{"id":"https://openalex.org/W2969733864","doi":"https://doi.org/10.1109/access.2019.2936248","title":"Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding","display_name":"Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969733864","doi":"https://doi.org/10.1109/access.2019.2936248","mag":"2969733864"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2936248","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936248","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08807341.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08807341.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079140040","display_name":"Manzhi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Manzhi Li","raw_affiliation_strings":["Hainan Key Laboratory for Computational Science and Application, Hainan Normal University, Haikou, China"],"affiliations":[{"raw_affiliation_string":"Hainan Key Laboratory for Computational Science and Application, Hainan Normal University, Haikou, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018836772","display_name":"Hongtao Wang","orcid":"https://orcid.org/0000-0002-6564-5753"},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Hainan Normal University, Haikou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Hainan Normal University, Haikou, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070695602","display_name":"Haixia Long","orcid":"https://orcid.org/0000-0002-2484-9389"},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Long","raw_affiliation_strings":["School of Information Science Technology, Hainan Normal University, Haikou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science Technology, Hainan Normal University, Haikou, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046328933","display_name":"Ju Xiang","orcid":"https://orcid.org/0000-0002-3045-5706"},"institutions":[{"id":"https://openalex.org/I165911609","display_name":"Changsha Medical University","ror":"https://ror.org/05dt7z971","country_code":"CN","type":"education","lineage":["https://openalex.org/I165911609"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Xiang","raw_affiliation_strings":["Neuroscience Research Center & Department of Basic Medical Sciences, Changsha Medical University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Neuroscience Research Center & Department of Basic Medical Sciences, Changsha Medical University, Changsha, China","institution_ids":["https://openalex.org/I165911609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408193","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0003-2694-8345"},"institutions":[{"id":"https://openalex.org/I4210139220","display_name":"Cipher Gene (China)","ror":"https://ror.org/03fqvdm62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210139220"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Geneis Beijing Company Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Geneis Beijing Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210139220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066469263","display_name":"Junlin Xu","orcid":"https://orcid.org/0000-0003-1057-1504"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlin Xu","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028692805","display_name":"Jialiang Yang","orcid":"https://orcid.org/0000-0003-4689-8672"},"institutions":[{"id":"https://openalex.org/I4210139220","display_name":"Cipher Gene (China)","ror":"https://ror.org/03fqvdm62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210139220"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialiang Yang","raw_affiliation_strings":["Geneis Beijing Company Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Geneis Beijing Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210139220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079140040"],"corresponding_institution_ids":["https://openalex.org/I152033890"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.576,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.66143654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"120616","last_page":"120625"},"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":0.9936000108718872,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6635793447494507},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.6214529871940613},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.545326828956604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4770614206790924},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4101853370666504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2935126721858978},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.24733173847198486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635793447494507},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.6214529871940613},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.545326828956604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4770614206790924},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4101853370666504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2935126721858978},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.24733173847198486}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2936248","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936248","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08807341.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9c682bc40d694b1796371b5e7ffc94a6","is_oa":true,"landing_page_url":"https://doaj.org/article/9c682bc40d694b1796371b5e7ffc94a6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 120616-120625 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2936248","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936248","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08807341.