{"id":"https://openalex.org/W2144970169","doi":"https://doi.org/10.1145/2254756.2254796","title":"Clustered embedding of massive social networks","display_name":"Clustered embedding of massive social networks","publication_year":2012,"publication_date":"2012-06-11","ids":{"openalex":"https://openalex.org/W2144970169","doi":"https://doi.org/10.1145/2254756.2254796","mag":"2144970169"},"language":"en","primary_location":{"id":"doi:10.1145/2254756.2254796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254756.2254796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems","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/A5108581295","display_name":"Han Hee Song","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Hee Song","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA","The University of Texas At Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"The University of Texas At Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066480361","display_name":"Berkant Savas","orcid":null},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Berkant Savas","raw_affiliation_strings":["Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057782282","display_name":"Tae Won Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tae Won Cho","raw_affiliation_strings":["AT&T Labs, Florham Park, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000342994","display_name":"Vacha Dave","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vacha Dave","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA","The University of Texas At Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"The University of Texas At Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084830556","display_name":"Zhengdong Lu","orcid":"https://orcid.org/0000-0002-6418-6030"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengdong Lu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063459703","display_name":"Inderjit S. Dhillon","orcid":"https://orcid.org/0000-0002-2759-1416"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Inderjit S. Dhillon","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA","The University of Texas At Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"The University of Texas At Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343712","display_name":"Yin Zhang\u22c6","orcid":"https://orcid.org/0000-0002-1772-0763"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA","The University of Texas At Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"The University of Texas At Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032760128","display_name":"Lili Qiu","orcid":"https://orcid.org/0000-0002-1590-9749"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lili Qiu","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA","The University of Texas At Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"The University of Texas At Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.914,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91626569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"342"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7354292273521423},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5751781463623047},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5742082595825195},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.5727453827857971},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.5409775972366333},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5368083119392395},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5357232689857483},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5334615707397461},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5226442813873291},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4951278269290924},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.48842018842697144},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48520973324775696},{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.48150500655174255},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4651321768760681},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43110817670822144},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.42978179454803467},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.41461920738220215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.322864294052124},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.3169413208961487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1272599697113037},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10284581780433655},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.09723630547523499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354292273521423},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5751781463623047},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5742082595825195},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.5727453827857971},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.5409775972366333},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5368083119392395},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5357232689857483},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5334615707397461},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5226442813873291},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4951278269290924},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.48842018842697144},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48520973324775696},{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.48150500655174255},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4651321768760681},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43110817670822144