{"id":"https://openalex.org/W2238798918","doi":"https://doi.org/10.1145/3084358","title":"Fast Convergence in the Double Oral Auction","display_name":"Fast Convergence in the Double Oral Auction","publication_year":2017,"publication_date":"2017-11-30","ids":{"openalex":"https://openalex.org/W2238798918","doi":"https://doi.org/10.1145/3084358","mag":"2238798918"},"language":"en","primary_location":{"id":"doi:10.1145/3084358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3084358","pdf_url":null,"source":{"id":"https://openalex.org/S4210173995","display_name":"ACM Transactions on Economics and Computation","issn_l":"2167-8375","issn":["2167-8375","2167-8383"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Economics and Computation","raw_type":"journal-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/A5060978295","display_name":"Sepehr Assadi","orcid":"https://orcid.org/0009-0006-8914-5995"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sepehr Assadi","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039619350","display_name":"Sanjeev Khanna","orcid":"https://orcid.org/0009-0000-2601-1689"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev Khanna","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421839","display_name":"Yang Li","orcid":"https://orcid.org/0009-0003-4011-2816"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010335625","display_name":"Rakesh Vohra","orcid":"https://orcid.org/0000-0003-1049-0827"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh Vohra","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060978295"],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.00339955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"5","issue":"4","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9998999834060669,"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/T11182","display_name":"Auction Theory and Applications","score":0.9998999834060669,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9998000264167786,"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6583554744720459},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6284443736076355},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.6242467761039734},{"id":"https://openalex.org/keywords/walrasian-auction","display_name":"Walrasian auction","score":0.6079729795455933},{"id":"https://openalex.org/keywords/double-auction","display_name":"Double auction","score":0.585299551486969},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5187568664550781},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4989793300628662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4842971861362457},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4565344750881195},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45296621322631836},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4311586916446686},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3835035264492035},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3481487035751343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27635687589645386},{"id":"https://openalex.org/keywords/auction-theory","display_name":"Auction theory","score":0.22022074460983276},{"id":"https://openalex.org/keywords/vickrey-auction","display_name":"Vickrey auction","score":0.19199758768081665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1673758625984192},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.1559930145740509},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10799163579940796}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6583554744720459},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6284443736076355},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.6242467761039734},{"id":"https://openalex.org/C129650952","wikidata":"https://www.wikidata.org/wiki/Q1423059","display_name":"Walrasian auction","level":5,"score":0.6079729795455933},{"id":"https://openalex.org/C2539976","wikidata":"https://www.wikidata.org/wiki/Q12163285","display_name":"Double auction","level":3,"score":0.585299551486969},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5187568664550781},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4989793300628662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4842971861362457},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4565344750881195},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45296621322631836},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4311586916446686},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3835035264492035},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3481487035751343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27635687589645386},{"id":"https://openalex.org/C11276805","wikidata":"https://www.wikidata.org/wiki/Q771334","display_name":"Auction theory","level":3,"score":0.22022074460983276},{"id":"https://openalex.org/C83426474","wikidata":"https://www.wikidata.org/wiki/Q243758","display_name":"Vickrey