{"id":"https://openalex.org/W1984306083","doi":"https://doi.org/10.1145/2489790","title":"Bayesian Inference in Trust Networks","display_name":"Bayesian Inference in Trust Networks","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1984306083","doi":"https://doi.org/10.1145/2489790","mag":"1984306083"},"language":"en","primary_location":{"id":"doi:10.1145/2489790","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2489790","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"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 Management Information Systems","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/A5046769089","display_name":"Levent V. Orman","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Levent V. Orman","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046769089"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":8.7766,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97100913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"4","issue":"2","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9958999752998352,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.7432304620742798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706555962562561},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5776216983795166},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5771071910858154},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5410032272338867},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5317944884300232},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5243171453475952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3855043351650238},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3469100594520569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3353312909603119},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3350374102592468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18832457065582275}],"concepts":[{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.7432304620742798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706555962562561},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5776216983795166},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5771071910858154},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5410032272338867},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5317944884300232},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5243171453475952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3855043351650238},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3469100594520569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3353312909603119},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3350374102592468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18832457065582275},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2489790","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2489790","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"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 Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.49000000953674316,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W28375330","https://openalex.org/W379337736","https://openalex.org/W934261879","https://openalex.org/W1553725291","https://openalex.org/W1560267311","https://openalex.org/W1560440894","https://openalex.org/W1599142175","https://openalex.org/W1604446916","https://openalex.org/W1620360973","https://openalex.org/W1629805839","https://openalex.org/W1980202081","https://openalex.org/W1985109665","https://openalex.org/W2017992786","https://openalex.org/W2020066026","https://openalex.org/W2045049260","https://openalex.org/W2097726984","https://openalex.org/W2101015482","https://openalex.org/W2110078189","https://openalex.org/W2130234299","https://openalex.org/W2138621811","https://openalex.org/W2140020370","https://openalex.org/W2144780381","https://openalex.org/W2145079297","https://openalex.org/W2159080219","https://openalex.org/W2160755014","https://openalex.org/W2164361866","https://openalex.org/W2169757306","https://openalex.org/W2171651124","https://openalex.org/W2232943036","https://openalex.org/W2477314015","https://openalex.org/W3124686198","https://openalex.org/W3142588439","https://openalex.org/W4250143236"],"related_works":["https://openalex.org/W2379908271","https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W4303857162","https://openalex.org/W2965643117","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116"],"abstract_inverted_index":{"Trust":[0],"has":[1],"emerged":[2],"as":[3,118,181],"a":[4,108,119,123,158,182,236],"major":[5,183],"impediment":[6],"to":[7,52,60,65,129,145,194,210,224],"the":[8,18,21,54,70,74,79,112,131,138,150,168,201,211,229,232],"success":[9],"of":[10,111,137,203,235],"electronic":[11],"markets":[12],"and":[13,25,33,39,87,100,122,155,206,228],"communities":[14],"where":[15,114],"interaction":[16,29],"with":[17,30,207],"strangers":[19],"is":[20,50,64,116,127,172,178,222],"norm.":[22],"Social":[23],"Networks":[24],"Online":[26],"Communities":[27],"enable":[28],"complete":[31],"strangers,":[32],"open":[34],"up":[35],"new":[36,71,187],"commercial,":[37],"political,":[38],"social":[40],"possibilities.":[41],"But":[42],"those":[43],"promises":[44],"are":[45,82,98,152],"rarely":[46],"achieved":[47],"because":[48,95],"it":[49],"difficult":[51],"trust":[53,67,76,96,115,133,140,176,188],"online":[55],"contacts.":[56],"A":[57],"common":[58],"approach":[59],"remedy":[61],"this":[62],"problem":[63],"compute":[66,130],"values":[68,77,134],"for":[69],"contacts":[72],"from":[73,219],"existing":[75,198],"in":[78,135,164,175,185,200,213],"network.":[80],"There":[81],"two":[83],"main":[84],"methods:":[85],"aggregation":[86],"transitivity.":[88],"Yet,":[89],"neither":[90],"method":[91],"provides":[92],"satisfactory":[93],"results":[94,230],"networks":[97],"sparse":[99],"transitivity":[101],"may":[102],"not":[103],"hold.":[104],"This":[105],"article":[106],"develops":[107],"Bayesian":[109,124,165,239],"formulation":[110],"problem,":[113],"defined":[117],"conditional":[120,147],"probability,":[121],"Network":[125],"analysis":[126],"employed":[128],"unknown":[132],"terms":[136],"known":[139],"values.":[141,189],"The":[142],"algorithms":[143],"used":[144,223],"propagate":[146],"probabilities":[148],"through":[149],"network":[151,221],"theoretically":[153,237],"sound":[154,238],"based":[156],"on":[157,161],"long-standing":[159],"literature":[160,177],"probability":[162],"propagation":[163],"networks.":[166],"Moreover,":[167],"context":[169],"information":[170],"that":[171],"typically":[173],"ignored":[174],"included":[179],"here":[180],"factor":[184],"computing":[186],"These":[190],"changes":[191],"have":[192],"led":[193],"significant":[195],"improvements":[196],"over":[197],"approaches":[199],"accuracy":[202],"computed":[204],"trust,":[205],"some":[208],"modifications":[209],"algorithm,":[212],"its":[214],"reach.":[215],"Real":[216],"data":[217],"acquired":[218],"Advogato":[220],"do":[225],"extensive":[226],"testing,":[227],"confirm":[231],"practical":[233],"value":[234],"approach.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}