{"id":"https://openalex.org/W2734504143","doi":"https://doi.org/10.1109/icnidc.2016.7974611","title":"Edge pruning based community detection","display_name":"Edge pruning based community detection","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2734504143","doi":"https://doi.org/10.1109/icnidc.2016.7974611","mag":"2734504143"},"language":"en","primary_location":{"id":"doi:10.1109/icnidc.2016.7974611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2016.7974611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","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/A5002107909","display_name":"Weibao He","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibao He","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113604020","display_name":"Qianfang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianfang Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041909892","display_name":"Bo Xiao","orcid":"https://orcid.org/0000-0001-9361-4340"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xiao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19140095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"432","last_page":"436"},"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":0.9889000058174133,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9740999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8761566877365112},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7825459241867065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249499559402466},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.535396158695221},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5317068696022034},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47586530447006226},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.4532119929790497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38747212290763855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3661471903324127},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36019647121429443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33014994859695435},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.329828143119812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2321285605430603},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09129679203033447}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8761566877365112},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7825459241867065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249499559402466},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.535396158695221},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5317068696022034},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47586530447006226},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.4532119929790497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38747212290763855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3661471903324127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36019647121429443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33014994859695435},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.329828143119812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2321285605430603},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09129679203033447},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnidc.2016.7974611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2016.7974611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W206953779","https://openalex.org/W1914987135","https://openalex.org/W2023655578","https://openalex.org/W2032387206","https://openalex.org/W2073277016","https://openalex.org/W2124209874","https://openalex.org/W2131681506","https://openalex.org/W2132914434","https://openalex.org/W2166557397","https://openalex.org/W2207622687","https://openalex.org/W2296746822","https://openalex.org/W2964149605","https://openalex.org/W3099768174","https://openalex.org/W4244030505","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2387011115","https://openalex.org/W2782859253","https://openalex.org/W2045864404","https://openalex.org/W252900523","https://openalex.org/W4206022723","https://openalex.org/W1987965269"],"abstract_inverted_index":{"Given":[0],"a":[1,44,71,81,90,130],"network,":[2],"community":[3,45],"detection":[4,46],"aims":[5],"at":[6],"finding":[7],"all":[8,95],"dense":[9],"sub-graphs.":[10],"Removing":[11],"edges":[12],"across":[13],"different":[14],"communities":[15,143,167],"(border":[16],"edges)":[17],"is":[18,92],"classic":[19],"and":[20,107,116,125,156],"effective.":[21],"However,":[22],"most":[23,57],"of":[24,36,55,65,105],"existing":[25],"methods":[26],"have":[27],"high":[28,145,169],"computing":[29],"spends":[30],"or":[31],"suffer":[32],"in":[33],"the":[34,52,75],"quality":[35,146],"resulting":[37],"communities.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,68,100,112,128],"propose":[43,70],"algorithm:":[47],"Edge":[48,136,161],"Pruning":[49,137,162],"(EP),":[50],"with":[51,80,144,168],"fundamental":[53],"idea":[54],"removing":[56],"possible":[58,103],"border":[59,66,114,134],"edges.":[60,135],"To":[61],"find":[62,117],"out":[63,118],"features":[64],"edges,":[67,115],"first":[69],"method":[72,131],"to":[73,132],"measure":[74],"interplay":[76],"between":[77],"two":[78,139],"nodes":[79,98],"social":[82],"tie,":[83],"call":[84],"Nodes":[85],"Force":[86],"Model.":[87],"Second,":[88],"since":[89],"node":[91],"influenced":[93],"by":[94],"its":[96],"connected":[97],"(neighbors),":[99],"discuss":[101],"three":[102],"situations":[104],"neighbors":[106],"compute":[108],"their":[109,119],"influence.":[110],"Third,":[111],"study":[113],"local":[120,126],"features.":[121],"With":[122],"total":[123],"influence":[124],"features,":[127],"conclude":[129],"judge":[133],"has":[138],"advantages:":[140],"(1)":[141],"Detect":[142],"(2)":[147],"Low":[148],"time":[149],"complexity.":[150],"Experimental":[151],"results":[152],"on":[153],"real":[154],"networks":[155,158],"synthetic":[157],"demonstrate":[159],"that":[160],"not":[163],"only":[164],"effectively":[165],"detects":[166],"quality,":[170],"but":[171],"also":[172],"runs":[173],"efficiently.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
