{"id":"https://openalex.org/W4414196967","doi":"https://doi.org/10.26599/bdma.2025.9020023","title":"Research on a Multilayer Network Community Detection Algorithm Based on Local Information Expansion","display_name":"Research on a Multilayer Network Community Detection Algorithm Based on Local Information Expansion","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414196967","doi":"https://doi.org/10.26599/bdma.2025.9020023"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2025.9020023","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020023","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2025.9020023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027938867","display_name":"Xiaoming Li","orcid":"https://orcid.org/0000-0002-9956-1793"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Li","raw_affiliation_strings":["College of International Business, Zhejiang Yuexiu University,Shaoxing,China,312000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of International Business, Zhejiang Yuexiu University,Shaoxing,China,312000","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162709352","display_name":"Sul Ross State University","ror":"https://ror.org/03x7qhw59","country_code":"US","type":"education","lineage":["https://openalex.org/I162709352"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["Sul Ross State University,Department of Computer Science and Mathematics,Alpine,TX,USA,79830"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sul Ross State University,Department of Computer Science and Mathematics,Alpine,TX,USA,79830","institution_ids":["https://openalex.org/I162709352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023940916","display_name":"Wei Yu","orcid":"https://orcid.org/0000-0003-3459-3695"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yu","raw_affiliation_strings":["College of International Business, Zhejiang Yuexiu University,Shaoxing,China,312000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of International Business, Zhejiang Yuexiu University,Shaoxing,China,312000","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336434","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-2161-1866"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["College of Software, Xinjiang University,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Xinjiang University,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020536498","display_name":"Hongpeng Bai","orcid":"https://orcid.org/0000-0002-6298-3327"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongpeng Bai","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China,300072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China,300072","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101746526","display_name":"Hongwei Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Jin","raw_affiliation_strings":["College of International Business, Zhejiang Yuexiu University,Shaoxing,China,312000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of International Business, Zhejiang Yuexiu University,Shaoxing,China,312000","institution_ids":["https://openalex.org/I192209268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.2181,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98018167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":"6","first_page":"1282","last_page":"1306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.7419000267982483,"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"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.7419000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7651000022888184},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7497000098228455},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6290000081062317},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6104999780654907},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4429999887943268},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.35929998755455017},{"id":"https://openalex.org/keywords/network-structure","display_name":"Network structure","score":0.34950000047683716},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3312000036239624}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7651000022888184},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7497000098228455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977999806404114},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6290000081062317},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6104999780654907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.593500018119812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49070000648498535},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3971000015735626},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32519999146461487},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2025.9020023","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020023","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d32d97b64d8141778d5002a3eadcb215","is_oa":true,"landing_page_url":"https://doaj.org/article/d32d97b64d8141778d5002a3eadcb215","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":"Big Data Mining and Analytics, Vol 8, Iss 6, Pp 1282-1306 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2025.9020023","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020023","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6107980447","display_name":null,"funder_award_id":"62272311,62102262","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":45,"referenced_works":["https://openalex.org/W1647431324","https://openalex.org/W1839609872","https://openalex.org/W1987219048","https://openalex.org/W1995996823","https://openalex.org/W1998420321","https://openalex.org/W2015953751","https://openalex.org/W2023655578","https://openalex.org/W2036216970","https://openalex.org/W2036400208","https://openalex.org/W2041967180","https://openalex.org/W2047940964","https://openalex.org/W2074617510","https://openalex.org/W2095711515","https://openalex.org/W2098005762","https://openalex.org/W2120043163","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2151936673","https://openalex.org/W2160938187","https://openalex.org/W2725075778","https://openalex.org/W2730820089","https://openalex.org/W2733274672","https://openalex.org/W2897360722","https://openalex.org/W2908795964","https://openalex.org/W2945372185","https://openalex.org/W2950729596","https://openalex.org/W2951292591","https://openalex.org/W2959472187","https://openalex.org/W3006947357","https://openalex.org/W3032910203","https://openalex.org/W3037826211","https://openalex.org/W3093301018","https://openalex.org/W3137206967","https://openalex.org/W3150955427","https://openalex.org/W3194841521","https://openalex.org/W3197190199","https://openalex.org/W3215333970","https://openalex.org/W3215352074","https://openalex.org/W4235169531","https://openalex.org/W4362671197","https://openalex.org/W4380742503","https://openalex.org/W4399661853","https://openalex.org/W4405062201"],"related_works":[],"abstract_inverted_index":{"Multilayer":[0],"networks,":[1,26],"as":[2,32],"an":[3],"important":[4],"branch":[5],"of":[6,21,55],"network":[7,56,82],"science,":[8],"have":[9],"become":[10],"a":[11,44,65,79],"powerful":[12],"tool":[13],"for":[14],"revealing":[15],"and":[16,74,113,134],"analyzing":[17],"the":[18,40,51,107,122],"internal":[19],"structures":[20],"complex":[22],"systems.":[23],"Within":[24],"these":[25],"community":[27,76,83],"detection":[28,84],"is":[29],"particularly":[30],"crucial,":[31],"it":[33],"assists":[34],"in":[35],"uncovering":[36],"hidden":[37],"patterns":[38],"within":[39],"network.":[41],"We":[42],"construct":[43],"seed":[45],"node":[46],"selection":[47],"method":[48],"based":[49],"on":[50],"local":[52,66],"structural":[53],"characteristics":[54],"nodes":[57],"and,":[58],"by":[59],"integrating":[60],"deep":[61],"learning":[62],"methods,":[63],"establish":[64],"information":[67],"expansion":[68],"strategy.":[69],"This":[70],"approach":[71],"effectively":[72],"identifies":[73],"expands":[75],"boundaries,":[77],"developing":[78],"novel":[80],"multilayer":[81],"algorithm-the":[85],"Layered":[86],"Information":[87],"Expansion":[88],"Detection":[89],"Algorithm":[90],"(LIEDA).":[91],"Its":[92],"exceptional":[93],"performance":[94],"has":[95,109,124],"been":[96],"experimentally":[97],"verified":[98],"using":[99],"multiple":[100,127],"real-world":[101],"datasets.":[102,136],"Compared":[103,116],"with":[104,117],"existing":[105],"technologies,":[106],"LIEDA":[108],"considerable":[110],"accuracy,":[111],"stability,":[112],"adaptability":[114],"advantages.":[115],"various":[118],"popular":[119],"benchmark":[120],"algorithms,":[121],"model":[123],"substantially":[125],"improved":[126],"evaluation":[128],"metrics":[129],"across":[130],"several":[131],"authoritative":[132],"public":[133],"synthetic":[135]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}