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1、Micro-blogsocialnetworkanalysis“digu”networkasanexample12121CheLi-mei,WEIYun-gang,SUNBo,QiuQian,ZhanNai-xin1.SchoolofInformationScienceandTechnology,BeijingNormalUniversity,Beijing100875,China2.SchoolofEducationTechnology,BeijingNormalUniversity,Beijing,10087
2、5,ChinaAbstract—SinceWattsandStrogatzfirstproposedtheSmall-directedgraph.However,inmicro-blogsystem,theusercanworldmodelin1998,Large-scalenetworkstructuresandknowallhisfollowers,soifignoringtherelationshipbetweenpropertieshavebecomearesearchhotspot.Micro-blog
3、slikepassiveandactive,youcanalsodealwithitasanundirectedTwitter,Taotao,Diguareverypopularlarge-scalegraph.[1]communicationsocialnetworksnowadays.Thispapertakes"Digu"networkasanexample,presentsastudyandanalysisofIII.ANALYSISOFMICRO-BLOGNETWORKPROPERTIESthestru
4、cturesandattributesofmicro-blogsocialnetworks.Ourresultsconfirmthepower-law,small-worldpropertiesofonlinesocialnetworks.Inaddition,weobservethatasmallpeakA.DataAcquisitionappearedat22out-degrees,whichindicatesthatpeopleusuallyCurrentlythemicro-blogisverypopul
5、ar,bringingtogetherkeepupwithabout22friends.Atthesametime,wefindthatalargenumberofusers.Herewetake“digu”thereare"Starnodes"inmicro-blognetworkwhosharelessbut(http://www.digu.com)asanexample,andstudyitsdataduringgettingconcernedalot.Finallywediscussthe"Stareff
6、ect"August2009.causedbystarnodes.Keywords-Socialnetwork;small-word;power-lawdistribution;starnode.TABLEI.PARTDATAOFDIGUMICRO-BLOGDURINGAUGUST2009I.BACKGROUNDAttributeValueAttributevalueNodesnumberAverageofin6.3Micro-bloggingisaformofblogging.Itdiffersfroma108
7、,684andoutdegreestraditionalbloginthatitscontentistypicallymuchsmaller,inThenumberofnodesAverageof3.3bothactualsizeandaggregatefilesize(usuallyin200words).whohavecomplete36,393routelengthAmicro-blogentrycouldconsistofashortsentencerelationsfragments,oranimage
8、orembeddedvideo.CommercialEdgesnumber687,921Clustering0.7micro-blogsalsoexist,topromotewebsites,servicesand/orcoefficientproducts.Somemicro-bloggingservicesofferfeaturessuchasNetworkdensi