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.49000000953674316,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1489732811","display_name":null,"funder_award_id":"618MS057","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2448280140","display_name":null,"funder_award_id":"61702054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2787720483","display_name":null,"funder_award_id":"118QN231","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G2799729525","display_name":null,"funder_award_id":"2018JJ3568","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2839697840","display_name":null,"funder_award_id":"17A024","funder_id":"https://openalex.org/F4320311213","funder_display_name":"Education Department of Hunan Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3686742459","display_name":null,"funder_award_id":"02054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4112688067","display_name":null,"funder_award_id":"61903106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5408635072","display_name":null,"funder_award_id":"2018JJ3568","funder_id":"https://openalex.org/F4320311213","funder_display_name":"Education Department of Hunan Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G673463902","display_name":null,"funder_award_id":"kq1802024","funder_id":"https://openalex.org/F4320336634","funder_display_name":"Training Program for Excellent Young Innovators of Changsha"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8587083904","display_name":null,"funder_award_id":"61762034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311213","display_name":"Education Department of Hunan Province","ror":"https://ror.org/05ckg3w11"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336634","display_name":"Training Program for Excellent Young Innovators of Changsha","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969733864.pdf","grobid_xml":"https://content.openalex.org/works/W2969733864.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W125376580","https://openalex.org/W1967142413","https://openalex.org/W1970301364","https://openalex.org/W1979104937","https://openalex.org/W2023655578","https://openalex.org/W2037096232","https://openalex.org/W2051658465","https://openalex.org/W2065427498","https://openalex.org/W2068881679","https://openalex.org/W2091202730","https://openalex.org/W2094234423","https://openalex.org/W2095293504","https://openalex.org/W2096335861","https://openalex.org/W2098509290","https://openalex.org/W2103887734","https://openalex.org/W2116607359","https://openalex.org/W2118608338","https://openalex.org/W2127048411","https://openalex.org/W2127218421","https://openalex.org/W2138655982","https://openalex.org/W2156718197","https://openalex.org/W2164998314","https://openalex.org/W2227851241","https://openalex.org/W2293418895","https://openalex.org/W2377713473","https://openalex.org/W2479340554","https://openalex.org/W2519496013","https://openalex.org/W2566971417","https://openalex.org/W2570994438","https://openalex.org/W2572829959","https://openalex.org/W2581098287","https://openalex.org/W2614288045","https://openalex.org/W2766798854","https://openalex.org/W2789511664","https://openalex.org/W2898461244","https://openalex.org/W2949592116","https://openalex.org/W2949732206","https://openalex.org/W2951271819","https://openalex.org/W3098716471","https://openalex.org/W3100868867","https://openalex.org/W3101413764","https://openalex.org/W3101928875","https://openalex.org/W3102641634","https://openalex.org/W3103973800","https://openalex.org/W3105684253","https://openalex.org/W3126033509","https://openalex.org/W6678914141","https://openalex.org/W6682755970","https://openalex.org/W6709535953"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2081900870","https://openalex.org/W2073681303","https://openalex.org/W2068608913","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"With":[0],"the":[1,68,73,81,94,100,108,113],"increasing":[2],"availability":[3],"of":[4,97,112],"social":[5],"networks":[6],"and":[7,17,62,89,99,110,129],"biological":[8],"networks,":[9],"detecting":[10,25],"network":[11,48,141],"community":[12,26,49,63,119],"structure":[13,27,64],"has":[14,124],"become":[15],"more":[16,18],"important.":[19],"However,":[20],"most":[21],"traditional":[22,118],"methods":[23],"for":[24,139],"have":[28],"limitations":[29],"in":[30],"dimension":[31,77],"reduction":[32],"or":[33],"parameter":[34],"optimization.":[35],"In":[36],"this":[37,135],"paper,":[38],"we":[39,52,79],"propose":[40],"a":[41,54,125,130],"Density-Canopy-Kmeans":[42],"clustering":[43,88,91],"algorithm":[44],"(DCK)":[45],"to":[46,92,106],"detect":[47],"structure.":[50],"Specifically,":[51],"define":[53],"novel":[55],"distance":[56,61],"metric,":[57],"which":[58],"integrates":[59],"random":[60],"coefficient":[65],"based":[66],"on":[67],"Jaccard":[69],"distance.":[70],"After":[71],"applying":[72],"Multidimensional":[74],"Scaling":[75],"(MDS)":[76],"reduction,":[78],"cluster":[80],"nodes.":[82],"KMEANS":[83],"is":[84,137],"combined":[85],"with":[86,117],"density":[87],"canopy":[90],"determine":[93],"optimal":[95],"number":[96],"communities":[98],"best":[101],"initial":[102],"seeds":[103],"are":[104],"determined":[105],"improve":[107],"accuracy":[109,128],"stability":[111],"K-means":[114],"algorithm.":[115],"Compared":[116],"detection":[120],"methods,":[121],"our":[122],"method":[123,136],"higher":[126],"classification":[127],"better":[131],"visualization":[132],"effect.":[133],"Thus,":[134],"effective":[138],"analyzing":[140],"communities.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}