},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.42978179454803467},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.41461920738220215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.322864294052124},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3169413208961487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1272599697113037},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10284581780433655},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.09723630547523499},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2254756.2254796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254756.2254796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.258.7252","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.7252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/inderjit/public_papers/clustered-embedding-sigmetrics12.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.7082","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.7082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/yzhang/papers/social-sigm12.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W321429746","https://openalex.org/W1483985387","https://openalex.org/W1506690472","https://openalex.org/W1903894141","https://openalex.org/W1915605551","https://openalex.org/W1933130724","https://openalex.org/W1964731129","https://openalex.org/W1964869462","https://openalex.org/W1970874697","https://openalex.org/W1972714715","https://openalex.org/W1977935992","https://openalex.org/W1980431326","https://openalex.org/W2000036509","https://openalex.org/W2026417691","https://openalex.org/W2037933327","https://openalex.org/W2051142108","https://openalex.org/W2056285697","https://openalex.org/W2096041903","https://openalex.org/W2096653067","https://openalex.org/W2101890615","https://openalex.org/W2115022330","https://openalex.org/W2118862682","https://openalex.org/W2121761994","https://openalex.org/W2121947440","https://openalex.org/W2125032792","https://openalex.org/W2125531986","https://openalex.org/W2130789338","https://openalex.org/W2131112624","https://openalex.org/W2131183411","https://openalex.org/W2131681506","https://openalex.org/W2131717044","https://openalex.org/W2132603077","https://openalex.org/W2132914434","https://openalex.org/W2135957668","https://openalex.org/W2138890364","https://openalex.org/W2140584250","https://openalex.org/W2146591355","https://openalex.org/W2146616964","https://openalex.org/W2146964183","https://openalex.org/W2148847267","https://openalex.org/W2149863017","https://openalex.org/W2153204928","https://openalex.org/W2153644028","https://openalex.org/W2154202969","https://openalex.org/W2161902954","https://openalex.org/W2166748118","https://openalex.org/W2296616510","https://openalex.org/W2420733993","https://openalex.org/W2611328865","https://openalex.org/W2798909945","https://openalex.org/W2947000318","https://openalex.org/W3099386891","https://openalex.org/W3099768174","https://openalex.org/W3100447784","https://openalex.org/W3102105495","https://openalex.org/W3152062380","https://openalex.org/W4234473173","https://openalex.org/W4240443285","https://openalex.org/W4250955649","https://openalex.org/W6639897565","https://openalex.org/W6640021633","https://openalex.org/W6684348202","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W2357850008","https://openalex.org/W4283689077","https://openalex.org/W4362667792","https://openalex.org/W1504870855","https://openalex.org/W2354626818","https://openalex.org/W2042397917","https://openalex.org/W2186710387","https://openalex.org/W2229900507","https://openalex.org/W3043417545","https://openalex.org/W3113916987"],"abstract_inverted_index":{"The":[0],"explosive":[1],"growth":[2],"of":[3,18,46,98,107,123,152,161],"social":[4,19,57,67,114,124,136,164],"networks":[5,20],"has":[6],"created":[7],"numerous":[8],"exciting":[9],"research":[10,38],"opportunities.":[11],"A":[12],"central":[13],"concept":[14],"in":[15,33,158],"the":[16,27,34,64,88,92,99,117,150,156,159],"analysis":[17,108,138],"is":[21,43],"a":[22,44,70,75,104],"proximity":[23,40,53,121,140],"measure,":[24],"which":[25],"captures":[26,91],"closeness":[28],"or":[29],"similarity":[30],"between":[31],"nodes":[32,176],"network.":[35],"Despite":[36],"much":[37,71],"on":[39,112],"measures,":[41],"there":[42],"lack":[45],"techniques":[47],"to":[48,109,120,133,155,173],"efficiently":[49],"and":[50,95,102,130,145,169,177],"accurately":[51],"compute":[52],"measures":[54],"for":[55],"large-scale":[56],"networks.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,126],"embed":[63],"original":[65,100],"massive":[66,113],"graph":[68,90,101],"into":[69],"smaller":[72],"graph,":[73],"using":[74],"novel":[76],"dimensionality":[77],"reduction":[78],"technique":[79],"termed":[80],"Clustered":[81],"Spectral":[82],"Graph":[83],"Embedding.":[84],"We":[85,148],"show":[86],"that":[87],"embedded":[89],"essential":[93],"clustering":[94],"spectral":[96],"structure":[97],"allow":[103],"wide":[105],"range":[106],"be":[110],"performed":[111],"graphs.":[115],"Applying":[116],"clustered":[118],"embedding":[119],"measurement":[122],"networks,":[125],"develop":[127],"accurate,":[128],"scalable,":[129],"flexible":[131],"solutions":[132,154],"three":[134],"important":[135],"network":[137,165],"tasks:":[139],"estimation,":[141],"missing":[142],"link":[143,146],"inference,":[144],"prediction.":[147],"demonstrate":[149],"effectiveness":[151],"our":[153],"tasks":[157],"context":[160],"large":[162],"real-world":[163],"datasets:":[166],"Flickr,":[167],"LiveJournal,":[168],"MySpace":[170],"with":[171],"up":[172],"2":[174],"million":[175,179],"90":[178],"links.":[180]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}