新浪微博影响力分析论文汇报

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1、UserInfluenceAnalysisonMicroBlogCentralChinaNormalUniversityYongZhang,JiaqinMo,TingtingHe2012.11.01OutlineBackgroundRelatedWorkBasicAnalysisMethodExperimentConclusionBackgroundSinaWeibooneofthemostnotableandwidelyusedmicro-bloggingservicesInfluencethepote

2、ntialofanactionofausertoinitiateafurtheractionbyanotheruserInfluenceUsersmaketrendsorinnovationsbeadoptedfaster,helpdecisionmarkersdevelopmoreeffectivestrategiesSignificanceonemayachievealarge-scalechain-reactionofinfluencedrivenbyword-of-mouthwithaverysm

3、allmarketingcostBasicAnalysisFollowernumberdistributionNumberoffollowers.averagefollowernumber:3384270.7%oftheusersareabovetheaverageBasicAnalysisRelationbetweenWeibonumberandfollowernumberWeibonumberandfollowernumber.notapositivecorrelationfollowernumber

4、isnotthekeyfactorforuserstopostWeiboBasicAnalysisUserinteractionanalyzingFigure.3Mentionnumberandretweetnumber.halfoftheWeiboscontainactionmanyuserstendtointeractwithotherswhentheypostWeibo,interactionisaveryimportantactiononSinaWeiboRelatedworkMethodstoi

5、dentifyuserinfluenceonmicrobloggingIn-degreeRatiobetweenin-degreeandout-degreePageRankXinRankAction-basednetworkmodelMethodThreeimportantactionsonmicroblogFollowFollowNetworkMatrixFRetweetRetweetNetworkMatrixRCommentCommentNetworkMatrixCMethodMatrixFMatri

6、xRMatrixCMethodCombinationmatrixMExample：AAABBB52followretweetcommentα=1,β=0.05,γ=0.05F(A,B)=1R(A,B)=2C(A,B)=5W(A,B)=1*1+2*0.05+5*0.05=1.35MethodRankAlgorithmsPageRankWeightedPageRankHITS(Hyperlink-InducedTopicSearch)ExperimentDataset(analysis)467823follo

7、wlinks67832followees400000followers389092usersExperiment1142users129088retweetlinks225213commentlinks.ResultResultResultResultConclusionsIntroducedthreebasic“interpersonal”actions:follow,retweetandcommentaction.ProposeamodelandapplyittoWeightedPageRankand

8、HITSalgorithms.ComprehensiveandstablemethodThat’sAll!Thankyou!