{"id":"https://openalex.org/W2214512521","doi":"https://doi.org/10.1109/iih-msp.2014.195","title":"A New Genetic Algorithm for Overlapping Community Detection","display_name":"A New Genetic Algorithm for Overlapping Community Detection","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2214512521","doi":"https://doi.org/10.1109/iih-msp.2014.195","mag":"2214512521"},"language":"en","primary_location":{"id":"doi:10.1109/iih-msp.2014.195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iih-msp.2014.195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","raw_type":"proceedings-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/A5032500781","display_name":"Bo Shen","orcid":"https://orcid.org/0000-0002-1040-1575"},"institutions":[{"id":"https://openalex.org/I4210145478","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210145478"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Shen","raw_affiliation_strings":["Department of Electronic and Information Engineering, Beijing Municipal Commission of Education Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Beijing Municipal Commission of Education Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I4210145478","https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049245470","display_name":"Ningwei Wang","orcid":"https://orcid.org/0000-0003-1567-3091"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210145478","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210145478"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningwei Wang","raw_affiliation_strings":["Department of Electronic and Information Engineering, Beijing Municipal Commission of Education Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Beijing Municipal Commission of Education Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I4210145478","https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107330395","display_name":"Huihuai Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210145478","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210145478"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihuai Qiu","raw_affiliation_strings":["Department of Electronic and Information Engineering, Beijing Municipal Commission of Education Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Beijing Municipal Commission of Education Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I4210145478","https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032500781"],"corresponding_institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210145478"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.16688338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"766","last_page":"769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7249404191970825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6983214020729065},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6422401070594788},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5932627320289612},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5733709335327148},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5544952154159546},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.5536829829216003},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.523956298828125},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46159598231315613},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43619585037231445},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.41827893257141113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27659931778907776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23068475723266602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17815130949020386}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7249404191970825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983214020729065},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6422401070594788},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5932627320289612},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5733709335327148},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5544952154159546},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5536829829216003},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.523956298828125},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46159598231315613},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43619585037231445},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.41827893257141113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27659931778907776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23068475723266602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17815130949020386},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iih-msp.2014.195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iih-msp.2014.195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1600524972","https://openalex.org/W1774824195","https://openalex.org/W1970301364","https://openalex.org/W1971421925","https://openalex.org/W2000560314","https://openalex.org/W2022615159","https://openalex.org/W2084283398","https://openalex.org/W2094234423","https://openalex.org/W2118608338","https://openalex.org/W2132013054","https://openalex.org/W2132202037","https://openalex.org/W2138655982","https://openalex.org/W2155167324","https://openalex.org/W2164928285","https://openalex.org/W2354177392","https://openalex.org/W3101413764","https://openalex.org/W3105411815","https://openalex.org/W7045695752"],"related_works":["https://openalex.org/W2542281239","https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2117632582"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,33],"proposed":[4],"a":[5,18],"new":[6,19],"genetic":[7,39],"algorithm":[8,16,80],"to":[9,21,29,44,53,65],"detecting":[10,86],"overlapping":[11,46,87],"community":[12],"in":[13],"networks.":[14],"This":[15],"uses":[17],"strategy":[20],"transform":[22],"adjacency":[23],"matrix":[24],"by":[25],"weighting":[26],"edges":[27],"according":[28],"their":[30],"centrality.":[31],"And":[32],"modified":[34],"some":[35],"rules":[36],"so":[37],"that":[38,78],"algorithms":[40],"can":[41],"be":[42],"applied":[43],"detect":[45],"communities.":[47],"A":[48],"matrix-based":[49],"encoding":[50],"is":[51,81],"adopted":[52],"improve":[54],"efficiency":[55],"of":[56],"crossover":[57],"and":[58,83],"decoding":[59],"operations.":[60],"We":[61],"use":[62],"nodes":[63],"similarity":[64],"generate":[66],"initial":[67],"populations.":[68],"By":[69],"experimental":[70],"comparison":[71],"with":[72],"other":[73],"algorithms,":[74],"simulation":[75],"results":[76],"show":[77],"the":[79],"effective":[82],"efficient":[84],"when":[85],"community.":[88]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
