{"id":"https://openalex.org/W2962881055","doi":"https://doi.org/10.1109/infocom.2016.7524473","title":"Terminal-set-enhanced community detection in social networks","display_name":"Terminal-set-enhanced community detection in social networks","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2962881055","doi":"https://doi.org/10.1109/infocom.2016.7524473","mag":"2962881055"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2016.7524473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","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/A5011783006","display_name":"Guangmo Tong","orcid":"https://orcid.org/0000-0003-3247-4019"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guangmo Tong","raw_affiliation_strings":["Dept. of Computer Science, University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Texas at Dallas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837769","display_name":"Lei Cui","orcid":"https://orcid.org/0000-0002-2598-0637"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Cui","raw_affiliation_strings":["Dept. of Computer Science, University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Texas at Dallas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070037321","display_name":"Weili Wu","orcid":"https://orcid.org/0000-0001-8747-6340"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]},{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Weili Wu","raw_affiliation_strings":["Dept. of Computer Science, University of Texas at Dallas, USA","Taiyuan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Texas at Dallas, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Taiyuan University of Technology, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112456072","display_name":"Cong Liu","orcid":"https://orcid.org/0000-0001-6850-1838"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Liu","raw_affiliation_strings":["Dept. of Computer Science, University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Texas at Dallas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037860988","display_name":"Ding\u2010Zhu Du","orcid":"https://orcid.org/0000-0002-7345-2185"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding-Zhu Du","raw_affiliation_strings":["Dept. of Computer Science, University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Texas at Dallas, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011783006"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.442,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68810174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11478","display_name":"Caching and Content Delivery","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.7565752267837524},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7329980134963989},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7239664793014526},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6289185285568237},{"id":"https://openalex.org/keywords/terminal","display_name":"Terminal (telecommunication)","score":0.5106440186500549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4646781086921692},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.46412232518196106},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3750457167625427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3143324851989746},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1932973563671112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13126322627067566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7565752267837524},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7329980134963989},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7239664793014526},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6289185285568237},{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.5106440186500549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4646781086921692},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.46412232518196106},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3750457167625427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3143324851989746},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1932973563671112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13126322627067566},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2016.7524473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337370","display_name":"Office of International Science and Engineering","ror":"https://ror.org/01k638r21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W603975761","https://openalex.org/W1914987135","https://openalex.org/W1964119857","https://openalex.org/W1971421925","https://openalex.org/W1984374364","https://openalex.org/W1985625141","https://openalex.org/W1989070206","https://openalex.org/W1998128290","https://openalex.org/W2013469283","https://openalex.org/W2023655578","https://openalex.org/W2034331023","https://openalex.org/W2038920443","https://openalex.org/W2047013860","https://openalex.org/W2047940964","https://openalex.org/W2070232376","https://openalex.org/W2081846387","https://openalex.org/W2086805702","https://openalex.org/W2095293504","https://openalex.org/W2111002549","https://openalex.org/W2116819994","https://openalex.org/W2121947440","https://openalex.org/W2127048411","https://openalex.org/W2152430833","https://openalex.org/W2167637346","https://openalex.org/W2168919539","https://openalex.org/W2273457870","https://openalex.org/W2335760940","https://openalex.org/W3098742898","https://openalex.org/W3101413764","https://openalex.org/W3102641634"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W3211557223","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Community":[0],"detection":[1,26,55,71,87,117],"aims":[2],"to":[3,49,95,127,149],"reveal":[4],"the":[5,16,24,30,53,60,84,90,103,129,138,144],"community":[6,25,54,70,86,116],"structure":[7],"in":[8,58,67,80,93],"a":[9,39,76,133],"social":[10],"network,":[11],"which":[12,44,124],"is":[13,38,56],"one":[14],"of":[15,32,41],"fundamental":[17],"problems.":[18],"In":[19,89],"this":[20],"paper":[21],"we":[22,100,119],"investigate":[23],"problem":[27],"based":[28],"on":[29,110,141],"concept":[31],"terminal":[33,36,61],"set.":[34],"A":[35],"set":[37,62],"group":[40],"users":[42,47],"within":[43],"any":[45],"two":[46,121],"belong":[48],"different":[50],"communities.":[51,152],"Although":[52],"hard":[57],"general,":[59],"can":[63],"be":[64],"very":[65],"helpful":[66],"designing":[68],"effective":[69],"algorithms.":[72],"We":[73],"first":[74],"present":[75],"2-approximation":[77],"algorithm":[78],"running":[79],"polynomial":[81],"time":[82],"for":[83],"original":[85],"problem.":[88],"other":[91],"issue,":[92],"order":[94],"better":[96],"support":[97],"real":[98],"applications":[99],"further":[101],"consider":[102],"case":[104],"when":[105],"extra":[106],"restrictions":[107],"are":[108,125,147],"imposed":[109],"feasible":[111],"partitions.":[112],"For":[113],"such":[114],"customized":[115],"problems,":[118],"provide":[120],"randomized":[122],"algorithms":[123,146],"able":[126,148],"find":[128],"optimal":[130],"partition":[131],"with":[132],"high":[134],"probability.":[135],"Demonstrated":[136],"by":[137],"experiments":[139],"performed":[140],"benchmark":[142],"networks":[143],"proposed":[145],"produce":[150],"high-quality":[151]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}