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ID:34599399
大小:7.51 MB
页数:69页
时间:2019-03-08
《微博复杂网络适应度模型的研究》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、ABSTRACJ^TTHEREARCHOFFITNESSNETWORKMODEL0NWEIB0COMPLEXNEllv、,ORKABSTRACTInrecentyears,withtherapiddevelopmentofInternettechnology,alargenumberofonlinesocialnetworkshavesprungup,suchasFackbook,Twitter,YouTubeanddomesticRenRen,SinaWeibo,etc.Weibo,asanewtypeofonlinesocialnetwork,mapsande
2、xtendsrealsocialrelationshipofpeopletoonlinenetwork.Itreflectspeople’sconnectionrelationshipinonlinenetwork.Complexnetworkresearchershavealreadyfocusedonthestructureandevolutionofonlinesocialnetwork.IthasimportanttheoreticalandpracticalsignificancetounderstandingWeibotopologystructure
3、,whichwillhelpUStounderstandtheinformationtransmissioni11thenetwork.Complexnetworktheoryhasbeenprovedtobeastrongmethodofunderstandingcomplexsystemstructureanddynamiccharacteristics.Inthispaper,wehaveresearchedonSinaWeibo.BasedonSinaWeibonetworkstructureandcharacteristics,wehavemodeled
4、therelationshipnetworkofSinaWeibousersbyclassicalcomplexnetworktheoryandmodels.SinceithassomedefectstoapplyFitnessnetworkmodeltoWeibousersrelationshipnetwork,wehaveimprovedFitnessnetwork北京化工大学硕士学位论文modelwithPricenetworkmodelandgottenP-Fitnessnetworkmodel.Furthermore,aimingatthedeficie
5、ncyinP-Fitnessnetworkmodel,wefinallyproposedSP—FitnessnetworkmodelafterimprovingP-Fitnessnetworkmodel。Atthesametime,throughtheresearchofrealWeibousersonthedistributionsoffans,UserPR(PageRank)valuesandactivities,wehaveanalyzedWeibousersinfluence,topinfluenceusersandthecharacteristicsof
6、theirweibos.Wehaveproposednode—fitnessalgorithmforSP—FitnessnetworkmodelbytakingthethreefactorsofuseFsinfluence,includingfans,UserPRandactivitiesintoconsideration.SP.FitnessnetworkmodelreflectsthegrowthmechanismandpreferentialconnectioncharacteristicsofrealWeibousersrelationshipnetwor
7、k.Italsoreflectsthatuserswithhigherfitness(suchascelebrities)maygetmoreconnectionsthanoldernormalusersandbecomehubnodeseventheyjointhenetworklater.SP—FitnessmodelcanbeappliedtoWeibousersrelationshipnetworkanditwillprovidethestructurefoundationforfurtherresearchingoninformationdissemin
8、ation
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