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1、华中科技大学硕士学位论文AbstractInrecentyears,variouskindsofonlinesocialnetworksdevelopedrapidly.Microblog,asanewkindofonlinesocialnetwork,hasattractmillionsofpeopleallovertheworld.Thepopularityofmicroblognotonlychangespeople’slifestyle,changesthewayofthemassmediacommunication,bringinnewe-marketingp
2、attern,butalsodrawsacademia’sattentiononmicroblog.Microbloghashugeamountofusers,anddifferentusershavedifferentstatusinmicroblognetwork.Meanwhile,therearelargeamountofinformationspreadingrapidlyonmicroblognetwork,whichcausestheinformationoverloadingphenomenon.Hence,recommendingmicroblogus
3、ersbyevaluatingtheirinfluenceinmicroblognetworkcaneffectivelyreducetheinformationoverloadinginmicroblognetwork,andalsostronglysupporttheresearchononlinesocialnetworkinformationdiffusionanddisseminationmodel.Intheserespects,avotingmodelbasedmicroblogusers’influenceevaluationalgorithmWeiRa
4、nkisdesignedandimplemented.Fromtheviewofmicroblognetworktopologywhichconsistsofusers’followingrelationship,WeiRankalgorithmadoptsmultipleiterationandweightedvotingtoevaluatetheinfluencescoreofmicroblogusers.ThedataforthisresearchcomesfromSinaWeibo,thepopularmicroblogsysteminChina.Accordi
5、ngtothestatisticsofuser’sfollowersnumber,followingsnumberaswellasthereciprocalrate,differentkindsofusershavedifferentinfluenceinthenetworkandthereisacoreinWeibonetwork,whichconsistsofuserswithstronginfluence.ThiscoreattractsthemajoritypartofWeibousers.BasedonthecharacteristicsofWeibouser
6、s’influence,therearetwoWeibousers’influenceevaluationmetrics:oneisthecoverageofuser’sinfluence,theotherisinfluenceoftheinfluenceduser.AfterunderstandingthecharacteristicsofWeibousers’influence,avotingmodelbasedmicroblogusers’influenceevaluationalgorithmWeiRankisdesignedandimplemented.Wei
7、Rankconsideringtwofactors:thecoverageofuser’sinfluenceandinfluenceoftheinfluenceduser,assignstwoattributestomicroblogusers:theabilitytoinfluenceotherusersandabilitytoidentifyothers.TheconceptofWeiRankisuser’sinfluencescoreequalstothesumofallhisfollowers’identifyscores,and
