{"id":"https://openalex.org/W7092516903","doi":"https://doi.org/10.1109/access.2025.3623118","title":"NRF: A Network Reconstruction Framework for Community Detection in Bipartite Networks","display_name":"NRF: A Network Reconstruction Framework for Community Detection in Bipartite Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7092516903","doi":"https://doi.org/10.1109/access.2025.3623118"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3623118","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3623118","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3623118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Furong Chang","orcid":"https://orcid.org/0000-0002-1558-4120"},"institutions":[{"id":"https://openalex.org/I4210118178","display_name":"Yangzhou Polytechnic Institute","ror":"https://ror.org/02grzhe48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Furong Chang","raw_affiliation_strings":["School of Information Engineering, Yangzhou Polytechnic Institute, Yangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1558-4120","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou Polytechnic Institute, Yangzhou, China","institution_ids":["https://openalex.org/I4210118178"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Songxian Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118178","display_name":"Yangzhou Polytechnic Institute","ror":"https://ror.org/02grzhe48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songxian Wu","raw_affiliation_strings":["Department of Foundation Sciences, Yangzhou Polytechnic Institute, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Foundation Sciences, Yangzhou Polytechnic Institute, Yangzhou, China","institution_ids":["https://openalex.org/I4210118178"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0002-7865-5555"},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["Department of Computer Science, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7865-5555","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China","institution_ids":["https://openalex.org/I4210153668"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kenji Yoshigoe","orcid":"https://orcid.org/0000-0001-6040-4742"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenji Yoshigoe","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA"],"raw_orcid":"https://orcid.org/0000-0001-6040-4742","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Farhan Ullah","orcid":"https://orcid.org/0000-0002-1030-1275"},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Farhan Ullah","raw_affiliation_strings":["Cybersecurity Center, Prince Mohammad Bin Fahd University, Khobar, Dhahran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-1030-1275","affiliations":[{"raw_affiliation_string":"Cybersecurity Center, Prince Mohammad Bin Fahd University, Khobar, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xueshu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118178","display_name":"Yangzhou Polytechnic Institute","ror":"https://ror.org/02grzhe48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueshu Dong","raw_affiliation_strings":["School of Information Engineering, Yangzhou Polytechnic Institute, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou Polytechnic Institute, Yangzhou, China","institution_ids":["https://openalex.org/I4210118178"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.978,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82571132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"181507","last_page":"181518"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8281000256538391,"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":0.8281000256538391,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.11020000278949738,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.011500000022351742,"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/bipartite-graph","display_name":"Bipartite graph","score":0.9423999786376953},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6513000130653381},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4431000053882599},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.44119998812675476},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.44020000100135803},{"id":"https://openalex.org/keywords/network-structure","display_name":"Network structure","score":0.34209999442100525}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.9423999786376953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739999890327454},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6513000130653381},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4844000041484833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38029998540878296},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.2603999972343445}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3623118","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3623118","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b03c3688e4c14e44873b2e1fc71c5add","is_oa":true,"landing_page_url":"https://doaj.org/article/b03c3688e4c14e44873b2e1fc71c5add","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 181507-181518 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3623118","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3623118","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1987643017","https://openalex.org/W1989788024","https://openalex.org/W2014442726","https://openalex.org/W2023655578","https://openalex.org/W2032273054","https://openalex.org/W2039307015","https://openalex.org/W2067539801","https://openalex.org/W2095293504","https://openalex.org/W2112766038","https://openalex.org/W2125315567","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2270746387","https://openalex.org/W2473633166","https://openalex.org/W2606021539","https://openalex.org/W2769535977","https://openalex.org/W2800358691","https://openalex.org/W2897249806","https://openalex.org/W2944336125","https://openalex.org/W2947408788","https://openalex.org/W2953461625","https://openalex.org/W2962770299","https://openalex.org/W2980669976","https://openalex.org/W2998798581","https://openalex.org/W3003992897","https://openalex.org/W3046336598","https://openalex.org/W3118257130","https://openalex.org/W3126625348","https://openalex.org/W3131819656","https://openalex.org/W3153874679","https://openalex.org/W3164338400","https://openalex.org/W4205885741","https://openalex.org/W4253516827","https://openalex.org/W4306317455","https://openalex.org/W4377019474","https://openalex.org/W4382564411","https://openalex.org/W4389308145","https://openalex.org/W4404767741","https://openalex.org/W4405441946"],"related_works":[],"abstract_inverted_index":{"Community":[0],"detection":[1,30,54,143],"in":[2,55,72,173],"bipartite":[3,19,56,60,140],"networks":[4,20,57,61],"has":[5],"attracted":[6],"significant":[7],"attention":[8],"due":[9],"to":[10,24,48,52],"its":[11],"broad":[12],"applications.":[13],"However,":[14],"the":[15,74,79,87,92,96,102,110,125,149,169],"structural":[16,98,178],"complexity":[17],"of":[18,68,82,105,112,171],"makes":[21],"it":[22],"challenging":[23],"directly":[25,50],"apply":[26],"traditional":[27,166],"one-mode":[28,46,118],"community":[29,53,142,160],"methods.":[31],"To":[32,108],"address":[33],"this":[34,36,69,90],"limitation,":[35],"paper":[37],"proposes":[38],"a":[39],"Network":[40],"Reconstruction":[41],"Framework":[42],"(NRF),":[43],"which":[44,94],"enables":[45],"algorithms":[47,152],"be":[49],"applied":[51],"by":[58],"transforming":[59],"into":[62],"weighted":[63],"asymmetric":[64],"networks.":[65],"The":[66,145],"core":[67],"framework":[70],"lies":[71],"calculating":[73],"interaction":[75],"force":[76],"based":[77],"on":[78,129],"common":[80],"neighbors":[81],"node":[83,106],"pairs,":[84],"and":[85,123,131,135,157,177],"reconstructing":[86],"network":[88,133,141],"with":[89,138],"as":[91],"weight,":[93],"retains":[95],"original":[97],"information":[99,179],"while":[100],"enhancing":[101],"quantitative":[103],"expression":[104],"associations.":[107],"verify":[109],"effectiveness":[111],"NRF,":[113],"we":[114],"integrated":[115],"three":[116,150],"classic":[117],"algorithms\u2014Spectral":[119],"Clustering,":[120],"Label":[121],"Propagation,":[122],"Louvain\u2014into":[124],"framework,":[126],"conducted":[127],"experiments":[128],"synthetic":[130],"real-world":[132],"datasets,":[134],"compared":[136],"them":[137],"four":[139],"algorithms.":[144],"results":[146],"show":[147],"that":[148],"NRF-based":[151],"not":[153],"only":[154],"can":[155],"stably":[156],"accurately":[158],"identify":[159],"structures,":[161],"but":[162],"also":[163],"significantly":[164],"outperform":[165],"methods,":[167],"confirming":[168],"superiority":[170],"NRF":[172],"balancing":[174],"computational":[175],"efficiency":[176],"retention.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-21T00:00:00"}
