{"id":"https://openalex.org/W2095462297","doi":"https://doi.org/10.1145/2806416.2806510","title":"Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks","display_name":"Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W2095462297","doi":"https://doi.org/10.1145/2806416.2806510","mag":"2095462297"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806510","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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/A5101642118","display_name":"Tong Zhao","orcid":"https://orcid.org/0009-0000-2453-3774"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Zhao","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017692278","display_name":"Hongke Zhao","orcid":"https://orcid.org/0000-0003-3099-4803"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H. Vicky Zhao","raw_affiliation_strings":["University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101642118"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.4315,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8167659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"851","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9991000294685364,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7999409437179565},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5945540070533752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5578615069389343},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5342800617218018},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5309616327285767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5180442333221436},{"id":"https://openalex.org/keywords/bayesian-game","display_name":"Bayesian game","score":0.48054343461990356},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4601607322692871},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4453742802143097},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4402678608894348},{"id":"https://openalex.org/keywords/network-formation","display_name":"Network formation","score":0.43720391392707825},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.2710091471672058},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1384563148021698},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10128435492515564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7999409437179565},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5945540070533752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5578615069389343},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5342800617218018},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5309616327285767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5180442333221436},{"id":"https://openalex.org/C200594392","wikidata":"https://www.wikidata.org/wiki/Q812529","display_name":"Bayesian game","level":4,"score":0.48054343461990356},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4601607322692871},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4453742802143097},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4402678608894348},{"id":"https://openalex.org/C68416499","wikidata":"https://www.wikidata.org/wiki/Q7001033","display_name":"Network formation","level":2,"score":0.43720391392707825},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.2710091471672058},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1384563148021698},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10128435492515564},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2806416.2806510","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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":45,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W1485811664","https://openalex.org/W1497567842","https://openalex.org/W1540903214","https://openalex.org/W1972708968","https://openalex.org/W1976999215","https://openalex.org/W1991055526","https://openalex.org/W1999762141","https://openalex.org/W2009205701","https://openalex.org/W2019512103","https://openalex.org/W2037933327","https://openalex.org/W2048531216","https://openalex.org/W2053225008","https://openalex.org/W2064754513","https://openalex.org/W2073415627","https://openalex.org/W2082945558","https://openalex.org/W2089349245","https://openalex.org/W2096994246","https://openalex.org/W2101409192","https://openalex.org/W2110193780","https://openalex.org/W2124187902","https://openalex.org/W2140310134","https://openalex.org/W2144780381","https://openalex.org/W2148847267","https://openalex.org/W2155847328","https://openalex.org/W2157540400","https://openalex.org/W2164361866","https://openalex.org/W2164412965","https://openalex.org/W2165409585","https://openalex.org/W2166193992","https://openalex.org/W2167467982","https://openalex.org/W2167574525","https://openalex.org/W2171279286","https://openalex.org/W2184214133","https://openalex.org/W2294878478","https://openalex.org/W2953011195","https://openalex.org/W3123605421","https://openalex.org/W3144068932","https://openalex.org/W6643290622","https://openalex.org/W6656217900","https://openalex.org/W6677078997","https://openalex.org/W6684102757","https://openalex.org/W6684119231","https://openalex.org/W6689878347","https://openalex.org/W6960012760"],"related_works":["https://openalex.org/W2975597301","https://openalex.org/W2952662149","https://openalex.org/W2000809578","https://openalex.org/W1584975288","https://openalex.org/W80394710","https://openalex.org/W2901097699","https://openalex.org/W2967547625","https://openalex.org/W3098915943","https://openalex.org/W1509292730","https://openalex.org/W2061160995"],"abstract_inverted_index":{"The":[0,175],"popularity":[1],"of":[2,25,78,101,159],"Online":[3],"Social":[4,87],"Networks":[5],"(OSNs)":[6],"has":[7,40],"attracted":[8],"great":[9],"research":[10],"interests":[11],"in":[12,35,43,71,86],"different":[13,112],"fields.":[14],"In":[15],"Economics,":[16],"researchers":[17],"use":[18],"game":[19,63,128,166],"theory":[20],"to":[21,48,61,92,114,170],"analyze":[22],"the":[23,76,99,185,198,203],"mechanism":[24],"network":[26,160],"formation,":[27],"which":[28],"is":[29,91],"called":[30],"Network":[31,102,144],"Formation":[32,103,145],"Game.":[33],"While":[34],"Computer":[36],"Science,":[37],"much":[38],"effort":[39],"been":[41],"done":[42],"building":[44],"machine":[45,67,106,132],"learning":[46,68,107,133],"models":[47],"predict":[49],"future":[50],"or":[51],"missing":[52],"links.":[53],"However,":[54],"there":[55],"are":[56,177],"few":[57],"works":[58],"considering":[59],"how":[60],"combine":[62],"theoretic":[64,129,167],"analysis":[65,130],"and":[66,162,184,197],"models.":[69,108,134],"Therefore,":[70],"this":[72,116],"paper,":[73],"we":[74,119,136,163],"study":[75],"problem":[77],"Exploiting":[79],"Game":[80,146],"Theoretic":[81],"Analysis":[82],"for":[83,152],"Link":[84],"Recommendation":[85],"Networks.":[88],"Our":[89],"goal":[90],"improve":[93,171],"link":[94,153],"recommendation":[95],"accuracy":[96],"via":[97],"leveraging":[98],"power":[100],"Games":[104],"into":[105,147],"We":[109],"present":[110],"two":[111],"approaches":[113],"solve":[115],"problem.":[117],"First,":[118],"propose":[120],"a":[121,138,148,165],"three-":[122],"phase":[123],"method":[124,196],"that":[125,142,191],"straightforwardly":[126],"combines":[127],"with":[131],"Second,":[135],"develop":[137],"unified":[139,199],"model,":[140],"BPRLGT,":[141],"incorporates":[143],"Bayesian":[149],"ranking":[150,200],"framework":[151],"recommendation.":[154],"Specifically,":[155],"BPRLGT":[156],"takes":[157],"advantage":[158],"topology":[161],"design":[164],"sampling":[168],"approach":[169],"its":[172],"training":[173],"process.":[174],"experiments":[176],"conducted":[178],"on":[179,187],"four":[180],"real":[181],"world":[182],"datasets":[183,189],"results":[186],"all":[188],"demonstrate":[190],"both":[192],"our":[193],"proposed":[194],"three-phase":[195],"model":[201],"outperform":[202],"baseline":[204],"methods.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}