{"id":"https://openalex.org/W2089329397","doi":"https://doi.org/10.1109/glocom.2011.6133861","title":"Robust Reputation Management Using Probabilistic Message Passing","display_name":"Robust Reputation Management Using Probabilistic Message Passing","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2089329397","doi":"https://doi.org/10.1109/glocom.2011.6133861","mag":"2089329397"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2011.6133861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2011.6133861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Global Telecommunications Conference - GLOBECOM 2011","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/A5028326739","display_name":"Erman Ayday","orcid":"https://orcid.org/0000-0003-3383-1081"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"E. Ayday","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854532","display_name":"Faramarz Fekri","orcid":"https://orcid.org/0000-0001-5008-8803"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. Fekri","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","[Georgia Institute of Technology.]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology.]","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028326739"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22506204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9998999834060669,"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":0.9998999834060669,"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/T10237","display_name":"Cryptography and Data Security","score":0.9980999827384949,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7598165273666382},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.752468466758728},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7088742852210999},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6329793930053711},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5709222555160522},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4996483325958252},{"id":"https://openalex.org/keywords/reputation-system","display_name":"Reputation system","score":0.4564194679260254},{"id":"https://openalex.org/keywords/reputation-management","display_name":"Reputation management","score":0.4248206615447998},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40587204694747925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33168014883995056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2274494171142578},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2023312747478485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598165273666382},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.752468466758728},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7088742852210999},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6329793930053711},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5709222555160522},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4996483325958252},{"id":"https://openalex.org/C2781218421","wikidata":"https://www.wikidata.org/wiki/Q2892532","display_name":"Reputation system","level":3,"score":0.4564194679260254},{"id":"https://openalex.org/C2985362895","wikidata":"https://www.wikidata.org/wiki/Q478594","display_name":"Reputation management","level":3,"score":0.4248206615447998},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40587204694747925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33168014883995056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2274494171142578},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2023312747478485},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2011.6133861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2011.6133861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Global Telecommunications Conference - GLOBECOM 2011","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":17,"referenced_works":["https://openalex.org/W40447845","https://openalex.org/W1657573145","https://openalex.org/W1994181344","https://openalex.org/W2000368422","https://openalex.org/W2049024369","https://openalex.org/W2106928513","https://openalex.org/W2138057853","https://openalex.org/W2156523427","https://openalex.org/W2158701542","https://openalex.org/W2159080219","https://openalex.org/W2337430557","https://openalex.org/W2797148637","https://openalex.org/W4240776482","https://openalex.org/W4254761308","https://openalex.org/W4301347335","https://openalex.org/W6637264838","https://openalex.org/W6676122988"],"related_works":["https://openalex.org/W2150669607","https://openalex.org/W808860418","https://openalex.org/W2952470056","https://openalex.org/W2747639011","https://openalex.org/W4288617899","https://openalex.org/W2105401455","https://openalex.org/W2922040188","https://openalex.org/W2108655233","https://openalex.org/W2059874241","https://openalex.org/W2141029059"],"abstract_inverted_index":{"In":[0,31,73,118],"a":[1,13,17,33,98,155,171],"typical":[2],"reputation":[3,38,50,87,109,148,189,210],"management":[4,39,110,211],"system,":[5,34],"after":[6],"each":[7],"transaction,":[8],"the":[9,23,26,35,48,60,64,69,77,104,108,119,123,125,147,167,185,188,192,196,222,225],"buyer":[10],"(who":[11],"receives":[12],"service":[14],"or":[15],"purchases":[16],"product)":[18],"provides":[19],"its":[20],"report/rating":[21],"about":[22],"quality":[24],"of":[25,37,45,52,63,107,122,134,174,191,201,224,231],"seller":[27],"for":[28,76,86],"that":[29,140,181],"transaction.":[30],"such":[32],"problem":[36,111],"is":[40],"to":[41,93,195],"compute":[42],"two":[43,132],"sets":[44,133],"variables:":[46],"1.":[47],"(global)":[49],"parameters":[51,62,151],"entities":[53,65],"who":[54,66],"act":[55,67],"as":[56,68,94,131],"sellers,":[57],"and":[58,127,136,149,158,207,218,238],"2.":[59],"trustworthiness":[61,150],"raters":[70],"(i.e.,":[71],"buyers).":[72],"this":[74],"paper,":[75],"first":[78],"time,":[79],"we":[80],"introduce":[81],"an":[82,113],"iterative":[83,157],"probabilistic":[84,99,159],"method":[85],"management.":[88],"The":[89],"proposed":[90,226],"scheme,":[91],"referred":[92],"RPM,":[95],"relies":[96],"on":[97,112],"message":[100,160],"passing":[101,161],"algorithm":[102,162],"in":[103,166,187,229],"graph-based":[105],"representation":[106,121],"appropriately":[114],"chosen":[115],"factor":[116,137],"graph.":[117,168],"graph":[120],"problem,":[124],"sellers":[126,193],"buyers":[128],"are":[129,141,152],"arranged":[130],"variable":[135],"nodes,":[138],"respectively,":[139],"connected":[142],"via":[143,176],"some":[144,204],"edges.":[145],"Then,":[146],"computed":[153],"by":[154],"fully":[156],"between":[163],"these":[164],"nodes":[165],"We":[169,179],"provide":[170],"detailed":[172],"evaluation":[173],"RPM":[175,182,202],"computer":[177],"simulations.":[178],"observe":[180],"iteratively":[183],"reduces":[184],"error":[186],"estimates":[190],"due":[194],"malicious":[197],"raters.":[198],"Finally,":[199],"comparison":[200],"with":[203],"well-":[205],"known":[206],"commonly":[208],"used":[209],"techniques":[212],"(e.g.,":[213,235],"Averaging":[214],"Scheme,":[215],"Bayesian":[216],"Approach":[217],"Cluster":[219],"Filtering)":[220],"indicates":[221],"superiority":[223],"scheme":[227],"both":[228],"terms":[230],"robustness":[232],"against":[233],"attacks":[234],"ballot-stuffing,":[236],"bad-mouthing)":[237],"computational":[239],"efficiency.":[240]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
