{"id":"https://openalex.org/W1988089813","doi":"https://doi.org/10.1109/bigdata.2014.7004267","title":"Clique guided community detection","display_name":"Clique guided community detection","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1988089813","doi":"https://doi.org/10.1109/bigdata.2014.7004267","mag":"1988089813"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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/A5067007931","display_name":"Diana Palsetia","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diana Palsetia","raw_affiliation_strings":["Northwestern University, Evanston, IL","Northwestern University Evanston IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University Evanston IL","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041039212","display_name":"Md. Mostofa Ali Patwary","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Mostofa Ali Patwary","raw_affiliation_strings":["Parallel Computing Lab, Intel, Santa Clara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Parallel Computing Lab, Intel, Santa Clara, CA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113712125","display_name":"William Hendrix","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Hendrix","raw_affiliation_strings":["Northwestern University, Evanston, IL","Northwestern University Evanston IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University Evanston IL","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004659592","display_name":"Ankit Agrawal","orcid":"https://orcid.org/0000-0002-5519-0302"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankit Agrawal","raw_affiliation_strings":["Northwestern University, Evanston, IL","Northwestern University Evanston IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University Evanston IL","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074976770","display_name":"Alok Choudhary","orcid":"https://orcid.org/0000-0001-8152-6319"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alok Choudhary","raw_affiliation_strings":["Northwestern University, Evanston, IL","Northwestern University Evanston IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University Evanston IL","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.235,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.54251537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9934999942779541,"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":0.9921000003814697,"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/clique-percolation-method","display_name":"Clique percolation method","score":0.7516684532165527},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.7019760608673096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6607463955879211},{"id":"https://openalex.org/keywords/clique-problem","display_name":"Clique problem","score":0.6358740925788879},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5815808773040771},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5324223041534424},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.523012101650238},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.48596131801605225},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4352349638938904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.391070693731308},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.27933791279792786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24641737341880798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1956811249256134},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.12388628721237183},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12041506171226501},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11908230185508728},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.0812879204750061}],"concepts":[{"id":"https://openalex.org/C128243737","wikidata":"https://www.wikidata.org/wiki/Q5134414","display_name":"Clique percolation method","level":3,"score":0.7516684532165527},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.7019760608673096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607463955879211},{"id":"https://openalex.org/C150997102","wikidata":"https://www.wikidata.org/wiki/Q1196873","display_name":"Clique problem","level":5,"score":0.6358740925788879},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5815808773040771},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5324223041534424},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.523012101650238},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.48596131801605225},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4352349638938904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.391070693731308},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.27933791279792786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24641737341880798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1956811249256134},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.12388628721237183},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12041506171226501},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11908230185508728},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0812879204750061},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2014.7004267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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":42,"referenced_works":["https://openalex.org/W950821216","https://openalex.org/W1849256610","https://openalex.org/W1971421925","https://openalex.org/W1971788485","https://openalex.org/W1973673208","https://openalex.org/W1983549688","https://openalex.org/W1994473607","https://openalex.org/W2011039300","https://openalex.org/W2023655578","https://openalex.org/W2026320281","https://openalex.org/W2033193852","https://openalex.org/W2036989370","https://openalex.org/W2038518475","https://openalex.org/W2038920443","https://openalex.org/W2047013860","https://openalex.org/W2047940964","https://openalex.org/W2054902478","https://openalex.org/W2076128946","https://openalex.org/W2089458547","https://openalex.org/W2095293504","https://openalex.org/W2108498827","https://openalex.org/W2108614537","https://openalex.org/W2116007667","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2134931490","https://openalex.org/W2136486572","https://openalex.org/W2136576902","https://openalex.org/W2136975349","https://openalex.org/W2151936673","https://openalex.org/W2155829611","https://openalex.org/W2160429376","https://openalex.org/W2164727176","https://openalex.org/W2164928285","https://openalex.org/W2165533101","https://openalex.org/W2183091601","https://openalex.org/W2951947541","https://openalex.org/W3102641634","https://openalex.org/W3150104222","https://openalex.org/W4235169531","https://openalex.org/W6638984143","https://openalex.org/W6685863130"],"related_works":["https://openalex.org/W2946244341","https://openalex.org/W4285171291","https://openalex.org/W2140498717","https://openalex.org/W3026031552","https://openalex.org/W2162082186","https://openalex.org/W2277582367","https://openalex.org/W4226177120","https://openalex.org/W2617596428","https://openalex.org/W3082442837","https://openalex.org/W2056356500"],"abstract_inverted_index":{"Discovering":[0],"communities":[1],"to":[2,38,96,108,168,200,213],"understand":[3],"and":[4,20,130,221],"model":[5],"network":[6],"structures":[7],"has":[8,75],"been":[9,25,106],"a":[10,67,70,101,125,136,176,197,205],"fundamental":[11],"problem":[12],"in":[13],"several":[14],"fields":[15],"including":[16],"social":[17],"networks,":[18],"physics,":[19],"biology.":[21],"Many":[22],"algorithms":[23,51],"have":[24,105],"developed":[26],"for":[27,53,128],"finding":[28,115],"the":[29,56,64,76,82,112,148,151,157,160,163,170,183,215,218],"communities.":[30,110],"Modularity":[31],"based":[32,50],"technique":[33],"is":[34,42,61,91,117,180,196],"fairly":[35],"new":[36,126,198,219],"relative":[37],"clustering,":[39],"though":[40],"it":[41,74],"very":[43],"popular":[44],"currently.":[45],"Although":[46],"some":[47],"fast":[48,129],"modularity":[49],"exist":[52],"detecting":[54],"communities,":[55],"quality":[57,178],"of":[58,87,114,144,172,217],"these":[59],"solutions":[60],"limited.":[62],"At":[63],"other":[65,226],"extreme,":[66],"clique":[68,137],"embodies":[69],"basic":[71],"community":[72,132,139],"as":[73],"greatest":[77],"possible":[78],"edge":[79],"density.":[80],"However,":[81,111],"requirement":[83],"that":[84,142],"each":[85],"pair":[86],"vertices":[88,174],"be":[89],"connected":[90],"too":[92],"strict.":[93],"Therefore,":[94],"techniques":[95],"merge":[97],"partitioned":[98],"cliques":[99,116,161,203],"using":[100,204],"hill-climbing":[102],"greedy":[103],"algorithm":[104,189,220],"studied":[107],"form":[109],"task":[113],"computationally":[118],"expensive.":[119],"In":[120,147,156],"this":[121],"paper,":[122],"we":[123,186],"present":[124],"approach":[127,199,224],"efficient":[131],"detection.":[133],"We":[134,209],"propose":[135],"guided":[138],"detection":[140],"framework":[141,152],"consists":[143],"two":[145],"phases.":[146],"first":[149,164,184],"phase,":[150,159,185],"finds":[153],"disjoint":[154,202],"cliques.":[155],"second":[158],"from":[162],"phase":[165],"are":[166],"used":[167],"guide":[169],"merging":[171],"individual":[173],"until":[175],"good":[177],"solution":[179],"obtained.":[181],"For":[182],"develop":[187],"an":[188],"named":[190],"MaCH":[191],"(Maximum":[192],"Clique":[193],"Heuristic),":[194],"which":[195],"compute":[201],"heuristic-based":[206],"branch-and-bound":[207],"technique.":[208],"provide":[210],"experimental":[211],"results":[212],"demonstrate":[214],"efficiency":[216],"compare":[222],"our":[223],"with":[225],"previously":[227],"proposed":[228],"algorithms.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
