{"id":"https://openalex.org/W4311366057","doi":"https://doi.org/10.1080/03610918.2022.2154795","title":"EWMA control charts using generalized centrality measures for social network monitoring","display_name":"EWMA control charts using generalized centrality measures for social network monitoring","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4311366057","doi":"https://doi.org/10.1080/03610918.2022.2154795"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2154795","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2154795","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5004575365","display_name":"Joo Weon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joo Weon Lee","raw_affiliation_strings":["Department of Applied Statistics, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004575365","display_name":"Joo Weon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Joo Weon Lee","raw_affiliation_strings":["Department of Applied Statistics, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112531894","display_name":"Hwi Ju Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwi Ju Hong","raw_affiliation_strings":["Department of Applied Statistics, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jaeheon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeheon Lee","raw_affiliation_strings":["Department of Applied Statistics, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jaeheon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaeheon Lee","raw_affiliation_strings":["Department of Applied Statistics, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004575365"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14544236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9803000092506409,"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/T13283","display_name":"Mental Health Research Topics","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.9639435410499573},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.928290605545044},{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.7850786447525024},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6955212354660034},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.6339674592018127},{"id":"https://openalex.org/keywords/network-controllability","display_name":"Network controllability","score":0.5998905897140503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5101280808448792},{"id":"https://openalex.org/keywords/katz-centrality","display_name":"Katz centrality","score":0.47718727588653564},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4382573366165161},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4310239553451538},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3964453339576721},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.36195504665374756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34903961420059204},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.283635675907135},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.15012183785438538},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.08778798580169678}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.9639435410499573},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.928290605545044},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.7850786447525024},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6955212354660034},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.6339674592018127},{"id":"https://openalex.org/C41982775","wikidata":"https://www.wikidata.org/wiki/Q7000977","display_name":"Network controllability","level":4,"score":0.5998905897140503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5101280808448792},{"id":"https://openalex.org/C131349576","wikidata":"https://www.wikidata.org/wiki/Q6378571","display_name":"Katz centrality","level":4,"score":0.47718727588653564},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4382573366165161},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4310239553451538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3964453339576721},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.36195504665374756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34903961420059204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.283635675907135},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.15012183785438538},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.08778798580169678},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2154795","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2154795","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1507409643","https://openalex.org/W1671906456","https://openalex.org/W1904715515","https://openalex.org/W1971937094","https://openalex.org/W2012557827","https://openalex.org/W2056944867","https://openalex.org/W2112615110","https://openalex.org/W2140273660","https://openalex.org/W2149055390","https://openalex.org/W2169528473","https://openalex.org/W2171707538","https://openalex.org/W2790679905","https://openalex.org/W2794279118","https://openalex.org/W2962746665","https://openalex.org/W2963395938","https://openalex.org/W4229980202"],"related_works":["https://openalex.org/W2070633563","https://openalex.org/W4312461432","https://openalex.org/W2046736422","https://openalex.org/W2570065583","https://openalex.org/W2887722523","https://openalex.org/W4296473449","https://openalex.org/W3113916987","https://openalex.org/W2042444919","https://openalex.org/W2186710387","https://openalex.org/W2121500878"],"abstract_inverted_index":{"The":[0],"monitoring":[1],"and":[2,34,53,63,89,121,149,159,176],"detection":[3],"of":[4,45,67,96,114,123,135,178],"network":[5,14],"anomalies":[6,21],"have":[7,80,90],"become":[8],"an":[9],"interesting":[10],"topic":[11],"in":[12,69,125],"social":[13],"analysis.":[15],"One":[16],"approach":[17,41],"for":[18,93,154,164],"detecting":[19,193],"such":[20,28,49],"is":[22],"to":[23,37,184,189],"apply":[24],"conventional":[25],"centrality":[26,47,61,82,115,169],"measures,":[27,48],"as":[29,50],"degree":[30,148,160],"centrality,":[31,33,36],"closeness":[32],"betweenness":[35,158],"control":[38],"charts.":[39,143],"Another":[40],"involves":[42],"the":[43,65,70,94,119,132,174,185],"use":[44,111],"hybrid":[46],"degree-degree,":[51],"degree-closeness,":[52],"degree-betweenness,":[54],"which":[55],"are":[56],"generated":[57],"by":[58],"combining":[59],"traditional":[60],"measures":[62,83,116,137,170],"emphasize":[64],"importance":[66,182],"actors":[68],"network.":[71],"From":[72],"another":[73],"perspective,":[74],"most":[75],"studies":[76],"on":[77,85,118,138],"weighted":[78,104,127,139],"networks":[79,140],"used":[81],"based":[84,117],"tie":[86],"weights":[87,122,177,186],"alone":[88],"not":[91],"accounted":[92],"number":[95,120,175],"ties.":[97],"In":[98,167],"this":[99],"paper,":[100],"we":[101],"propose":[102],"exponentially":[103],"moving":[105],"average":[106],"(EWMA)":[107],"charting":[108],"procedures":[109],"that":[110,147,171],"several":[112],"types":[113],"ties":[124],"undirected":[126],"networks.":[128],"We":[129],"then":[130],"evaluate":[131],"anomaly-detection":[133],"performance":[134],"these":[136],"using":[141],"EWMA":[142],"Simulation":[144],"results":[145],"indicate":[146],"degree-degree":[150],"centralities":[151,161],"perform":[152,162],"well":[153,163],"small":[155],"changes,":[156],"while":[157],"large":[165],"changes.":[166],"addition,":[168],"consider":[172],"both":[173],"ties,":[179],"with":[180],"more":[181],"given":[183],"were":[187],"determined":[188],"be":[190],"better":[191],"at":[192],"anomalies.":[194]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
