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1、InformationSciences180(2010)95–112ContentslistsavailableatScienceDirectInformationSciencesjournalhomepage:www.elsevier.com/locate/insTheSocialTrustframeworkfortrustedsocialinformationmanagement:Architectureandalgorithmsa,*bbJamesCaverlee,LingLiu,SteveWebbaDepartmentofComputerScience,TexasA&M
2、University,TAMU3112,CollegeStation,TX77843-3112,USAbCollegeofComputing,GeorgiaTechAtlanta,GA30332-0765,USAarticleinfoabstractArticlehistory:Socialinformationsystemsareapromisingnewparadigmforlarge-scaledistributedinfor-Received2October2008mationmanagement,asevidencedbythesuccessoflarge-scale
3、informationsharingcom-Receivedinrevisedform31March2009munities,socialmediasites,andweb-basedsocialnetworks.ButtheincreasingrelianceonAccepted24June2009thesesocialsystemsalsoplacesindividualsandtheircomputersystemsatrisk,creatingopportunitiesformaliciousparticipantstoexploitthetightsocialfabr
4、icofthesenetworks.Withtheseproblemsinmind,thismanuscriptpresentstheSocialTrustframeworkforKeywords:enablingtrustedsocialinformationmanagementinInternet-scalesocialinformationsys-Trusttems.Concretely,westudyonlinesocialnetworks,consideranumberofvulnerabilitiesSocialwebReputationinherentinonli
5、nesocialnetworks,andintroducetheSocialTrustframeworkforsupportingRelationshipqualitytamper-resilienttrustestablishment.Westudythreekeyfactorsfortrustestablishmentinonlinesocialnetworks–trustgroupfeedback,distinguishingtheuser’srelationshipqualityfromtrust,andtrackinguserbehavior–anddescribea
6、principledapproachforassessingeachcomponent.InadditiontotheSocialTrustframework,whichprovidesanetwork-wideperspectiveonthetrustofallusers,wedescribeapersonalizedextensioncalledmySocial-Trust,whichprovidesauser-centrictrustperspectivethatcanbeoptimizedforindividualuserswithinthenetwork.Finall
7、y,weexperimentallyevaluatetheSocialTrustframeworkusingrealonlinesocialnetworkingdataconsistingofmillionsofMySpacepro?lesandrelationships.Whileothertrustaggregationapproacheshavebeendevelopedandimple-mentedbyothers,wenotethatitisrareto?ndsuchalarge-
