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1、AbstractAbstractIn2009,theemergenceofSinaMicro-bloggingopenedthedevelopmentpreludeofthemicroblogginginChina.Asaconvenientcommunicationtool,themicroblogginggetsInternetusers’attentionandaffectionmoreandmorewiththetimeshiftgradually.Theboomingmicrobloggingalsoactivizestheinterestofmanyschol
2、ars,thentheystudymicrobloggingdeeplyfromallaspects,sothefruitsoftheirresearchhaveprovidedtheoreticalbasisforpeopletounderstandthemicrobloggingthoroughly.However,veryfewscholarsexploresthevariationofthemicrobloggingusers’fans.Thenumberoffansisthemajorfactorsforcorporationstolaunchmarketing
3、inthemicroblogging,therefore,inordertoprovidethereferenceforcorporationstolaunchmarketinginthemicroblogging,theauthorexploresthevariationoftheusers’fansinSinaMicro-blogging.ThisthesisusednetworkModelingandnetworkevolutionMethodstostudythechangeoftheusers’fans.First,wemostlysummarizedtheex
4、tendedresearchofScholarsathomeandabroadforthescale-freenetworkmodel(BAmodel)，andreviewedtherelatedtheoriesofthecomplexnetwork.Then,weusedthetreediagramtoshowthetypesofusers,whichwasthebasisfordeterminingthedegreedistribution.AfterwardsweinputthenumberoffansinExcel,drewascatterplot,andobta
5、inedthedegreedistribution--atruncatedpower-lawdegreedistribution.Basedonthetypeofdegreedistribution,wechosetheBAmodelasthebasicmodel.Then,consideringtheinterferingfactorsoffans,weimprovedthebasicmodelwithAttractivenessMechanisms,thenbuiltupacompleteusers’fanevolutionmodel.Afterthat,wedesi
6、gnedthesimulationprocessesaccordingasmodelarithmeticanddevelopedasimulationfunctionbyMatlabtocheckupthevalidityofthenewmodel.Finally,throughcomparisonofsimulateresultswithempiricaldata,weconfirmedthevalidityofthenewmodel.Thedifferentmicroblogginggroupsareimpactedbydifferentfactorsinofchan
7、gesindifferentstages.Thenumberoffansdependsontheirownattractivenesswhentheyenterthemicrobloggingearly;whenthenewusersbecometheolduserastimegoeson,theirorigianlfansandtherateofchangeoffansinmicrobloggingwillinfluencetheincreaseoffans,thuswefurtheranalysethecorrelatio
