基于社會(huì)網(wǎng)絡(luò)的信用模型研究及應(yīng)用.pdf

1、浙江大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院碩士學(xué)位論文基于社會(huì)網(wǎng)絡(luò)的信用模型研究及應(yīng)用姓名：劉馳申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：陳德人鄭小林20100301浙江大學(xué)碩士學(xué)位論文AbstraetAbstractTrustproblemsofcommoditiesandtradingpartnersgainmoreconcernincaserapiddevelopmentofecommerceWesummarizethetrustandr

2、eputationmodelresearches；implementindepthanalysisoftheapplicationofcreditmodelonthewebThen，asocialnetworkbased，attackresistantreputationandtrustmodelisproposedinthispaperReputationmodelisfirstlyestablishedbasedondealersc

3、ores，thentrustismodeledusingtransitivityalgorithminasocialnetworkwhichisconstructedbydealingrelationshipsCorrectionparameterisintroducedtoobtainsubjectivereputationvalueandobjectivetrustvalue，whichwillhelpdealersmaketran

4、sactiondecisionsThemodelusestwodimensionalclusterfilteringtogetridofcheatingdataThesimulatedexperimentsshowthatthemodelCanproperlydescribethetrustrelationshipsbetweendealers，andperformswellinresistingattackbehaviorssucha

5、scheatingfeedbackandshillingattackTherearedifficultiestoapplythemodelincommercialnetworksduetosomeproblemssuchasdivisionoflaborsparsenetworkandclusteringAnimprovedmodelisproposedinthispaperwiththeintroductionofsimilarity

6、computationThismodeldiscoverstherelationshipsbetweenclusters，andappliestransmissionoftrustinthenetworks；finallypredicttrustvaluebetweentwodealersThroughtheexperimentalanalysis、析tllTAOBAOtransactiondatawefoundouralgorismh

7、asaverygoodimprovementandcomplementtotheexistingreputationsystemofTAOBAO，andourmodelwillsimulatetheinterpersonalrelationshipsoftrustandrecommendationinreal】jfeKeywords：socialnetworkcommercialnetwork，trust，reputation，cred