auction","level":4,"score":0.19199758768081665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1673758625984192},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.1559930145740509},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10799163579940796},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3084358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3084358","pdf_url":null,"source":{"id":"https://openalex.org/S4210173995","display_name":"ACM Transactions on Economics and Computation","issn_l":"2167-8375","issn":["2167-8375","2167-8383"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Economics and Computation","raw_type":"journal-article"},{"id":"pmh:oai:alma.01RUT_INST:11663562850004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/journalArticle/Fast-Convergence-in-the-Double-Oral/991031654667004646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.44999998807907104,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G477004175","display_name":null,"funder_award_id":"CCF-1116961, CCF-1552909, CCF-1617851, IIS-1447470","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W52870044","https://openalex.org/W1596004808","https://openalex.org/W1717788890","https://openalex.org/W1991892223","https://openalex.org/W2002430844","https://openalex.org/W2021604214","https://openalex.org/W2022817538","https://openalex.org/W2024552920","https://openalex.org/W2028337914","https://openalex.org/W2044973895","https://openalex.org/W2053616907","https://openalex.org/W2068115726","https://openalex.org/W2070564800","https://openalex.org/W2094208470","https://openalex.org/W2100761249","https://openalex.org/W2105963964","https://openalex.org/W2126329988","https://openalex.org/W2153644013","https://openalex.org/W2405686381","https://openalex.org/W2950318361","https://openalex.org/W4230965787","https://openalex.org/W4246756863"],"related_works":["https://openalex.org/W2567825307","https://openalex.org/W1592682627","https://openalex.org/W4295762832","https://openalex.org/W2945016732","https://openalex.org/W2785998768","https://openalex.org/W2371352078","https://openalex.org/W2362975861","https://openalex.org/W2804963084","https://openalex.org/W3121501642","https://openalex.org/W3126136151"],"abstract_inverted_index":{"A":[0],"classical":[1],"trading":[2],"experiment":[3,82],"consists":[4],"of":[5,8,92,101,114,133,155,188],"a":[6,40,86,96,107,111,118,134,143,160,163],"set":[7],"unit":[9,13],"demand":[10],"buyers":[11,48],"and":[12,32,49,65,210],"supply":[14],"sellers":[15,50],"with":[16,240],"identical":[17],"items.":[18],"Each":[19],"agent\u2019s":[20],"value":[21],"or":[22,54,78],"opportunity":[23],"cost":[24],"for":[25,121,137,199,220],"the":[26,81,99,102,122,195,218,221,229],"item":[27],"is":[28,95,128,170,183,191,236],"his":[29],"private":[30,174],"information,":[31],"preferences":[33],"are":[34,67,73],"quasilinear.":[35],"Trade":[36],"between":[37],"agents":[38,156],"employs":[39],"double":[41],"oral":[42],"auction":[43,197],"(DOA)":[44],"in":[45,85,98,110,159,192],"which":[46],"both":[47],"call":[51],"out":[52],"bids":[53,64,77],"offers":[55,66,209],"that":[56,104,131,169,179,202,216],"an":[57,214],"auctioneer":[58],"recognizes.":[59],"Transactions":[60],"resulting":[61],"from":[62],"accepted":[63],"recorded.":[68],"This":[69,190],"continues":[70],"until":[71],"there":[72],"no":[74],"more":[75],"acceptable":[76],"offers.":[79,224],"Remarkably,":[80],"consistently":[83],"terminates":[84],"Walrasian":[87,108,135,181],"price.":[88],"The":[89,149],"main":[90],"result":[91],"this":[93,138,200],"article":[94],"mechanism":[97],"spirit":[100],"DOA":[103],"converges":[105],"to":[106,141,194,207,228,238],"equilibrium":[109,136,182,215],"polynomial":[112],"number":[113],"steps,":[115],"thus":[116,157,211],"providing":[117],"theoretical":[119],"basis":[120],"empirical":[123],"phenomenon":[124],"described":[125],"previously.":[126],"It":[127],"well":[129],"known":[130],"computation":[132],"market":[139],"corresponds":[140],"solving":[142],"maximum":[144,164],"weight":[145,165],"bipartite":[146,166],"matching":[147,167],"problem.":[148],"uncoordinated":[150],"but":[151],"mildly":[152],"rational":[153],"responses":[154],"solve":[158],"distributed":[161],"fashion":[162],"problem":[168,201],"encoded":[171],"by":[172,185],"their":[173],"valuations.":[175],"We":[176],"show,":[177],"furthermore,":[178],"every":[180,233],"reachable":[184],"some":[186],"sequence":[187],"responses.":[189],"contrast":[193],"well-known":[196],"algorithms":[198],"only":[203],"allow":[204],"one":[205],"side":[206,222],"make":[208],"essentially":[212],"choose":[213],"maximizes":[217],"surplus":[219],"making":[223],"Our":[225],"results":[226],"extend":[227],"setting":[230],"where":[231],"not":[232],"agent":[234],"pair":[235],"allowed":[237],"trade":[239],"each":[241],"other.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
