{"id":"https://openalex.org/W4289655278","doi":"https://doi.org/10.1109/isit50566.2022.9834757","title":"Consistent Bayesian community recovery in multilayer networks","display_name":"Consistent Bayesian community recovery in multilayer networks","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655278","doi":"https://doi.org/10.1109/isit50566.2022.9834757"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834757","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5086753343","display_name":"Kalle Alaluusua","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Kalle Alaluusua","raw_affiliation_strings":["Aalto University,Department of Mathematics and Systems Analysis,Espoo,Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University,Department of Mathematics and Systems Analysis,Espoo,Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074989106","display_name":"Lasse Leskel\u00e4","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Lasse Leskel\u00e4","raw_affiliation_strings":["Aalto University,Department of Mathematics and Systems Analysis,Espoo,Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University,Department of Mathematics and Systems Analysis,Espoo,Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086753343"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.2909,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43058161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2726","last_page":"2731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.996999979019165,"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":0.996999979019165,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9807000160217285,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.7790572047233582},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7002148032188416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916369199752808},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6283501386642456},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5577384829521179},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5158050060272217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4784795641899109},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35986971855163574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28756654262542725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2177600860595703}],"concepts":[{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.7790572047233582},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7002148032188416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916369199752808},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6283501386642456},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5577384829521179},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5158050060272217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4784795641899109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35986971855163574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28756654262542725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2177600860595703},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834757","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1194254716","https://openalex.org/W1581691891","https://openalex.org/W1596460436","https://openalex.org/W1694128711","https://openalex.org/W1858738875","https://openalex.org/W1883408324","https://openalex.org/W1967087957","https://openalex.org/W2026653933","https://openalex.org/W2093663313","https://openalex.org/W2102907934","https://openalex.org/W2116433231","https://openalex.org/W2144799688","https://openalex.org/W2594169039","https://openalex.org/W2618648829","https://openalex.org/W2736618479","https://openalex.org/W2962929315","https://openalex.org/W2962962954","https://openalex.org/W2963264680","https://openalex.org/W2963594768","https://openalex.org/W2964087164","https://openalex.org/W2981208750","https://openalex.org/W2998651711","https://openalex.org/W3015546966","https://openalex.org/W3024819240","https://openalex.org/W3099669303","https://openalex.org/W3102552432","https://openalex.org/W3104490701","https://openalex.org/W3125532551","https://openalex.org/W3126748488","https://openalex.org/W3167943533","https://openalex.org/W3194865754","https://openalex.org/W3198548176","https://openalex.org/W4235169531","https://openalex.org/W4244030505","https://openalex.org/W4287690318","https://openalex.org/W6634768890","https://openalex.org/W6639034616","https://openalex.org/W6768244052","https://openalex.org/W6775905162","https://openalex.org/W6790305269","https://openalex.org/W6800305300","https://openalex.org/W6840630641"],"related_works":["https://openalex.org/W5005022","https://openalex.org/W14587325","https://openalex.org/W12712126","https://openalex.org/W11992228","https://openalex.org/W10379114","https://openalex.org/W7597812","https://openalex.org/W9958937","https://openalex.org/W2164350","https://openalex.org/W13176313","https://openalex.org/W10656104"],"abstract_inverted_index":{"Revealing":[0],"underlying":[1],"relations":[2],"between":[3,78],"nodes":[4],"in":[5,15,44],"a":[6,23,61,67,98,106],"network":[7,16,65],"is":[8],"one":[9],"of":[10,25,52,128],"the":[11,38,50,53,116,126],"most":[12],"important":[13],"tasks":[14],"analysis.":[17],"Using":[18],"tools":[19],"and":[20,57,66,80,88],"techniques":[21],"from":[22],"variety":[24],"disciplines,":[26],"many":[27],"community":[28,42,91,103],"recovery":[29,43,104],"methods":[30],"have":[31],"been":[32],"developed":[33],"for":[34,75,102],"different":[35],"scenarios.":[36],"Despite":[37],"recent":[39],"interest":[40],"on":[41,49],"multilayer":[45,68],"networks,":[46],"theoretical":[47],"results":[48],"accuracy":[51,122],"estimates":[54],"are":[55,95],"few":[56],"far":[58],"between.":[59],"Given":[60],"multilayer,":[62],"e.g.":[63],"temporal,":[64],"stochastic":[69,108],"block":[70,109],"model,":[71],"we":[72],"derive":[73],"bounds":[74,118],"sufficient":[76],"separation":[77],"intra-":[79],"inter-block":[81],"connectivity":[82],"parameters":[83],"to":[84,97,120],"achieve":[85],"posterior":[86],"exact":[87,90],"almost":[89],"recovery.":[92],"These":[93],"conditions":[94],"comparable":[96],"well":[99],"known":[100],"threshold":[101],"by":[105],"single-layer":[107],"model.":[110],"A":[111],"simulation":[112],"study":[113],"shows":[114],"that":[115,123],"derived":[117],"translate":[119],"classification":[121],"improves":[124],"as":[125],"number":[127],"observed":[129],"layers":[130],"increases.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
