{"id":"https://openalex.org/W2166563561","doi":"https://doi.org/10.1145/1367497.1367590","title":"Facetnet","display_name":"Facetnet","publication_year":2008,"publication_date":"2008-04-21","ids":{"openalex":"https://openalex.org/W2166563561","doi":"https://doi.org/10.1145/1367497.1367590","mag":"2166563561"},"language":"en","primary_location":{"id":"doi:10.1145/1367497.1367590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1367497.1367590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th international conference on World Wide Web","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/A5042159546","display_name":"Yu\u2010Ru Lin","orcid":"https://orcid.org/0000-0002-8497-3015"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu-Ru Lin","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075969864","display_name":"Y\u00fcn Chi","orcid":"https://orcid.org/0000-0002-8441-3974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Chi","raw_affiliation_strings":["NEC Laboratories America, Cupertino, CA, USA"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Cupertino, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103861122","display_name":"Shenghuo Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenghuo Zhu","raw_affiliation_strings":["NEC Laboratories America, Cupertino, CA, USA"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Cupertino, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018532037","display_name":"Hari Sundaram","orcid":"https://orcid.org/0000-0003-3315-6055"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Sundaram","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112455964","display_name":"Belle L. Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Belle L. Tseng","raw_affiliation_strings":["YAHOO! Inc., Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"YAHOO! Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042159546"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":22.2756,"has_fulltext":false,"cited_by_count":409,"citation_normalized_percentile":{"value":0.99705918,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"685","last_page":"694"},"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":0.9994000196456909,"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":0.9848999977111816,"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":0.7830387353897095},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.580508828163147},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4646095335483551},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.45807692408561707},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4517410099506378},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41412675380706787},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4113948941230774},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3994206190109253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3471514582633972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3258171081542969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11939555406570435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7830387353897095},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.580508828163147},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4646095335483551},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.45807692408561707},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4517410099506378},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41412675380706787},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4113948941230774},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3994206190109253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3471514582633972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3258171081542969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11939555406570435},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1367497.1367590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1367497.1367590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th international conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W97594948","https://openalex.org/W950821216","https://openalex.org/W1207633162","https://openalex.org/W1578099820","https://openalex.org/W1854214752","https://openalex.org/W1980435364","https://openalex.org/W1984374364","https://openalex.org/W1985796418","https://openalex.org/W1986007546","https://openalex.org/W1988020171","https://openalex.org/W2039750798","https://openalex.org/W2040466507","https://openalex.org/W2061901927","https://openalex.org/W2092124750","https://openalex.org/W2095293504","https://openalex.org/W2097876158","https://openalex.org/W2111708605","https://openalex.org/W2121947440","https://openalex.org/W2122710250","https://openalex.org/W2130024982","https://openalex.org/W2138621811","https://openalex.org/W2139850885","https://openalex.org/W2146058975","https://openalex.org/W2150739536","https://openalex.org/W2155640700","https://openalex.org/W2170337404","https://openalex.org/W2293546752","https://openalex.org/W4251670979","https://openalex.org/W6634702315","https://openalex.org/W6639055396","https://openalex.org/W6673591678","https://openalex.org/W6680905637","https://openalex.org/W6681338837"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W4390394189","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291"],"abstract_inverted_index":{"We":[0,56,90,203],"discover":[1,144],"communities":[2,13,31,76,110,123,145,173,222],"from":[3,63,230],"social":[4,22,43],"network":[5,47],"data,":[6],"and":[7,42,84,111,155,174,212,223],"analyze":[8,69],"the":[9,46,64,73,133,149,152,156,164],"community":[10,70],"evolution.":[11,158],"These":[12],"are":[14,77,130,177],"inherent":[15],"characteristics":[16],"of":[17,136,168],"human":[18],"interaction":[19],"in":[20,45,97,166,179],"online":[21],"networks,":[23],"as":[24,26,48,50],"well":[25,49],"paper":[27],"citation":[28],"networks.":[29],"Also,":[30],"may":[32],"evolve":[33],"over":[34],"time,":[35],"due":[36],"to":[37,39,52,68,87,151,197,199,215],"changes":[38,51],"individuals'":[40,53],"roles":[41],"status":[44],"research":[54],"interests.":[55],"present":[57],"an":[58,186,200],"innovative":[59],"algorithm":[60],"that":[61,92,146,217],"deviates":[62],"traditional":[65,74,231],"two-step":[66],"approach":[67,94,160],"evolutions.":[71,137],"In":[72,102,119],"approach,":[75],"first":[78],"detected":[79],"for":[80,108],"each":[81],"time":[82,192],"slice,":[83],"then":[85],"compared":[86],"determine":[88],"correspondences.":[89],"argue":[91],"this":[93,103,120,141],"is":[95,195],"inappropriate":[96],"applications":[98],"with":[99,189],"noisy":[100],"data.":[101],"paper,":[104],"we":[105,184],"propose":[106],"FacetNet":[107],"analyzing":[109],"their":[112,175],"evolutions":[113,176],"through":[114],"a":[115,139,180],"robust":[116],"unified":[117,181],"process.":[118],"novel":[121],"framework,":[122],"not":[124,227],"only":[125],"generate":[126],"evolutions,":[127],"they":[128],"also":[129],"regularized":[131],"by":[132],"temporal":[134,157],"smoothness":[135],"As":[138],"result,":[140],"framework":[142],"will":[143],"jointly":[147],"maximize":[148],"fit":[150],"observed":[153],"data":[154],"Our":[159],"relies":[161],"on":[162,208],"formulating":[163],"problem":[165],"terms":[167],"non-negative":[169],"matrix":[170],"factorization,":[171],"where":[172],"factorized":[178],"way.":[182],"Then":[183],"develop":[185],"iterative":[187],"algorithm,":[188],"proven":[190],"low":[191],"complexity,":[193],"which":[194],"guaranteed":[196],"converge":[198],"optimal":[201],"solution.":[202],"perform":[204],"extensive":[205],"experimental":[206],"studies,":[207],"both":[209],"synthetic":[210],"datasets":[211],"real":[213],"datasets,":[214],"demonstrate":[216],"our":[218],"method":[219],"discovers":[220],"meaningful":[221],"provides":[224],"additional":[225],"insights":[226],"directly":[228],"obtainable":[229],"methods.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":35},{"year":2017,"cited_by_count":27},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":33},{"year":2013,"cited_by_count":34},{"year":2012,"cited_by_count":29}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}
