{"id":"https://openalex.org/W4283270086","doi":"https://doi.org/10.1145/3529836.3529949","title":"A Community Detection Algorithm Based on Correlation Analysis of Connection Pattern","display_name":"A Community Detection Algorithm Based on Correlation Analysis of Connection Pattern","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4283270086","doi":"https://doi.org/10.1145/3529836.3529949"},"language":"en","primary_location":{"id":"doi:10.1145/3529836.3529949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","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/A5101074160","display_name":"Xinhong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]},{"id":"https://openalex.org/I4210101880","display_name":"Institute of Scientific and Technical Information","ror":"https://ror.org/0170b6c09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210101880","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhong Yin","raw_affiliation_strings":["Technology Innovation Platform Center, Institute of Scientific &amp;Technical Information of Gansu; Key Laboratory of Scientific&amp; Technical, China and IDM lab, School of Information Science and Engineering, Lanzhou University, China","Technology Innovation Platform Center, Institute of Scientific &Technical Information of Gansu"],"affiliations":[{"raw_affiliation_string":"Technology Innovation Platform Center, Institute of Scientific &amp;Technical Information of Gansu; Key Laboratory of Scientific&amp; Technical, China and IDM lab, School of Information Science and Engineering, Lanzhou University, China","institution_ids":["https://openalex.org/I4210101880","https://openalex.org/I76214153"]},{"raw_affiliation_string":"Technology Innovation Platform Center, Institute of Scientific &Technical Information of Gansu","institution_ids":["https://openalex.org/I4210101880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064444047","display_name":"Shiyan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyan Zhao","raw_affiliation_strings":["IDM lab, School of Information Science and Engineering, Lanzhou University, China"],"affiliations":[{"raw_affiliation_string":"IDM lab, School of Information Science and Engineering, Lanzhou University, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114777930","display_name":"Xianbo Li","orcid":"https://orcid.org/0000-0002-2949-2753"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbo Li","raw_affiliation_strings":["Si-Mian Institute for Advanced Studies in Humanities, Si-Mian Institute for Advanced Studies in Humanities, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"Si-Mian Institute for Advanced Studies in Humanities, Si-Mian Institute for Advanced Studies in Humanities, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063933367","display_name":"Su Hailong","orcid":"https://orcid.org/0000-0003-2862-1549"},"institutions":[{"id":"https://openalex.org/I4210101880","display_name":"Institute of Scientific and Technical Information","ror":"https://ror.org/0170b6c09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210101880","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Su","raw_affiliation_strings":["Technology Innovation Platform Center, Institute of Scientific &amp;Technical Information of Gansu; Key Laboratory of Scientific&amp; Technical, China","Key Laboratory of Scientific& Technical, China"],"affiliations":[{"raw_affiliation_string":"Technology Innovation Platform Center, Institute of Scientific &amp;Technical Information of Gansu; Key Laboratory of Scientific&amp; Technical, China","institution_ids":["https://openalex.org/I4210101880"]},{"raw_affiliation_string":"Key Laboratory of Scientific& Technical, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101074160"],"corresponding_institution_ids":["https://openalex.org/I4210101880","https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.1217,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39468346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"347","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.996999979019165,"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":0.9940999746322632,"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/link","display_name":"Link (geometry)","score":0.7246277332305908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6048421263694763},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.6024889945983887},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5557752251625061},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5500175952911377},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5280355215072632},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5199976563453674},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5088196396827698},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49568450450897217},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4548003673553467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4065370559692383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31820517778396606},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2880129814147949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22540146112442017},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.11483064293861389},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08063030242919922}],"concepts":[{