{"id":"https://openalex.org/W2294581381","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-027","title":"Social distance games","display_name":"Social distance games","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W2294581381","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-027","mag":"2294581381"},"language":"en","primary_location":{"id":"mag:2294581381","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ijcai/ijcai2011.html#BranzeiL11","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null},"type":"conference-paper","indexed_in":[],"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/A5109273170","display_name":"Simina Br\u00e2nzei","orcid":"https://orcid.org/0000-0003-3066-0723"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Simina Br\u00e2nzei","raw_affiliation_strings":["[School of Computer Science, University of Waterloo, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[School of Computer Science, University of Waterloo, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105978897","display_name":"Kate Larson","orcid":"https://orcid.org/0000-0002-5455-9657"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kate Larson","raw_affiliation_strings":["[School of Computer Science, University of Waterloo, Canada]"],"raw_orcid":"https://orcid.org/0000-0002-5455-9657","affiliations":[{"raw_affiliation_string":"[School of Computer Science, University of Waterloo, Canada]","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":36.9318,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.99721116,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10108","display_name":"Electoral Systems and Political Participation","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.8644610643386841},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6116710305213928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.572406530380249},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5646049380302429},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5522987246513367},{"id":"https://openalex.org/keywords/transferable-utility","display_name":"Transferable utility","score":0.521856427192688},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.494865357875824},{"id":"https://openalex.org/keywords/social-welfare","display_name":"Social Welfare","score":0.466992050409317},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43698617815971375},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3799304962158203},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.3470827043056488},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.29589471220970154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22091048955917358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21394070982933044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1383904218673706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09424230456352234}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.8644610643386841},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6116710305213928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.572406530380249},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5646049380302429},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5522987246513367},{"id":"https://openalex.org/C81302675","wikidata":"https://www.wikidata.org/wiki/Q7834034","display_name":"Transferable utility","level":3,"score":0.521856427192688},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.494865357875824},{"id":"https://openalex.org/C536738050","wikidata":"https://www.wikidata.org/wiki/Q3249071","display_name":"Social Welfare","level":2,"score":0.466992050409317},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43698617815971375},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3799304962158203},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.3470827043056488},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.29589471220970154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22091048955917358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21394070982933044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1383904218673706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09424230456352234},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2294581381","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ijcai/ijcai2011.html#BranzeiL11","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"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":11,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W1533368239","https://openalex.org/W1897420762","https://openalex.org/W2056621120","https://openalex.org/W2081334386","https://openalex.org/W2128678576","https://openalex.org/W2130354913","https://openalex.org/W2134660637","https://openalex.org/W2161289211","https://openalex.org/W2163480486","https://openalex.org/W3121866901"],"related_works":["https://openalex.org/W2134660637","https://openalex.org/W2038992031","https://openalex.org/W2102617746","https://openalex.org/W2141263345","https://openalex.org/W2160325555","https://openalex.org/W175230508","https://openalex.org/W2017681469","https://openalex.org/W2949837391","https://openalex.org/W2604818366","https://openalex.org/W2604324589","https://openalex.org/W2419289815","https://openalex.org/W3125555204","https://openalex.org/W2204649750","https://openalex.org/W2143122080","https://openalex.org/W2121095158","https://openalex.org/W2011039300","https://openalex.org/W832572670","https://openalex.org/W2070069359","https://openalex.org/W2030237310","https://openalex.org/W1678742231"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"introduce":[4],"and":[5,39,62],"analyze":[6],"social":[7,36,75,90],"distance":[8,76],"games,":[9],"a":[10,22,45],"family":[11],"of":[12,24,30,58,89],"non-transferable":[13],"utility":[14,20],"coalitional":[15],"games":[16,43,77],"where":[17],"an":[18],"agent's":[19],"is":[21],"measure":[23],"closeness":[25],"to":[26,54],"the":[27,31,51,56,87],"other":[28],"members":[29],"coalition.":[32],"We":[33,49,72],"study":[34],"both":[35,79],"welfare":[37,57,70],"maximisation":[38],"stability":[40,52],"in":[41,81,86],"these":[42],"using":[44],"graph":[46],"theoretic":[47],"perspective.":[48],"use":[50],"gap":[53],"investigate":[55],"stable":[59],"coalition":[60],"structures,":[61],"propose":[63],"two":[64],"new":[65],"solution":[66],"concepts":[67],"with":[68],"improved":[69],"guarantees.":[71],"argue":[73],"that":[74],"are":[78],"interesting":[80],"themselves,":[82],"as":[83,85],"well":[84],"context":[88],"networks.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}