{"id":"https://openalex.org/W2297750820","doi":"https://doi.org/10.1142/s0218001416590242","title":"Circularly Searching Core Nodes Based Label Propagation Algorithm for Community Detection","display_name":"Circularly Searching Core Nodes Based Label Propagation Algorithm for Community Detection","publication_year":2016,"publication_date":"2016-03-17","ids":{"openalex":"https://openalex.org/W2297750820","doi":"https://doi.org/10.1142/s0218001416590242","mag":"2297750820"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001416590242","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416590242","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5054791684","display_name":"Ronghua Shang","orcid":"https://orcid.org/0000-0001-9124-696X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Shang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an 710071, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an 710071, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735891","display_name":"Weitong Zhang","orcid":"https://orcid.org/0000-0003-1625-2870"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an 710071, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an 710071, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an 710071, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an 710071, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.2891,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80363477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"30","issue":"08","first_page":"1659024","last_page":"1659024"},"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":0.9882000088691711,"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":0.9648000001907349,"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/randomness","display_name":"Randomness","score":0.8011738657951355},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7512290477752686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790446639060974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5969894528388977},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5558468103408813},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5186066627502441},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5166569352149963},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3211965262889862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23076686263084412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17470133304595947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09665173292160034},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06913813948631287}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.8011738657951355},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7512290477752686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790446639060974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5969894528388977},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5558468103408813},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5186066627502441},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5166569352149963},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3211965262889862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23076686263084412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17470133304595947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09665173292160034},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06913813948631287},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001416590242","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416590242","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1587744656","https://openalex.org/W1971421925","https://openalex.org/W1974811277","https://openalex.org/W1994687138","https://openalex.org/W1998837416","https://openalex.org/W2008620264","https://openalex.org/W2011843642","https://openalex.org/W2015089907","https://openalex.org/W2015953751","https://openalex.org/W2023655578","https://openalex.org/W2024060531","https://openalex.org/W2029373408","https://openalex.org/W2047940964","https://openalex.org/W2052013161","https://openalex.org/W2078974642","https://openalex.org/W2079976732","https://openalex.org/W2084792706","https://openalex.org/W2088305762","https://openalex.org/W2089458547","https://openalex.org/W2095293504","https://openalex.org/W2103980282","https://openalex.org/W2112090702","https://openalex.org/W2114030927","https://openalex.org/W2116819994","https://openalex.org/W2120043163","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2146815027","https://openalex.org/W2161455936","https://openalex.org/W2169490594","https://openalex.org/W2171552940","https://openalex.org/W2221706442","https://openalex.org/W2233274521","https://openalex.org/W2320144048","https://openalex.org/W2963332217","https://openalex.org/W3022584652","https://openalex.org/W3099768174","https://openalex.org/W3101413764","https://openalex.org/W3102822398"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W2981906196","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W4327779705","https://openalex.org/W1513698804","https://openalex.org/W1965362147","https://openalex.org/W2098964748"],"abstract_inverted_index":{"With":[0],"the":[1,14,31,55,72,81,99,105,112,117,120,124,127,133,142,149,152,159,168,173,181,188,194,197,201,212,215,220,227,234,239,243,253,259,272,275,290,296],"application":[2,15],"of":[3,16,75,96,101,104,151,183,196,205,214,229,255,262,274,279,302],"community":[4,22],"detection":[5,23],"in":[6,54,123,226,277],"complex":[7],"networks":[8,287],"becoming":[9],"more":[10,12,17,19],"and":[11,18,26,40,88,171,218,264,285,298],"extensive,":[13],"algorithms":[20],"for":[21,91,208],"are":[24,59],"proposed":[25,291],"improved.":[27],"Among":[28],"these":[29],"algorithms,":[30],"label":[32,56,76,90,153,235],"propagation":[33,57,77,154,236],"algorithm":[34,78,237,292],"is":[35,44,107],"simple,":[36],"easy":[37,60],"to":[38,61,70,94,115,137,141,187,199],"perform":[39],"its":[41],"time":[42],"complexity":[43],"linear,":[45],"but":[46],"it":[47],"has":[48],"a":[49,68,248],"strong":[50],"randomness.":[51],"Small":[52],"communities":[53,223],"process":[58,228],"be":[62],"swallowed.":[63],"Therefore,":[64],"this":[65],"paper":[66],"proposes":[67],"method":[69,250,269],"improve":[71],"partition":[73,217,278],"results":[74],"based":[79,251],"on":[80,238,252,283],"pre-partition":[82],"by":[83,258],"circularly":[84,206],"searching":[85,207],"core":[86,128,134,175,209],"nodes":[87,92,118,160,185,210,263],"assigning":[89],"according":[93,140,186],"similarity":[95,143,189],"nodes.":[97,129,176,281],"First,":[98],"degree":[100,254,301],"each":[102],"node":[103],"network":[106,114,170,216,241,297],"calculated.":[108],"We":[109],"go":[110],"through":[111],"whole":[113,240],"find":[116,172],"with":[119,305],"maximal":[121],"degrees":[122],"neighbors":[125,139],"as":[126,167],"Next,":[130],"we":[131,157,179,232,246],"assign":[132],"nodes\u2019":[135],"labels":[136,162,182],"their":[138,265],"between":[144,190],"them,":[145],"which":[146],"can":[147,270,293],"reduce":[148,271],"randomness":[150],"algorithm.":[155],"Then,":[156,231],"arrange":[158],"whose":[161],"had":[163],"not":[164],"been":[165],"changed":[166],"new":[169,174],"After":[177],"that,":[178],"update":[180],"neighbor":[184,266],"them":[191],"again":[192],"until":[193],"end":[195],"iteration,":[198],"complete":[200],"pre-partition.":[202,244],"The":[203],"approach":[204],"increases":[211],"diversity":[213],"prevents":[219],"smaller":[221],"potential":[222],"being":[224],"swallowed":[225],"partition.":[230],"implement":[233],"after":[242],"Finally,":[245],"adopt":[247],"modified":[249],"membership":[256],"determined":[257],"bidirectional":[260],"attraction":[261],"communities.":[267],"This":[268],"possibility":[273],"error":[276],"few":[280],"Experiments":[282],"artificial":[284],"real":[286],"show":[288],"that":[289],"accurately":[294],"divide":[295],"get":[299],"higher":[300],"modularity":[303],"compared":[304],"five":[306],"existing":[307],"algorithms.":[308]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
