{"id":"https://openalex.org/W4292718593","doi":"https://doi.org/10.1145/3511808.3557076","title":"Measuring Friendship Closeness: A Perspective of Social Identity Theory","display_name":"Measuring Friendship Closeness: A Perspective of Social Identity Theory","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4292718593","doi":"https://doi.org/10.1145/3511808.3557076"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557076","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557076","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557076","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100362569","display_name":"Shiqi Zhang","orcid":"https://orcid.org/0000-0002-7155-9579"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shiqi Zhang","raw_affiliation_strings":["National University of Singapore & Southern University of Science and Technology, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore & Southern University of Science and Technology, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059651503","display_name":"J. F. Sun","orcid":"https://orcid.org/0000-0002-1315-6448"},"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":"Jiachen Sun","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073960312","display_name":"Wenqing Lin","orcid":"https://orcid.org/0000-0003-4741-801X"},"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":"Wenqing Lin","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010903591","display_name":"Xiaokui Xiao","orcid":"https://orcid.org/0000-0003-0914-4580"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaokui Xiao","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455930","display_name":"Bo Tang","orcid":"https://orcid.org/0000-0001-8424-0092"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Tang","raw_affiliation_strings":["Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100362569"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":3.2033,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92870544,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3664","last_page":"3673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9957000017166138,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9904000163078308,"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/closeness","display_name":"Closeness","score":0.9554303884506226},{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.9306843280792236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147114038467407},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5657188892364502},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5180397629737854},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5008804798126221},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4725216031074524},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45553895831108093},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4510936737060547},{"id":"https://openalex.org/keywords/social-identity-theory","display_name":"Social identity theory","score":0.4496590793132782},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.35886287689208984},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3358088731765747},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33160045742988586},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3258422613143921},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26865577697753906},{"id":"https://openalex.org/keywords/social-group","display_name":"Social group","score":0.24125662446022034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22852486371994019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17583873867988586},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10048919916152954}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.9554303884506226},{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.9306843280792236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147114038467407},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5657188892364502},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5180397629737854},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5008804798126221},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4725216031074524},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45553895831108093},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4510936737060547},{"id":"https://openalex.org/C98447023","wikidata":"https://www.wikidata.org/wiki/Q1540351","display_name":"Social identity theory","level":3,"score":0.4496590793132782},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.35886287689208984},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3358088731765747},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33160045742988586},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3258422613143921},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26865577697753906},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.24125662446022034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22852486371994019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17583873867988586},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10048919916152954},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3511808.3557076","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557076","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557076","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.09176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.09176","pdf_url":"https://arxiv.org/pdf/2208.09176","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3511808.3557076","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557076","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557076","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292718593.pdf","grobid_xml":"https://content.openalex.org/works/W4292718593.