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1、西安建筑科技大学硕士学位论文Microbloggingusers’influenceresearchbasedonimprovedPageRankAlgorithmSpecialty:ComputerSoftwareandTheoryName:YangKeInstructor:Prof.DongLiliAbstractMicrobloggingshowstheexplosivedevelopmentinrecentyears,hasbecomeanimportantwayforpeopletousetheInternettoc
2、ommunicate.UsersarethecoreofMicrobloggingnetwork,throughthestudyofuser'scharacteristicsandtheireffectoninformationdissemination,onlyasmallamountofcoreusersplayedaguidingroleinthedisseminationofinformation.WhilecurrentresearchfortheinfluencerankingoftheMicrobloggingn
3、etworkusersjustgivesuserstheorderoftheusersinfluenceranking,wecannotjudgetheproblemthatwhichusersplayedtheguidingroleinthemicrobloggingnetworkdisseminationofinformation.Throughtheanalysisandresearchonthewayofmicrobloggingnetworkdisseminationofinformationandthemicrob
4、loggingnetworkmodel,thispaperproposedanewmicrobloggingusersnetwork’sguidinggrouprecognitionalgorithm,whichprovidepublicopinionmonitoringandtrackinthemicrobloggingnetworkforusefulreference.Specifically,themainworksofthispaperincludethefollowingaspects:1.Throughtheana
5、lysisandresearchonthewayofmicrobloggingnetworkdisseminationofinformation,thispaperbuildsupamicroblogginginformationtransmissionnetworkmodel.Thenthroughresearchonthezombiefansandtheexampleofmicrobloggingnetworkmodel,putforwardtheconceptthatismicrobloggingnetworkleadi
6、nggroup,atthesametimeconfirmedthetremendousimpactonitseffectinthemicrobloggingnetworkdisseminationofinformation.2.Aimingattheproblems,whichincludesthattraditionalPageRankalgorithmcannotavoidedtheartificialisdifficulttodeterminethenumberofiterations,Through万方数据西安建筑科技
7、大学硕士学位论文theresearchandanalysisonthesortingalgorithmofmicrobloggingusersinfluencebasedontraditionalPageRankalgorithm,thispaperproposedthatusingpersonalizedPageRankalgorithmtocomputeuser'sinfluence,toreducethecomputingtimeandapacecomplexity.3.Throughtheanalysisofexist
8、microblogginguserinfluenceresearch,aimingattheproblemthatcurrentuserinfluencerankingalgorithmcannotdeterminethemicrobloggingleadinggroup,t
