基于信任度排序的社交网络异常账户检测模型的分析-(5656)

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1、上海交通大学硕士学位论文Settheorytoremovetheuselesscharacteristicandbringinasimplesimilarityevaluationalgorithm.2)PuttingforwardtheAccountRankalgorithmtoamendtheevaluationoutcomeandgetmoreaccurateresult.Itisthephenomenonintheonlinesocialnetworkthatthemoreattentionanaccountattracts,t

2、hemorebelievabletheaccountisandthemorebelievableaccountanaccountcontactwith,themorebelievabletheaccountis.RefertothefamousPageRankalgorithm,weproposedasimilaralgorithm,namedAccoutnRank,totakeaccountoftheinformationhiddenintherelationshipandinterbehaviorbetweenaccounts.3)

3、Collectingalargeamountofdatafromweibo.comforexperiments.Experimentalresultshowthatthecalculatedtrustvaluefromourevaluationmodelcanbeusedtosorttheaccount,whichprovidesapowerfulbasisforusertomakedecision.Theabnormalaccountcanbedetectedbysettingareasonablethreshold.KEYWORDS

4、:onlinesocialnetwork,accountdetection,trustvalue,roughset,rankIV万方数据上海交通大学硕士学位论文目录第一章绪论·······················································································11.1引言·························································································11

5、.2社交网络与虚假信息概述······························································21.2.1社交网络发展演化··································································21.2.2社交网络虚假信息··································································41.2.3网络水军与异常账户·····················

6、··········································51.3研究现状介绍·············································································51.4论文主要工作·············································································71.5论文结构与安排············································

7、······························8第二章社交网络异常账户检测的相关理论················································92.1信任网络理论与应用····································································92.1.1信任网络介绍········································································92.1.2信任管

8、理与声誉计算······························································102.1.3信任的应用·······················