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W850481693","https://openalex.org/W1479963486","https://openalex.org/W1728918544","https://openalex.org/W1799750435","https://openalex.org/W1821624010","https://openalex.org/W1854214752","https://openalex.org/W1888005072","https://openalex.org/W1927722704","https://openalex.org/W1981993059","https://openalex.org/W1994918139","https://openalex.org/W2015152577","https://openalex.org/W2022704179","https://openalex.org/W2029778779","https://openalex.org/W2041157860","https://openalex.org/W2053186076","https://openalex.org/W2057418027","https://openalex.org/W2060900710","https://openalex.org/W2064503471","https://openalex.org/W2067825627","https://openalex.org/W2068944241","https://openalex.org/W2081234421","https://openalex.org/W2089370556","https://openalex.org/W2117831564","https://openalex.org/W2129494532","https://openalex.org/W2133299088","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2156020699","https://openalex.org/W2157069646","https://openalex.org/W2164900957","https://openalex.org/W2167482691","https://openalex.org/W2288746969","https://openalex.org/W2295598076","https://openalex.org/W2295606206","https://openalex.org/W2296563821","https://openalex.org/W2337540978","https://openalex.org/W2393319904","https://openalex.org/W2742330194","https://openalex.org/W2898940449","https://openalex.org/W2940470182","https://openalex.org/W2949813784","https://openalex.org/W2952677376","https://openalex.org/W2962721744","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2981547104","https://openalex.org/W3002293096","https://openalex.org/W3007813770","https://openalex.org/W3028825970","https://openalex.org/W3037076518","https://openalex.org/W3093696312","https://openalex.org/W3102499482","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W3104249938","https://openalex.org/W3135644062","https://openalex.org/W3142588439","https://openalex.org/W3148930093","https://openalex.org/W3172947246","https://openalex.org/W3176630230","https://openalex.org/W4250528839","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2156910174","https://openalex.org/W561612769","https://openalex.org/W1995054232","https://openalex.org/W3045500699","https://openalex.org/W2011510925","https://openalex.org/W3151629863","https://openalex.org/W1964514847","https://openalex.org/W4210492960","https://openalex.org/W183640876","https://openalex.org/W1589415932"],"abstract_inverted_index":{"Measuring":[0],"the":[1,29,36,44,50,62,68,79,82,88,113,120,130,138,169,192,215,219,233],"closeness":[2,48,76,110],"of":[3,46,64,90,127,135,145,171,182,194],"friendships":[4],"is":[5,49,137,154],"an":[6],"important":[7],"problem":[8],"that":[9,122,140,210],"finds":[10],"numerous":[11],"applications":[12],"in":[13,24,232],"practice.":[14],"For":[15],"example,":[16],"online":[17,203,223],"gaming":[18,204],"platforms":[19],"often":[20],"host":[21],"friendship-enhancing":[22],"events":[23],"which":[25,96,118,176],"a":[26,123,141,183],"user":[27],"(called":[28,35],"source)":[30],"only":[31,77],"invites":[32],"his/her":[33],"friend":[34],"target)":[37],"to":[38,156,160,190,228],"play":[39],"together.":[40],"In":[41,206],"this":[42,102,152,164],"scenario,":[43],"measure":[45],"friendship":[47,75,109],"backbone":[51],"for":[52,67,74,108],"understanding":[53],"source":[54,83],"invitation":[55],"and":[56,60,84,179],"target":[57,85,124,142,224],"adoption":[58],"behaviors,":[59],"underpins":[61],"recommendation":[63],"promising":[65],"targets":[66],"sources.":[69],"However,":[70],"most":[71],"existing":[72],"measures":[73,107],"consider":[78,177],"information":[80,89,181],"between":[81],"but":[86],"ignore":[87],"groups":[91,144],"where":[92],"they":[93],"are":[94],"located,":[95],"renders":[97],"inferior":[98],"results.":[99],"To":[100,163],"address":[101],"issue,":[103],"we":[104,166,208],"present":[105],"new":[106],"based":[111],"on":[112,201,218],"social":[114],"identity":[115],"theory":[116],"(SIT),":[117],"describes":[119],"inclination":[121],"endorses":[125],"behaviors":[126],"users":[128,146],"inside":[129],"same":[131],"group.":[132,185],"The":[133],"core":[134],"SIT":[136,172],"process":[139,153],"assesses":[143],"as":[147],"them":[148],"or":[149],"us.":[150],"Unfortunately,":[151],"difficult":[155],"be":[157],"captured":[158],"due":[159],"perceptual":[161],"factors.":[162],"end,":[165],"seamlessly":[167],"reify":[168],"factors":[170],"into":[173],"quantitative":[174],"measures,":[175],"local":[178],"global":[180],"target's":[184],"We":[186],"conduct":[187],"extensive":[188],"experiments":[189],"evaluate":[191],"effectiveness":[193],"our":[195,211],"proposal":[196],"against":[197],"8":[198],"state-of-the-art":[199],"methods":[200],"3":[202],"datasets.":[205],"particular,":[207],"demonstrate":[209],"solution":[212],"can":[213],"outperform":[214],"best":[216],"competitor":[217],"behavior":[220],"prediction":[221],"(resp.":[222,230],"recommendation)":[225],"by":[226],"up":[227],"23.2%":[229],"34.2%)":[231],"corresponding":[234],"evaluation":[235],"metric.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}