{"id":"https://openalex.org/W2295635891","doi":"https://doi.org/10.1145/1081870.1081871","title":"Incentive networks","display_name":"Incentive networks","publication_year":2005,"publication_date":"2005-08-21","ids":{"openalex":"https://openalex.org/W2295635891","doi":"https://doi.org/10.1145/1081870.1081871","mag":"2295635891"},"language":"en","primary_location":{"id":"doi:10.1145/1081870.1081871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","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/A5078491738","display_name":"Prabhakar Raghavan","orcid":"https://orcid.org/0000-0001-9853-7604"},"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":true,"raw_author_name":"Prabhakar Raghavan","raw_affiliation_strings":["Yahoo! Research, Sunnyvale CA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Sunnyvale CA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078491738"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":1.3049,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83451066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9886999726295471,"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"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9886999726295471,"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/T12288","display_name":"Optimization and Search Problems","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9642000198364258,"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/incentive","display_name":"Incentive","score":0.874923586845398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7381693124771118},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.61014723777771},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6063511967658997},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5771462917327881},{"id":"https://openalex.org/keywords/incentive-compatibility","display_name":"Incentive compatibility","score":0.5231060981750488},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.4776100814342499},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.35057878494262695},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32941383123397827},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12453827261924744},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.10837948322296143}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.874923586845398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7381693124771118},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.61014723777771},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6063511967658997},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5771462917327881},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.5231060981750488},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.4776100814342499},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.35057878494262695},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32941383123397827},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12453827261924744},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.10837948322296143},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1081870.1081871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4300450609","https://openalex.org/W4386931570","https://openalex.org/W2391010541","https://openalex.org/W2357367123","https://openalex.org/W4388930439","https://openalex.org/W2387276901","https://openalex.org/W2385953334","https://openalex.org/W2351303360","https://openalex.org/W3134118520","https://openalex.org/W2349223072"],"abstract_inverted_index":{"We":[0,42],"propose":[1],"a":[2,15,31,51],"notion":[3],"of":[4,34,54],"incentive":[5,29],"networks,":[6,30,55],"modeling":[7],"online":[8],"settings":[9],"in":[10,14,46],"which":[11],"multiple":[12],"participants":[13],"network":[16],"help":[17],"each":[18],"other":[19],"find":[20],"information.":[21],"Within":[22],"this":[23],"general":[24],"setting,":[25],"we":[26],"study":[27],"query":[28],"natural":[32],"abstraction":[33],"question-answering":[35],"systems":[36],"with":[37],"rewards":[38],"for":[39,61],"finding":[40],"answers.":[41],"analyze":[43],"strategic":[44],"behavior":[45],"such":[47],"networks":[48],"and":[49],"under":[50],"simple":[52],"model":[53],"show":[56],"that":[57],"the":[58],"Nash":[59],"equilibrium":[60],"participants'":[62],"strategies":[63],"exhibits":[64],"an":[65],"unexpected":[66],"threshold":[67],"phenomenon.":[68]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}