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4104389548301697},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3348351716995239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28164827823638916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13424813747406006},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.09433859586715698},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08939734101295471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793357968330383},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7246455550193787},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7091473937034607},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6140864491462708},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.570751965045929},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5629485845565796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5570571422576904},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4763379693031311},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.47165241837501526},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4104389548301697},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3348351716995239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28164827823638916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13424813747406006},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.09433859586715698},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08939734101295471},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijaacs.2018.10014825","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijaacs.2018.10014825","pdf_url":null,"source":{"id":"https://openalex.org/S191948775","display_name":"International Journal of Autonomous and Adaptive Communications Systems","issn_l":"1754-8632","issn":["1754-8632","1754-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Autonomous and Adaptive Communications Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W70064007","https://openalex.org/W89628396","https://openalex.org/W888575606","https://openalex.org/W1971421925","https://openalex.org/W1974843168","https://openalex.org/W2015953751","https://openalex.org/W2025543856","https://openalex.org/W2034572462","https://openalex.org/W2043690486","https://openalex.org/W2048653843","https://openalex.org/W2049058890","https://openalex.org/W2095293504","https://openalex.org/W2098509290","https://openalex.org/W2112429379","https://openalex.org/W2112461976","https://openalex.org/W2122646361","https://openalex.org/W2124209874","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2147620601","https://openalex.org/W2155461593","https://openalex.org/W2212381007","https://openalex.org/W2222512263","https://openalex.org/W2341157318","https://openalex.org/W2427862964","https://openalex.org/W2914201910","https://openalex.org/W2963395938","https://openalex.org/W3098330388"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W14679004"],"abstract_inverted_index":{"Outlier":[0],"or":[1],"anomaly":[2],"detection":[3,45,62],"is":[4,70],"widely":[5],"used":[6],"in":[7,29,56,88,117],"several":[8],"fields":[9],"of":[10],"study":[11],"such":[12],"as":[13],"statistics,":[14],"data":[15,82],"mining,":[16],"and":[17,25,97],"social":[18,31,48,57,141],"networks.":[19],"It":[20],"can":[21],"reveal":[22],"important":[23],"anomalous":[24,95,98],"interesting":[26],"outlier":[27,44],"behaviours":[28],"the":[30,67,79,84,122,127],"network":[32,49,142],"communities.":[33],"In":[34],"this":[35],"work,":[36],"we":[37,112],"propose":[38],"a":[39,103,114],"new":[40],"approach":[41,137],"for":[42,77],"community":[43,54,61],"based":[46],"on":[47,139],"graph":[50,81,85],"matching.":[51],"We":[52,100],"identify":[53],"structures":[55],"networks":[58],"using":[59,108,121],"some":[60],"methods.":[63],"For":[64],"each":[65],"community,":[66],"node":[68],"signature":[69],"combined":[71],"with":[72,83],"an":[73,118],"optimal":[74],"assignment":[75,119],"method":[76,124],"matching":[78,128],"original":[80],"pattern":[86],"data,":[87],"order":[89],"to":[90,125],"detect":[91],"two":[92,106],"formalised":[93],"anomalies:":[94],"nodes":[96],"edges.":[99],"also":[101],"define":[102,113],"distance":[104],"between":[105],"graphs":[107],"Euclidean":[109],"formula.":[110],"Then,":[111],"node-to-node":[115],"cost":[116],"problem":[120],"Hungarian":[123],"deduce":[126],"function.":[129],"The":[130],"obtained":[131],"experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"our":[136],"performs":[138],"real":[140],"datasets.":[143]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
