{"id":"https://openalex.org/W4382073948","doi":"https://doi.org/10.1016/j.neucom.2023.126490","title":"Regularized spectral clustering under the mixed membership stochastic block model","display_name":"Regularized spectral clustering under the mixed membership stochastic block model","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4382073948","doi":"https://doi.org/10.1016/j.neucom.2023.126490"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2023.126490","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2023.126490","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","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/A5039186424","display_name":"Huan Qing","orcid":"https://orcid.org/0000-0001-7496-5022"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Qing","raw_affiliation_strings":["School of Mathematics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018313165","display_name":"Jingli Wang","orcid":"https://orcid.org/0000-0001-5942-0219"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingli Wang","raw_affiliation_strings":["School of Statistics and Data Science, KLMDASR, LEBPS, and LPMC, Nankai University, Tianjin 300071, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, KLMDASR, LEBPS, and LPMC, Nankai University, Tianjin 300071, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018313165"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":1.9041,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8460686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"550","issue":null,"first_page":"126490","last_page":"126490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9193999767303467,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9060999751091003,"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/spectral-clustering","display_name":"Spectral clustering","score":0.7677384614944458},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6945374011993408},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6160411238670349},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.604417622089386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5962221622467041},{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.5113369822502136},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.49499648809432983},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.4545906186103821},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.45232945680618286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43562906980514526},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.42580854892730713},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.417540967464447},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3899255692958832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3747216463088989},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3381307125091553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3151000738143921},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2500377893447876},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11944445967674255}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.7677384614944458},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6945374011993408},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6160411238670349},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.604417622089386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5962221622467041},{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.5113369822502136},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.49499648809432983},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.4545906186103821},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.45232945680618286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43562906980514526},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.42580854892730713},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.417540967464447},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3899255692958832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3747216463088989},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3381307125091553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3151000738143921},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2500377893447876},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11944445967674255},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2023.126490","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2023.126490","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3508999926","display_name":null,"funder_award_id":"12271272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6261795215","display_name":null,"funder_award_id":"12001295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1566036427","https://openalex.org/W1605711022","https://openalex.org/W1814202332","https://openalex.org/W1872749931","https://openalex.org/W1875335003","https://openalex.org/W1967184357","https://openalex.org/W1973207991","https://openalex.org/W1975606664","https://openalex.org/W1983610133","https://openalex.org/W2001096515","https://openalex.org/W2002276939","https://openalex.org/W2012091104","https://openalex.org/W2017099446","https://openalex.org/W2027966435","https://openalex.org/W2044719661","https://openalex.org/W2051638434","https://openalex.org/W2089609272","https://openalex.org/W2095293504","https://openalex.org/W2102158416","https://openalex.org/W2102907934","https://openalex.org/W2111565546","https://openalex.org/W2119571791","https://openalex.org/W2119998616","https://openalex.org/W2127048411","https://openalex.org/W2132092465","https://openalex.org/W2132914434","https://openalex.org/W2143502460","https://openalex.org/W2147824439","https://openalex.org/W2151936673","https://openalex.org/W2153635508","https://openalex.org/W2158703410","https://openalex.org/W2168878667","https://openalex.org/W2293626007","https://openalex.org/W2304387544","https://openalex.org/W2464534118","https://openalex.org/W2519496013","https://openalex.org/W2602671714","https://openalex.org/W2809045502","https://openalex.org/W2883292836","https://openalex.org/W2899431500","https://openalex.org/W2950244530","https://openalex.org/W2962947748","https://openalex.org/W2964176492","https://openalex.org/W2968890898","https://openalex.org/W3005225253","https://openalex.org/W3006658955","https://openalex.org/W3015216926","https://openalex.org/W3017845708","https://openalex.org/W3033561460","https://openalex.org/W3043617248","https://openalex.org/W3049256707","https://openalex.org/W3098075506","https://openalex.org/W3098464223","https://openalex.org/W3100144903","https://openalex.org/W3101919829","https://openalex.org/W3102247132","https://openalex.org/W3102641634","https://openalex.org/W3104227803","https://openalex.org/W3104329805","https://openalex.org/W3106090541","https://openalex.org/W3116640826","https://openalex.org/W3121769020","https://openalex.org/W3131004003","https://openalex.org/W3162357584","https://openalex.org/W3163028856","https://openalex.org/W3164338400","https://openalex.org/W3173062667","https://openalex.org/W3194841521","https://openalex.org/W4285193794","https://openalex.org/W6634732113","https://openalex.org/W6638253326","https://openalex.org/W6639596174","https://openalex.org/W6672858520","https://openalex.org/W6674068858","https://openalex.org/W6675424377","https://openalex.org/W6676274861","https://openalex.org/W6683221057","https://openalex.org/W6697966556","https://openalex.org/W6735855921","https://openalex.org/W6749180256","https://openalex.org/W6752574510","https://openalex.org/W6752722620","https://openalex.org/W6755025470","https://openalex.org/W6773937373"],"related_works":["https://openalex.org/W3168808485","https://openalex.org/W3017750840","https://openalex.org/W3124727659","https://openalex.org/W2765311429","https://openalex.org/W4308344195","https://openalex.org/W4283782457","https://openalex.org/W4284891683","https://openalex.org/W2150938184","https://openalex.org/W813010328","https://openalex.org/W4382073948"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
