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1、华中科技大学硕士学位论文AbstractInrecentyears,variouskindsofonlinesocialnetworksdevelopedrapidly.Microblog,asanewkindofonlinesocialnetwork,hasattractmillionsofpeopleallovertheworld.Thepopularityofmicroblognotonlychangespeople’slifestyle,changesthewayofthemassmediac
2、ommunication,bringinnewe-marketingpattern,butalsodrawsacademia’sattentiononmicroblog.Microbloghashugeamountofusers,anddifferentusershavedifferentstatusinmicroblognetwork.Meanwhile,therearelargeamountofinformationspreadingrapidlyonmicroblognetwork,whichc
3、ausestheinformationoverloadingphenomenon.Hence,recommendingmicroblogusersbyevaluatingtheirinfluenceinmicroblognetworkcaneffectivelyreducetheinformationoverloadinginmicroblognetwork,andalsostronglysupporttheresearchononlinesocialnetworkinformationdiffusi
4、onanddisseminationmodel.Intheserespects,avotingmodelbasedmicroblogusers’influenceevaluationalgorithmWeiRankisdesignedandimplemented.Fromtheviewofmicroblognetworktopologywhichconsistsofusers’followingrelationship,WeiRankalgorithmadoptsmultipleiterationan
5、dweightedvotingtoevaluatetheinfluencescoreofmicroblogusers.ThedataforthisresearchcomesfromSinaWeibo,thepopularmicroblogsysteminChina.Accordingtothestatisticsofuser’sfollowersnumber,followingsnumberaswellasthereciprocalrate,differentkindsofusershavediffe
6、rentinfluenceinthenetworkandthereisacoreinWeibonetwork,whichconsistsofuserswithstronginfluence.ThiscoreattractsthemajoritypartofWeibousers.BasedonthecharacteristicsofWeibousers’influence,therearetwoWeibousers’influenceevaluationmetrics:oneisthecoverageo
7、fuser’sinfluence,theotherisinfluenceoftheinfluenceduser.AfterunderstandingthecharacteristicsofWeibousers’influence,avotingmodelbasedmicroblogusers’influenceevaluationalgorithmWeiRankisdesignedandimplemented.WeiRankconsideringtwofactors:thecoverageofuser
8、’sinfluenceandinfluenceoftheinfluenceduser,assignstwoattributestomicroblogusers:theabilitytoinfluenceotherusersandabilitytoidentifyothers.TheconceptofWeiRankisuser’sinfluencescoreequalstothesumofallhisfollowers’identifyscores,and