{"id":"https://openalex.org/W4400285777","doi":"https://doi.org/10.1007/s41109-024-00641-3","title":"A novel control chart scheme for online social network monitoring using multivariate nonparametric profile techniques","display_name":"A novel control chart scheme for online social network monitoring using multivariate nonparametric profile techniques","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4400285777","doi":"https://doi.org/10.1007/s41109-024-00641-3"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-024-00641-3","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s41109-024-00641-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-024-00641-3.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41109-024-00641-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013132723","display_name":"Arya Karami","orcid":"https://orcid.org/0000-0001-8790-8203"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Arya Karami","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064303268","display_name":"Seyed Taghi Akhavan Niaki","orcid":"https://orcid.org/0000-0001-6281-055X"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Taghi Akhavan Niaki","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013132723"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.3895,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67605202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.958299994468689,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7011858224868774},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.649517834186554},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.5852502584457397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046077966690063},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.4891526997089386},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.47146230936050415},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4687604606151581},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42725738883018494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3356096148490906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3021998107433319}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7011858224868774},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.649517834186554},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5852502584457397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046077966690063},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4891526997089386},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.47146230936050415},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4687604606151581},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42725738883018494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3356096148490906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3021998107433319},{"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/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41109-024-00641-3","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s41109-024-00641-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-024-00641-3.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7ec4a1ce71314a75840b1bd5584733e4","is_oa":false,"landing_page_url":"https://doaj.org/article/7ec4a1ce71314a75840b1bd5584733e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 9, Iss 1, Pp 1-34 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-024-00641-3","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s41109-024-00641-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-024-00641-3.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400285777.pdf","grobid_xml":"https://content.openalex.org/works/W4400285777.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1726806267","https://openalex.org/W2018465011","https://openalex.org/W2049002789","https://openalex.org/W2076844992","https://openalex.org/W2088502517","https://openalex.org/W2098277968","https://openalex.org/W2232528349","https://openalex.org/W2234416893","https://openalex.org/W2557302796","https://openalex.org/W2565466087","https://openalex.org/W2729884040","https://openalex.org/W2802441652","https://openalex.org/W2809409545","https://openalex.org/W2951086007","https://openalex.org/W2962744083","https://openalex.org/W2962746665","https://openalex.org/W2963103105","https://openalex.org/W2971318042","https://openalex.org/W2977620188","https://openalex.org/W2994160600","https://openalex.org/W3011813827","https://openalex.org/W3015234777","https://openalex.org/W3023935423","https://openalex.org/W3033706928","https://openalex.org/W3088079665","https://openalex.org/W3133209698","https://openalex.org/W3135447477","https://openalex.org/W3162894714","https://openalex.org/W3204174615","https://openalex.org/W3205640022","https://openalex.org/W3206556971","https://openalex.org/W3213717075","https://openalex.org/W3213914484","https://openalex.org/W3215033370","https://openalex.org/W4205213342","https://openalex.org/W4224305742","https://openalex.org/W4281399692","https://openalex.org/W4281706647","https://openalex.org/W4292623963","https://openalex.org/W4293766662","https://openalex.org/W4320016105","https://openalex.org/W4328054995","https://openalex.org/W4376104950"],"related_works":["https://openalex.org/W2089971596","https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1735301416","https://openalex.org/W3037195292","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059"],"abstract_inverted_index":{"Abstract":[0],"Online":[1],"social":[2,13,27,83,196,239],"networks":[3,135],"have":[4,30,46,79],"become":[5],"indispensable":[6],"in":[7,81,114,193,204,215,238],"modern":[8],"life,":[9],"facilitating":[10],"knowledge":[11],"sharing,":[12],"communication,":[14],"and":[15,54,70,150,168,213,222],"business":[16],"marketing.":[17],"To":[18],"gain":[19],"a":[20,90],"deeper":[21],"understanding":[22],"of":[23,75,105,112,124,134,177,206],"individuals'":[24],"behavior":[25],"within":[26],"networks,":[28],"researchers":[29],"undertaken":[31],"essential":[32],"analytical":[33],"tasks":[34],"such":[35],"as":[36],"change":[37,42],"point":[38,43,111],"detection.":[39],"Recently,":[40],"nonparametric":[41,94],"detection":[44,208],"methods":[45,58],"attracted":[47],"researchers'":[48],"attention":[49],"due":[50],"to":[51,99,190,217,227],"their":[52],"generality":[53],"flexibility.":[55],"However,":[56],"existing":[57],"exhibit":[59],"limitations,":[60],"including":[61,220],"overlooking":[62],"network":[63,68,116,144,231,240],"structure,":[64],"reliance":[65],"on":[66,108],"case-based":[67],"attributes,":[69],"neglecting":[71],"the":[72,121,127,143,160,175,184,228],"dynamic":[73,122],"nature":[74,123],"data,":[76,117],"which":[77],"may":[78],"correlations":[80],"evolving":[82,194],"networks.":[84,197],"In":[85],"this":[86],"study,":[87],"we":[88],"propose":[89],"novel":[91],"multivariate":[92],"mixed-effects":[93],"profile":[95],"control":[96],"(MENPC)":[97],"algorithm":[98,162],"address":[100],"these":[101],"limitations.":[102],"The":[103,198],"advantage":[104],"MENPC":[106,178,226],"relies":[107],"its":[109,211,235,243],"unique":[110],"view":[113],"approaching":[115],"where":[118],"it":[119,139],"incorporates":[120],"data":[125],"into":[126,141],"monitoring":[128],"process":[129],"without":[130],"assuming":[131],"internal":[132],"independence":[133],"over":[136],"time.":[137],"Additionally,":[138],"takes":[140],"account":[142],"structure":[145],"by":[146,154],"considering":[147],"both":[148],"nodal":[149],"network-level":[151],"attributes.":[152],"Furthermore,":[153],"introducing":[155],"an":[156],"updating":[157],"trick":[158],"formula,":[159],"proposed":[161],"simplifies":[163],"computations,":[164],"effectively":[165],"balancing":[166],"memory":[167],"speed":[169],"for":[170,245],"online":[171,195],"monitoring.":[172],"We":[173],"evaluate":[174],"effectiveness":[176],"through":[179],"comprehensive":[180],"numerical":[181],"experiments":[182],"using":[183],"degree":[185],"correlated":[186],"stochastic":[187],"block":[188],"model":[189],"simulate":[191],"interactions":[192],"results":[199],"demonstrate":[200],"MENPC's":[201],"superior":[202],"performance":[203],"terms":[205],"expected":[207],"delay,":[209],"showcasing":[210],"accuracy":[212],"efficiency":[214],"comparison":[216],"competing":[218],"approaches":[219],"Wilson,":[221],"eigenvalue":[223],"methods.":[224],"Applying":[225],"Enron":[229],"email":[230],"dataset":[232],"further":[233],"confirms":[234],"significant":[236],"progress":[237],"monitoring,":[241],"expanding":[242],"potential":[244],"various":[246],"applications.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}