{"id":"https://openalex.org/W2803897401","doi":"https://doi.org/10.1109/access.2018.2838568","title":"Semi-Supervised Community Detection Based on Distance Dynamics","display_name":"Semi-Supervised Community Detection Based on Distance Dynamics","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2803897401","doi":"https://doi.org/10.1109/access.2018.2838568","mag":"2803897401"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2838568","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2838568","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2018.2838568","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100526624","display_name":"Lilin Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lilin Fan","raw_affiliation_strings":["School of Computer Science and Technology, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102390890","display_name":"Shengli Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Xu","raw_affiliation_strings":["School of Computer Science and Technology, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032176468","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0003-4346-9565"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["School of Computer Science and Technology, Henan Normal University, Xinxiang, China"],"raw_orcid":"https://orcid.org/0000-0003-4346-9565","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053253351","display_name":"Yan Ru","orcid":"https://orcid.org/0000-0002-6832-2183"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ru","raw_affiliation_strings":["School of Computer Science and Technology, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100526624"],"corresponding_institution_ids":["https://openalex.org/I75955062"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6121,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90096154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"37261","last_page":"37271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.963100016117096,"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/computer-science","display_name":"Computer science","score":0.8250182867050171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5260426998138428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4724300801753998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4498039782047272},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.44817131757736206},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.32271960377693176},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10693863034248352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08416885137557983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250182867050171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5260426998138428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4724300801753998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4498039782047272},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.44817131757736206},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.32271960377693176},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10693863034248352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08416885137557983},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2838568","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2838568","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1de66a9407494fca91ecd094dbb3d214","is_oa":false,"landing_page_url":"https://doaj.org/article/1de66a9407494fca91ecd094dbb3d214","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 37261-37271 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2838568","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2838568","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4710614687","display_name":null,"funder_award_id":"QD14135","funder_id":"https://openalex.org/F4320311345","funder_display_name":"Henan Normal University"},{"id":"https://openalex.org/G747529409","display_name":null,"funder_award_id":"U1404604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311345","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W98823147","https://openalex.org/W136278976","https://openalex.org/W175854469","https://openalex.org/W1572272766","https://openalex.org/W1966286510","https://openalex.org/W1971421925","https://openalex.org/W1983897352","https://openalex.org/W1984374364","https://openalex.org/W2002189912","https://openalex.org/W2023655578","https://openalex.org/W2025543856","https://openalex.org/W2032387206","https://openalex.org/W2033852356","https://openalex.org/W2042728064","https://openalex.org/W2046253692","https://openalex.org/W2047427859","https://openalex.org/W2047940964","https://openalex.org/W2059745395","https://openalex.org/W2070232376","https://openalex.org/W2079068189","https://openalex.org/W2082380642","https://openalex.org/W2089458547","https://openalex.org/W2102931907","https://openalex.org/W2120043163","https://openalex.org/W2121084080","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2134089414","https://openalex.org/W2150256170","https://openalex.org/W2151936673","https://openalex.org/W2152284345","https://openalex.org/W2161455936","https://openalex.org/W2164998314","https://openalex.org/W2165849038","https://openalex.org/W2166557397","https://openalex.org/W2233410467","https://openalex.org/W2288457463","https://openalex.org/W2291912036","https://openalex.org/W2333916314","https://openalex.org/W2464143715","https://openalex.org/W2557489574","https://openalex.org/W2769087423","https://openalex.org/W3099768174","https://openalex.org/W3100506471","https://openalex.org/W3101413764","https://openalex.org/W6605447628","https://openalex.org/W6679849079","https://openalex.org/W6684512959","https://openalex.org/W6696737804"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Community":[0],"detection":[1,81,115],"methods":[2,38,58],"that":[3,21,41,85,104],"are":[4,64],"based":[5],"entirely":[6],"on":[7],"the":[8,11,22,31,47,87,91,105,111,118],"topology":[9],"of":[10,34,51,56,113],"network":[12],"do":[13],"not":[14,65],"always":[15],"achieve":[16],"higher":[17],"accuracy.":[18],"This":[19],"implies":[20],"topological":[23],"information":[24,44,89],"alone":[25],"is":[26],"insufficient":[27],"to":[28,45],"accurately":[29],"uncover":[30],"community":[32,52,80,114],"structures":[33],"networks.":[35,71],"Recently,":[36],"some":[37],"were":[39],"proposed":[40,106],"used":[42],"prior":[43,88],"improve":[46,110],"performance":[48],"and":[49,63,100,116],"accuracy":[50,112],"detection.":[53],"However,":[54],"most":[55],"these":[57],"have":[59],"high":[60],"time":[61,119],"consumption":[62],"suitable":[66],"for":[67],"dealing":[68],"with":[69],"large-scale":[70],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77],"fast":[78],"semi-supervised":[79],"method":[82,107],"called":[83],"SemiAttractor":[84],"integrates":[86],"into":[90],"distance":[92],"dynamics":[93],"model.":[94],"Experimental":[95],"results":[96],"from":[97],"both":[98],"artificial":[99],"real-world":[101],"networks":[102],"show":[103],"can":[108],"effectively":[109],"reduce":[117],"costs.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}