{"id":"https://openalex.org/W1969501980","doi":"https://doi.org/10.1109/cec.2014.6900367","title":"Ant colony clustering based on sampling for community detection","display_name":"Ant colony clustering based on sampling for community detection","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1969501980","doi":"https://doi.org/10.1109/cec.2014.6900367","mag":"1969501980"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Ant_colony_clustering_based_on_sampling_for_community_detection/27389253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025311663","display_name":"Xiangjing Song","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjing Song","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China","Coll. of Comput. Sci., Beijing Univ. Of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Comput. Sci., Beijing Univ. Of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035117617","display_name":"Junzhong Ji","orcid":"https://orcid.org/0000-0001-6951-741X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhong Ji","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China","Coll. of Comput. Sci., Beijing Univ. Of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Comput. Sci., Beijing Univ. Of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083745549","display_name":"Cuicui Yang","orcid":"https://orcid.org/0000-0002-4471-7447"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuicui Yang","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China","Coll. of Comput. Sci., Beijing Univ. Of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Comput. Sci., Beijing Univ. Of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021983750","display_name":"Xiuzhen Zhang","orcid":"https://orcid.org/0000-0001-5558-3790"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuzhen Zhang","raw_affiliation_strings":["School of Computer Science and IT, RMIT University, Melbourne, Australia","School of Computer Science and IT, RMIT University, Melbourne - Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and IT, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Computer Science and IT, RMIT University, Melbourne - Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"687","last_page":"692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958000183105469,"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/T13283","display_name":"Mental Health Research Topics","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8043379783630371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107069492340088},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.7039375901222229},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.637563169002533},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5692856907844543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.56710284948349},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.557755172252655},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5448524951934814},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5443907976150513},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.512468159198761},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4975722134113312},{"id":"https://openalex.org/keywords/hierarchical-clustering-of-networks","display_name":"Hierarchical clustering of networks","score":0.4475739598274231},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.43570244312286377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3993590772151947},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3549860119819641},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.34732478857040405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16636687517166138},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09969669580459595},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08095726370811462},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07717722654342651}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8043379783630371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107069492340088},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.7039375901222229},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.637563169002533},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5692856907844543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.56710284948349},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.557755172252655},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5448524951934814},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5443907976150513},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.512468159198761},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4975722134113312},{"id":"https://openalex.org/C82261393","wikidata":"https://www.wikidata.org/wiki/Q17038699","display_name":"Hierarchical clustering of networks","level":5,"score":0.4475739598274231},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.43570244312286377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3993590772151947},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3549860119819641},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.34732478857040405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16636687517166138},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09969669580459595},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08095726370811462},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07717722654342651},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2014.6900367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11247772570001341","is_oa":false,"landing_page_url":"http://doi.org/10.1109/CEC.2014.6900367","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27389253","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Ant_colony_clustering_based_on_sampling_for_community_detection/27389253","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27389253","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Ant_colony_clustering_based_on_sampling_for_community_detection/27389253","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1993834492","https://openalex.org/W1996510517","https://openalex.org/W2023655578","https://openalex.org/W2089458547","https://openalex.org/W2108614537","https://openalex.org/W2110765523","https://openalex.org/W2120043163","https://openalex.org/W2132202037","https://openalex.org/W2140823414","https://openalex.org/W2146591355","https://openalex.org/W2164928285","https://openalex.org/W2349814691","https://openalex.org/W2354177392","https://openalex.org/W4214502461"],"related_works":["https://openalex.org/W2385630304","https://openalex.org/W2384052049","https://openalex.org/W2353797829","https://openalex.org/W3082879003","https://openalex.org/W4241767317","https://openalex.org/W4220814143","https://openalex.org/W2133391650","https://openalex.org/W3093293392","https://openalex.org/W2373246114","https://openalex.org/W2361001097"],"abstract_inverted_index":{"Community":[0],"structure":[1],"detection":[2,97],"in":[3,11,35],"large-scale":[4,36,51],"complex":[5,37],"networks":[6,123],"has":[7],"been":[8],"intensively":[9],"investigated":[10],"recent":[12],"years.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19,43],"new":[20],"framework":[21],"which":[22],"employs":[23],"the":[24,50,56,63,69,73,78,84,91,96,107,112,115,125],"ant":[25,57],"colony":[26,58],"clustering":[27,59,86],"algorithm":[28,40,60,104],"based":[29],"on":[30,119],"sampling":[31,108],"to":[32,61,77,88],"discover":[33],"communities":[34,75],"networks.":[38],"The":[39],"firstly":[41],"samples":[42],"small":[44],"number":[45],"of":[46,95,102,114,127],"representative":[47],"nodes":[48,71],"from":[49],"network;":[52],"secondly":[53],"it":[54,67,82],"uses":[55],"cluster":[62],"sampled":[64],"nodes;":[65],"thirdly":[66],"assigns":[68],"un-sampled":[70],"into":[72],"detected":[74],"according":[76],"similarity":[79],"metric;":[80],"finally":[81],"merges":[83],"initial":[85],"result":[87],"sustainably":[89],"increase":[90],"modularity":[92],"function":[93],"value":[94],"results.":[98],"A":[99],"significant":[100],"advantage":[101],"our":[103,128],"is":[105],"that":[106],"method":[109],"greatly":[110],"reduces":[111],"scale":[113],"problem.":[116],"Experimental":[117],"results":[118],"computer-generated":[120],"and":[121],"real-world":[122],"show":[124],"efficiency":[126],"method.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}