{"id":"https://openalex.org/W2138700526","doi":"https://doi.org/10.1147/jrd.2013.2251982","title":"Scalable community detection in massive social networks using MapReduce","display_name":"Scalable community detection in massive social networks using MapReduce","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2138700526","doi":"https://doi.org/10.1147/jrd.2013.2251982","mag":"2138700526"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2013.2251982","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2013.2251982","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-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/A5025849211","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0001-6313-1196"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"J. Shi","raw_affiliation_strings":["IBM Research - China, Haidian District, Beijing, China","[IBM Research-China, Haidian District, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"IBM Research - China, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"[IBM Research-China, Haidian District, Beijing, China]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652844","display_name":"Wei Xue","orcid":"https://orcid.org/0000-0002-4942-7748"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"W. Xue","raw_affiliation_strings":["Tencent, Inc., China Technology Exchange Building, Haidian District, Beijing, China","Tencent, Inc., Haidian District, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tencent, Inc., China Technology Exchange Building, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent, Inc., Haidian District, Beijing, China#TAB#","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080261132","display_name":"W. Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Wang","raw_affiliation_strings":["Shanghai Synacast Media Tech (PPLive), Inc., PuDong New District Shanghai , China"],"affiliations":[{"raw_affiliation_string":"Shanghai Synacast Media Tech (PPLive), Inc., PuDong New District Shanghai , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043936056","display_name":"Yangjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092299","display_name":"Qihoo 360 (China)","ror":"https://ror.org/00p4rkj69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210092299"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Zhang","raw_affiliation_strings":["Technology Company Limited, Qihoo","Qihoo 360 Technology Company Limited#TAB#"],"affiliations":[{"raw_affiliation_string":"Technology Company Limited, Qihoo","institution_ids":["https://openalex.org/I4210092299"]},{"raw_affiliation_string":"Qihoo 360 Technology Company Limited#TAB#","institution_ids":["https://openalex.org/I4210092299"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120314775","display_name":"Bing Yang","orcid":"https://orcid.org/0000-0002-2451-2495"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"B. Yang","raw_affiliation_strings":["IBM Software Group, China Development Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Software Group, China Development Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088954290","display_name":"JianXia Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156936","display_name":"IBM Research - Austin","ror":"https://ror.org/05gjbbg60","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210156936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Li","raw_affiliation_strings":["IBM Research - Austin, Austin, TX, USA","IBM Research - Austin, Austin, TX"],"affiliations":[{"raw_affiliation_string":"IBM Research - Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I4210156936"]},{"raw_affiliation_string":"IBM Research - Austin, Austin, TX","institution_ids":["https://openalex.org/I4210156936"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025849211"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":2.2448,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88750547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"3/4","first_page":"12:1","last_page":"12:14"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9955999851226807,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.8474632501602173},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8341182470321655},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.7387774586677551},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6098711490631104},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5701808333396912},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5389583110809326},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45583462715148926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4538038372993469},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4515586495399475},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.437646746635437},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4187600612640381},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.4160967469215393},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38991832733154297},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3428742289543152},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21951261162757874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17707881331443787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17347750067710876},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12381142377853394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474632501602173},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8341182470321655},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.7387774586677551},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6098711490631104},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5701808333396912},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5389583110809326},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45583462715148926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4538038372993469},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4515586495399475},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.437646746635437},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4187600612640381},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.4160967469215393},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38991832733154297},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3428742289543152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21951261162757874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17707881331443787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17347750067710876},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12381142377853394},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1147/jrd.2013.2251982","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2013.2251982","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W1598064945","https://openalex.org/W1604983895","https://openalex.org/W1969970763","https://openalex.org/W1971421925","https://openalex.org/W1986298815","https://openalex.org/W2020302654","https://openalex.org/W2038195874","https://openalex.org/W2047443612","https://openalex.org/W2066636486","https://openalex.org/W2071125379","https://openalex.org/W2077738892","https://openalex.org/W2082801772","https://openalex.org/W2095293504","https://openalex.org/W2095965857","https://openalex.org/W2098509290","https://openalex.org/W2101196063","https://openalex.org/W2109726592","https://openalex.org/W2115022330","https://openalex.org/W2119625792","https://openalex.org/W2120043163","https://openalex.org/W2125050594","https://openalex.org/W2127048411","https://openalex.org/W2151936673","https://openalex.org/W2161455936","https://openalex.org/W2164928285","https://openalex.org/W2167262444","https://openalex.org/W2173213060","https://openalex.org/W2606584716","https://openalex.org/W2878869565","https://openalex.org/W3101413764"],"related_works":["https://openalex.org/W2364921833","https://openalex.org/W2385146268","https://openalex.org/W2380023786","https://openalex.org/W2546696010","https://openalex.org/W2503642292","https://openalex.org/W1569389315","https://openalex.org/W1992741870","https://openalex.org/W2566086483","https://openalex.org/W2085410041","https://openalex.org/W2351639397"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,44,105,130],"present":[4],"a":[5,14,20,46],"community-detection":[6,67],"solution":[7],"for":[8],"massive-scale":[9],"social":[10],"networks":[11],"using":[12,113],"MapReduce,":[13],"parallel":[15],"programming":[16],"framework.":[17,41],"We":[18],"use":[19],"similarity":[21,110],"metric":[22],"to":[23,33,80,100,123,125],"model":[24,30],"the":[25,29,39,66,81,140,146],"community":[26],"probability,":[27],"and":[28,36,51,69,88,107,118,143],"is":[31],"designed":[32],"be":[34,98],"parallelizable":[35],"scalable":[37],"in":[38,121],"MapReduce":[40,114],"More":[42],"importantly,":[43],"propose":[45],"set":[47],"of":[48,58,75,77,94,145],"degree-based":[49],"preprocessing":[50],"postprocessing":[52,82],"techniques":[53],"named":[54],"DEPOLD":[55,96],"(DElayed":[56],"Processing":[57],"Large":[59],"Degree":[60],"nodes)":[61],"that":[62],"significantly":[63],"improve":[64],"both":[65,85],"accuracy":[68],"performance.":[70],"With":[71],"DEPOLD,":[72],"delaying":[73],"analysis":[74],"1%":[76],"high-degree":[78],"nodes":[79],"stage":[83],"reduces":[84],"processing":[86],"time":[87],"storage":[89],"space":[90],"by":[91],"one":[92],"order":[93,122],"magnitude.":[95],"can":[97],"applied":[99],"other":[101],"graph-clustering":[102],"problems.":[103],"Furthermore,":[104],"design":[106],"implement":[108],"two":[109],"calculation":[111],"algorithms":[112],"with":[115,133],"different":[116],"computation":[117],"communication":[119],"characteristics":[120],"adapt":[124],"various":[126],"system":[127],"configurations.":[128],"Finally,":[129],"conduct":[131],"experiments":[132],"publicly":[134],"available":[135],"datasets.":[136],"Our":[137],"evaluation":[138],"demonstrates":[139],"effectiveness,":[141],"efficiency,":[142],"scalability":[144],"proposed":[147],"solution.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
