{"id":"https://openalex.org/W4413785720","doi":"https://doi.org/10.1109/access.2025.3603565","title":"Overlapping Community Detection in Statistical Keyword Co-Occurrence Network by Mixed-SCORE","display_name":"Overlapping Community Detection in Statistical Keyword Co-Occurrence Network by Mixed-SCORE","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413785720","doi":"https://doi.org/10.1109/access.2025.3603565"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3603565","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3603565","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.2025.3603565","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tianang Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianang Deng","raw_affiliation_strings":["School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040500169","display_name":"Tianchen Gao","orcid":"https://orcid.org/0000-0002-8814-1427"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianchen Gao","raw_affiliation_strings":["Beijing International Center for Mathematical Research (BICMR), Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8814-1427","affiliations":[{"raw_affiliation_string":"Beijing International Center for Mathematical Research (BICMR), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051179764","display_name":"Chuanxin Xia","orcid":"https://orcid.org/0000-0002-6169-5737"},"institutions":[{"id":"https://openalex.org/I4210160776","display_name":"Chinese Academy of International Trade and Economic Cooperation","ror":"https://ror.org/058dmkn21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210160776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanxin Xia","raw_affiliation_strings":["Chinese Academy of International Trade and Economic Cooperation, Ministry of Commerce People’s Republic of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of International Trade and Economic Cooperation, Ministry of Commerce People’s Republic of China, Beijing, China","institution_ids":["https://openalex.org/I4210160776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024572691","display_name":"Rui Pan","orcid":"https://orcid.org/0009-0000-3414-7594"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Pan","raw_affiliation_strings":["School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":1.6074,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84437331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"151289","last_page":"151303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9656000137329102,"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":0.9656000137329102,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9394000172615051,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9226999878883362,"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/co-occurrence","display_name":"Co-occurrence","score":0.691385805606842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784650683403015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3654717206954956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3345448672771454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2925339341163635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13200557231903076}],"concepts":[{"id":"https://openalex.org/C154290570","wikidata":"https://www.wikidata.org/wiki/Q1756768","display_name":"Co-occurrence","level":2,"score":0.691385805606842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784650683403015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3654717206954956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3345448672771454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2925339341163635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13200557231903076}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3603565","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3603565","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:219b2a46d31b411ea040dd6d11676853","is_oa":true,"landing_page_url":"https://doaj.org/article/219b2a46d31b411ea040dd6d11676853","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 151289-151303 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3603565","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3603565","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":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G397341468","display_name":null,"funder_award_id":"72471254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6542310906","display_name":null,"funder_award_id":"72471255","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":47,"referenced_works":["https://openalex.org/W1485582261","https://openalex.org/W1986214964","https://openalex.org/W1992107140","https://openalex.org/W2012593731","https://openalex.org/W2015953751","https://openalex.org/W2025572017","https://openalex.org/W2027966435","https://openalex.org/W2037096232","https://openalex.org/W2047940964","https://openalex.org/W2050601254","https://openalex.org/W2056760934","https://openalex.org/W2090422756","https://openalex.org/W2091202730","https://openalex.org/W2110620844","https://openalex.org/W2117897510","https://openalex.org/W2121947440","https://openalex.org/W2131681506","https://openalex.org/W2142170653","https://openalex.org/W2164928285","https://openalex.org/W2291128798","https://openalex.org/W2571311827","https://openalex.org/W2620315948","https://openalex.org/W2734601503","https://openalex.org/W2793868694","https://openalex.org/W2897249806","https://openalex.org/W2912917402","https://openalex.org/W2952136798","https://openalex.org/W3015166416","https://openalex.org/W3015216926","https://openalex.org/W3037093653","https://openalex.org/W3092841368","https://openalex.org/W3129186608","https://openalex.org/W3130482906","https://openalex.org/W3138147850","https://openalex.org/W3164338400","https://openalex.org/W3164441578","https://openalex.org/W3171570542","https://openalex.org/W3199610561","https://openalex.org/W4292081303","https://openalex.org/W4295338806","https://openalex.org/W4319442238","https://openalex.org/W4384283556","https://openalex.org/W4391431026","https://openalex.org/W4391744199","https://openalex.org/W4396877992","https://openalex.org/W4399369282","https://openalex.org/W4408932483"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Keyword":[0],"co-occurrence":[1,6,48,104,165],"networks,":[2],"constructed":[3],"by":[4,44],"the":[5,28,35,39,68,72,82,93,96,102,109,119,122,127,144],"relationships":[7],"of":[8,30,98,121,146,159],"keywords":[9],"in":[10,42,53,76,154,175],"academic":[11,25],"publications,":[12],"have":[13],"become":[14],"essential":[15],"tools":[16],"for":[17,63,171],"exploring":[18],"and":[19,88,135,149],"understanding":[20,145],"research":[21,40,113,147,173],"topics":[22,41,148,153],"within":[23,101],"specific":[24],"fields.":[26],"To":[27,61],"best":[29],"our":[31],"knowledge,":[32],"we":[33,66,125],"are":[34],"first":[36,94],"to":[37,59,117,143],"analyze":[38],"statistics":[43],"constructing":[45],"a":[46,168],"keyword":[47,103,164],"network":[49,105],"using":[50],"papers":[51],"published":[52],"42":[54],"statistical":[55],"journals":[56],"from":[57],"1992":[58],"2021.":[60],"correct":[62],"degree":[64],"heterogeneity,":[65],"apply":[67],"Mixed-SCORE":[69,123],"method":[70],"on":[71,163],"40-core":[73],"network,":[74],"resulting":[75],"10":[77],"overlapping":[78,99,131,160],"communities,":[79],"such":[80],"as":[81],"time":[83],"series":[84],"analysis,":[85,87],"high-dimensional":[86],"hypothesis":[89],"testing":[90],"communities.":[91],"For":[92],"time,":[95],"presence":[97],"communities":[100],"is":[106],"uncovered,":[107],"indicating":[108],"interconnections":[110,150],"between":[111,151],"different":[112],"topics.":[114],"In":[115],"addition,":[116],"evaluate":[118],"effectiveness":[120],"method,":[124],"compare":[126],"results":[128],"with":[129],"other":[130],"community":[132,161],"detection":[133,162],"methods":[134],"demonstrate":[136],"its":[137],"good":[138],"performance.":[139],"Our":[140],"study":[141],"contributes":[142],"multiple":[152],"statistics.":[155],"The":[156],"innovative":[157],"use":[158],"networks":[166],"provides":[167],"new":[169],"perspective":[170],"analyzing":[172],"patterns":[174],"various":[176],"disciplines.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}