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7246277332305908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048421263694763},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.6024889945983887},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5557752251625061},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5500175952911377},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5280355215072632},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5199976563453674},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5088196396827698},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49568450450897217},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4548003673553467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4065370559692383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31820517778396606},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2880129814147949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22540146112442017},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.11483064293861389},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08063030242919922},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529836.3529949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1512522810","https://openalex.org/W1967140769","https://openalex.org/W1971421925","https://openalex.org/W1983897352","https://openalex.org/W1989351810","https://openalex.org/W2000087119","https://openalex.org/W2013307517","https://openalex.org/W2023655578","https://openalex.org/W2032387206","https://openalex.org/W2045864404","https://openalex.org/W2064606292","https://openalex.org/W2080897802","https://openalex.org/W2082380642","https://openalex.org/W2087216833","https://openalex.org/W2089458547","https://openalex.org/W2094234423","https://openalex.org/W2095293504","https://openalex.org/W2098509290","https://openalex.org/W2103704311","https://openalex.org/W2130476447","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2132958441","https://openalex.org/W2134008243","https://openalex.org/W2144885342","https://openalex.org/W2146591355","https://openalex.org/W2158908968","https://openalex.org/W2161455936","https://openalex.org/W2164998314","https://openalex.org/W2174175128","https://openalex.org/W2201557959","https://openalex.org/W2398350456","https://openalex.org/W2547556676","https://openalex.org/W2556598943","https://openalex.org/W2585421148","https://openalex.org/W2604166883","https://openalex.org/W2613478770","https://openalex.org/W2616094075","https://openalex.org/W2768266158","https://openalex.org/W2780693286","https://openalex.org/W2788718083","https://openalex.org/W2792473587","https://openalex.org/W2951271819","https://openalex.org/W2963873688","https://openalex.org/W3099768174","https://openalex.org/W3100506471","https://openalex.org/W3101413764","https://openalex.org/W3126033509","https://openalex.org/W4239545644"],"related_works":["https://openalex.org/W2034220069","https://openalex.org/W2006852656","https://openalex.org/W1999828072","https://openalex.org/W11097679","https://openalex.org/W1985625141","https://openalex.org/W2948079051","https://openalex.org/W2133614729","https://openalex.org/W2035702630","https://openalex.org/W1964834700","https://openalex.org/W2379180037"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2],"of":[3,28,44,52,64,77,113,128,169],"complex":[4,15],"systems":[5],"in":[6,21],"the":[7,18,22,37,42,45,49,74,78,82,87,90,95,98,104,107,111,114,119,126,129,135,138,145,157,167,170,178,193,203],"real":[8,23],"world":[9],"can":[10,196],"be":[11],"abstractly":[12],"expressed":[13],"as":[14],"networks.":[16],"However,":[17],"existing":[19],"network":[20,180,185],"society":[24],"contains":[25],"some":[26,34],"information":[27],"link":[29,50,65,75],"pattern":[30,51,76],"and":[31,93,97,106,156,183],"there":[32],"is":[33,132,147,161],"correlation":[35,46,62,83,88],"between":[36,48],"vertices.":[38],"Therefore,":[39],"based":[40,60],"on":[41,61,177],"idea":[43],"analysis":[47,63],"vertices,":[53],"we":[54],"propose":[55],"a":[56],"community":[57,130,146,159,200],"detection":[58],"algorithm":[59,71,195],"pattern,":[66],"named":[67],"CCP":[68],"algorithm.":[69],"The":[70,188],"firstly":[72],"obtains":[73,94],"vertex,":[79],"then":[80],"calculates":[81],"coefficient":[84],"to":[85,110,118,134,165],"obtain":[86],"among":[89],"connection":[91],"nodes":[92,139],"must-link":[96,105],"cannot-link":[99,108,121],"pairwise":[100],"constraints.":[101],"Secondly,":[102],"expands":[103],"according":[109,117],"transferability":[112],"must-link.":[115,136],"Then,":[116],"expanded":[120],"set":[122],"cooperation":[123],"seed":[124],"node,":[125],"skeleton":[127],"structure":[131,160],"attracted":[133],"Finally,":[137],"that":[140,192],"are":[141,174],"not":[142],"classified":[143],"into":[144,149],"divided":[148],"corresponding":[150],"communities":[151],"by":[152],"minimum":[153],"spanning":[154],"tree,":[155],"final":[158],"obtained.":[162],"In":[163],"order":[164],"verify":[166],"performance":[168],"proposed":[171,194],"method,":[172],"experiments":[173],"carried":[175],"out":[176],"actual":[179],"data":[181,186],"sets":[182],"synthetic":[184],"sets.":[187],"experimental":[189],"results":[190],"show":[191],"extract":[197],"high":[198],"quality":[199],"structures":[201],"from":[202],"network.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
