{"id":"https://openalex.org/W3078929395","doi":"https://doi.org/10.1109/iske47853.2019.9170407","title":"An Improved Density Peaks Clustering based on Rough Set Theory for Overlapping Community Detection","display_name":"An Improved Density Peaks Clustering based on Rough Set Theory for Overlapping Community Detection","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3078929395","doi":"https://doi.org/10.1109/iske47853.2019.9170407","mag":"3078929395"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5101113770","display_name":"Yunfei Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Feng","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Techology,Chengdu,China","School of Information Science and Techology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Techology,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Techology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358460","display_name":"Hongmei Chen","orcid":"https://orcid.org/0000-0002-7225-5577"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Chen","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Techology,Chengdu,China","School of Information Science and Techology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Techology,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Techology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4043,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67991856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9954000115394592,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7611441016197205},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6705648899078369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6044340133666992},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5781679153442383},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5618391633033752},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5471205115318298},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5401285290718079},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4994015693664551},{"id":"https://openalex.org/keywords/set-theory","display_name":"Set theory","score":0.4945838153362274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4781278669834137},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4651203155517578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44417813420295715},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.42184534668922424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30993759632110596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09676283597946167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08523216843605042},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08078819513320923}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7611441016197205},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6705648899078369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6044340133666992},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5781679153442383},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5618391633033752},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5471205115318298},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5401285290718079},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4994015693664551},{"id":"https://openalex.org/C153046414","wikidata":"https://www.wikidata.org/wiki/Q12482","display_name":"Set theory","level":3,"score":0.4945838153362274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4781278669834137},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4651203155517578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44417813420295715},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.42184534668922424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30993759632110596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09676283597946167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08523216843605042},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08078819513320923},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1613448136","https://openalex.org/W2033237788","https://openalex.org/W2089458547","https://openalex.org/W2091202730","https://openalex.org/W2165835468","https://openalex.org/W2221868786","https://openalex.org/W2335708241","https://openalex.org/W2409053127","https://openalex.org/W2417814168","https://openalex.org/W2554897051","https://openalex.org/W2578054627","https://openalex.org/W2616094075","https://openalex.org/W2782194305","https://openalex.org/W2792473587","https://openalex.org/W2794244213","https://openalex.org/W2884280774","https://openalex.org/W2897360722","https://openalex.org/W2900745741","https://openalex.org/W2904470306","https://openalex.org/W2911004122","https://openalex.org/W2913780492","https://openalex.org/W2914110129","https://openalex.org/W2943906193","https://openalex.org/W3023166002","https://openalex.org/W4255833381","https://openalex.org/W6636447677"],"related_works":["https://openalex.org/W2978519593","https://openalex.org/W2382975841","https://openalex.org/W2374636872","https://openalex.org/W2388326106","https://openalex.org/W3006763407","https://openalex.org/W2375932290","https://openalex.org/W2102746356","https://openalex.org/W2018750854","https://openalex.org/W2166267060","https://openalex.org/W2360208636"],"abstract_inverted_index":{"Mining":[0],"community":[1,16,47,86,105],"structure":[2],"from":[3],"network":[4],"data":[5],"set":[6,51,90,101],"is":[7,18,43,58,92,108,127],"an":[8,38],"important":[9],"research":[10],"task":[11],"in":[12,60,73],"machine":[13],"learning.":[14],"Overlapping":[15],"detection":[17,106],"more":[19],"complex":[20],"due":[21],"to":[22,31,45,77,94],"the":[23,66,79,82,85,96],"ambiguous":[24],"of":[25,84],"nodes":[26,57,98],"which":[27],"may":[28],"be":[29],"partitioned":[30],"different":[32],"communities":[33],"simultaneously.":[34],"In":[35],"this":[36],"paper,":[37],"improved":[39],"density":[40,74],"peaks":[41,75],"clustering":[42,76],"proposed":[44],"overlapping":[46,97,104],"detection.":[48],"The":[49,121],"rough":[50,89,100],"theory":[52,91,102],"based":[53,103],"uncertain":[54],"similarity":[55],"between":[56],"defined":[59],"dual-nucleus":[61],"subspace":[62],"by":[63],"fully":[64],"considering":[65],"topological":[67],"structure.":[68],"Different":[69],"strategies":[70],"are":[71,111],"used":[72],"improve":[78],"efficiency":[80],"and":[81,99,118],"performance":[83],"division.":[87],"Furthermore,":[88],"employed":[93],"describe":[95],"algorithm":[107],"proposed.":[109],"Experiments":[110],"carried":[112],"out":[113],"on":[114],"real-world":[115],"social":[116],"networks":[117],"artificial":[119],"networks.":[120],"experimental":[122],"results":[123],"show":[124],"that":[125],"RSDPCD":[126],"effective.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
