iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.24963/IJCAI.2022/38
{"id":"https://openalex.org/W4285601721","doi":"https://doi.org/10.24963/ijcai.2022/38","title":"Invasion Dynamics in the Biased Voter Process","display_name":"Invasion Dynamics in the Biased Voter Process","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285601721","doi":"https://doi.org/10.24963/ijcai.2022/38"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/38","pdf_url":"https://www.ijcai.org/proceedings/2022/0038.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First 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":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0038.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086972991","display_name":"Loke Durocher","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Loke Durocher","raw_affiliation_strings":["Aarhus University, Aabogade 34, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Aabogade 34, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061315439","display_name":"Panagiotis Karras","orcid":"https://orcid.org/0000-0002-7642-0875"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Panagiotis Karras","raw_affiliation_strings":["Aarhus University, Aabogade 34, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Aabogade 34, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022252401","display_name":"Andreas Pavlogiannis","orcid":"https://orcid.org/0000-0002-8943-0722"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Andreas Pavlogiannis","raw_affiliation_strings":["Aarhus University, Aabogade 34, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Aabogade 34, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020767612","display_name":"Josef Tkadlec","orcid":"https://orcid.org/0000-0003-0148-7722"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josef Tkadlec","raw_affiliation_strings":["Harvard University, 1 Oxford Street, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, 1 Oxford Street, Cambridge, USA","institution_ids":["https://openalex.org/I2801851002"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.531,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":7,"citation_normalized_percentile":{"value":0.997967,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":89},"biblio":{"volume":null,"issue":null,"first_page":"265","last_page":"271"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9999,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9999,"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/T11031","display_name":"Game Theory and Applications","score":0.9979,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9974,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voting-procedures","display_name":"Voting Procedures","score":0.58656},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.5834931},{"id":"https://openalex.org/keywords/agent-based-modeling","display_name":"Agent-Based Modeling","score":0.529731},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.52718127},{"id":"https://openalex.org/keywords/consensus-formation","display_name":"Consensus Formation","score":0.519516},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.49209493},{"id":"https://openalex.org/keywords/voter-model","display_name":"Voter model","score":0.48602086},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.46036518}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.5834931},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5680735},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5416487},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.5394171},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.52718127},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.49209493},{"id":"https://openalex.org/C2781396049","wikidata":"https://www.wikidata.org/wiki/Q7942158","display_name":"Voter model","level":2,"score":0.48602086},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.46036518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4235505},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.42143276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39999726},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35837784},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24734771},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/38","pdf_url":"https://www.ijcai.org/proceedings/2022/0038.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First 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":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2201.08207","pdf_url":"https://arxiv.org/pdf/2201.08207","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/38","pdf_url":"https://www.ijcai.org/proceedings/2022/0038.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First 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":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.47,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1553548137","https://openalex.org/W1680189815","https://openalex.org/W1993002652","https://openalex.org/W2003827431","https://openalex.org/W2033541016","https://openalex.org/W2040301417","https://openalex.org/W2058105398","https://openalex.org/W2084149434","https://openalex.org/W2099435513","https://openalex.org/W2126641717","https://openalex.org/W2150747216","https://openalex.org/W2395277311","https://openalex.org/W2792990871","https://openalex.org/W2948952101","https://openalex.org/W2966490072","https://openalex.org/W2968562364","https://openalex.org/W3000257494","https://openalex.org/W3098245042","https://openalex.org/W3184087412","https://openalex.org/W4232212779","https://openalex.org/W4283795623","https://openalex.org/W4285601721","https://openalex.org/W4292049208"],"related_works":["https://openalex.org/W4379619607","https://openalex.org/W4302557420","https://openalex.org/W3103225467","https://openalex.org/W2950500962","https://openalex.org/W2945022594","https://openalex.org/W2915041254","https://openalex.org/W2896347948","https://openalex.org/W2194604332","https://openalex.org/W1989453388","https://openalex.org/W1595919516"],"abstract_inverted_index":{"The":[0],"voter":[1],"process":[2,7],"is":[3,82,141,153,161,177],"a":[4,13,18,28,38,47,118,122,186],"classic":[5],"stochastic":[6,70],"that":[8,93,131,138,160,171],"models":[9],"the":[10,44,53,64,69,87,91,99,108,129,133,139,150,166,174],"invasion":[11,65,130],"of":[12,30,46,55,57,86,110,124,163,192],"mutant":[14,100],"trait":[15,40,54,101],"A":[16,78],"(e.g.,":[17,32],"new":[19],"opinion,":[20],"belief,":[21],"legend,":[22],"genetic":[23],"mutation,":[24],"magnetic":[25],"spin)":[26],"in":[27,84],"population":[29],"agents":[31,96,126],"people,":[33],"genes,":[34],"particles)":[35],"who":[36],"share":[37],"resident":[39],"B,":[41],"spread":[42],"over":[43,79],"nodes":[45],"graph.":[48],"An":[49,189],"agent":[50],"may":[51],"adopt":[52],"one":[56],"its":[58],"neighbors":[59],"at":[60],"any":[61,157],"time,":[62],"while":[63,149],"bias":[66],"r":[67],"quantifies":[68],"preference":[71],"towards":[72],"(r>1)":[73],"or":[74],"against":[75],"(r<1)":[76],"adopting":[77],"B.":[80],"Success":[81],"measured":[83],"terms":[85],"fixation":[88,111,134],"probability,":[89],"i.e.,":[90],"probability":[92,112],"eventually":[94],"all":[95],"have":[97],"adopted":[98],"A.":[102],"In":[103],"this":[104,115],"paper":[105],"we":[106,169],"study":[107],"problem":[109,140],"maximization":[113],"under":[114],"model:":[116],"given":[117],"budget":[119],"k,":[120],"find":[121],"set":[123],"k":[125],"to":[127],"initiate":[128],"maximizes":[132],"probability.":[135],"We":[136],"show":[137,170],"NP-hard":[142],"for":[143],"both":[144],"regimes":[145],"r>1":[146],"and":[147,179],"r<1,":[148],"latter":[151],"case":[152],"also":[154],"inapproximable":[155],"within":[156,185],"multiplicative":[158],"factor":[159,187],"independent":[162],"r.":[164],"On":[165],"positive":[167],"side,":[168],"when":[172],"r>1,":[173],"optimization":[175],"function":[176],"submodular":[178],"thus":[180],"can":[181],"be":[182],"greedily":[183],"approximated":[184],"1-1/e.":[188],"experimental":[190],"evaluation":[191],"some":[193],"proposed":[194],"heuristics":[195],"corroborates":[196],"our":[197],"results.":[198]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285601721","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-05T03:52:05.384925","created_date":"2022-07-16"}