{"id":"https://openalex.org/W3201854766","doi":"https://doi.org/10.1109/tfuzz.2021.3117442","title":"A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method","display_name":"A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method","publication_year":2021,"publication_date":"2021-10-05","ids":{"openalex":"https://openalex.org/W3201854766","doi":"https://doi.org/10.1109/tfuzz.2021.3117442","mag":"3201854766"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2021.3117442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2021.3117442","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy 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/A5008221100","display_name":"Lun Hu","orcid":"https://orcid.org/0000-0002-1591-8549"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Hu","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0002-1591-8549","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031945334","display_name":"Xiangyu Pan","orcid":"https://orcid.org/0000-0002-2537-6616"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Pan","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017177997","display_name":"Zehai Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehai Tang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, the Chongqing Key Laboratory of Big Data and Intelligent Computing, and the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","Chongqing School, University of Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1348-5305","affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, the Chongqing Key Laboratory of Big Data and Intelligent Computing, and the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"Chongqing School, University of Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.3051,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.9932074,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"30","issue":"9","first_page":"3473","last_page":"3485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9901000261306763,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9878000020980835,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8619381785392761},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.599609911441803},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5732871890068054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5354189276695251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4931313693523407},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4172348380088806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3895256817340851},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3433067202568054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33130818605422974},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06320703029632568}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8619381785392761},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.599609911441803},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5732871890068054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5354189276695251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4931313693523407},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4172348380088806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3895256817340851},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3433067202568054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33130818605422974},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06320703029632568},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2021.3117442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2021.3117442","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.550000011920929,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G7141752101","display_name":null,"funder_award_id":"cstc2019jcyjjqX0013","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7777850861","display_name":"\u57fa\u4e8e\u9690\u7279\u5f81\u5206\u6790\u7684\u4fe1\u606f\u63a8\u8350\u6280\u672f\u7814\u7a76","funder_award_id":"61772493","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"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W299101407","https://openalex.org/W1565924926","https://openalex.org/W1971013885","https://openalex.org/W1973346243","https://openalex.org/W1974515660","https://openalex.org/W1980287119","https://openalex.org/W1998209214","https://openalex.org/W2012921801","https://openalex.org/W2030724586","https://openalex.org/W2044400205","https://openalex.org/W2059047669","https://openalex.org/W2066828202","https://openalex.org/W2074796812","https://openalex.org/W2074909580","https://openalex.org/W2078149659","https://openalex.org/W2095293504","https://openalex.org/W2109726592","https://openalex.org/W2121564430","https://openalex.org/W2131681506","https://openalex.org/W2132914434","https://openalex.org/W2135827982","https://openalex.org/W2137962371","https://openalex.org/W2142170653","https://openalex.org/W2151936673","https://openalex.org/W2247411266","https://openalex.org/W2275569093","https://openalex.org/W2312464733","https://openalex.org/W2470673105","https://openalex.org/W2523246573","https://openalex.org/W2782735072","https://openalex.org/W2806781084","https://openalex.org/W2901144993","https://openalex.org/W2943186426","https://openalex.org/W2950723285","https://openalex.org/W3087406311","https://openalex.org/W3099768174","https://openalex.org/W3102040396","https://openalex.org/W3102647957","https://openalex.org/W3104252707","https://openalex.org/W6604108467","https://openalex.org/W6680343917","https://openalex.org/W6681804681","https://openalex.org/W6727249380","https://openalex.org/W7028615529"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W1987679298","https://openalex.org/W2963177394","https://openalex.org/W4313359513","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848"],"abstract_inverted_index":{"Complex":[0],"networks":[1,150],"have":[2],"been":[3,42],"widely":[4],"adopted":[5],"to":[6,22],"represent":[7],"a":[8,14,35,67,81,112],"variety":[9],"of":[10,19,51,126,147],"complicated":[11],"systems.":[12],"Given":[13],"complex":[15,149],"network,":[16],"it":[17],"is":[18,90],"great":[20],"significance":[21],"perform":[23],"accurate":[24],"clustering":[25,37,70,122,130,145],"for":[26,142],"better":[27,113],"understanding":[28],"its":[29,58],"intrinsic":[30],"organization.":[31],"To":[32,60],"this":[33,62,64],"end,":[34],"fuzzy-based":[36],"algorithm,":[38,71],"i.e.,":[39],"FCAN,":[40],"has":[41,140],"developed.":[43],"Though":[44],"effective,":[45],"FCAN":[46,118],"suffers":[47],"from":[48,100,152],"the":[49,144],"disadvantage":[50],"slow":[52],"convergence,":[53],"which":[54,79],"in":[55,93,124],"return":[56],"constrains":[57],"efficiency.":[59],"address":[61],"issue,":[63],"article":[65],"proposes":[66],"fast":[68,88],"fuzzy":[69],"namely,":[72],"F":[73,105,134],"<inline-formula":[74,106,135],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75,107,136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[76,108,137],"notation=\"LaTeX\">$^2$</tex-math></inline-formula>":[77,109,138],"CAN,":[78],"incorporates":[80],"generalized":[82],"momentum":[83],"method":[84],"into":[85],"FCAN.":[86],"Its":[87],"convergence":[89,127],"rigorous":[91],"justified":[92],"theory.":[94],"Empirical":[95],"studies":[96],"on":[97],"five":[98],"datasets":[99],"real":[101],"applications":[102],"demonstrate":[103],"that":[104],"CAN":[110,139],"achieves":[111],"performance":[114],"when":[115],"compared":[116],"with":[117],"and":[119,129],"several":[120],"state-of-the-art":[121],"algorithms":[123],"terms":[125],"rate":[128],"accuracy":[131],"simultaneously.":[132],"Hence,":[133],"potential":[141],"addressing":[143],"analysis":[146],"large-scale":[148],"emerging":[151],"industrial":[153],"applications.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}