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1、2013IEEEInternationalConferenceonBigDataANovelVisualanalyticsApproachforClusteringLarge-ScaleSocialDataZhangyeWangJuanxiaZhouWeiChenStateKeyLabofCAD&CGStateKeyLabofCAD&CGStateKeyLabofCAD&CGZhejiangUniversityZhejiangUniversityZhejiangUniversityHangzhou,ChinaHangzhou,ChinaHangzhou,Chinazywan
2、g@cad.zju.edu.cnxjzhou@zjucadcg.zju.edu.cnchenwei@cad.zju.edu.cnChangChenJiyuanLiaoRossMaciejewskiCollegeofSoftwareEngineeringStateKeyLabofCAD&CGSchoolofCIDSEUniversityofScienceandTechnologyofChinaZhejiangUniversityArizonaStateUniversityHefei,ChinaHangzhou,ChinaUSAlawangel@163.comjyliao@zj
3、ucadcg.zju.edu.cnrmacieje@asu.eduAbstract—Socialdatareferstodataindividualscreatethatistypeofdataasusertagdata.knowinglyandvoluntarilysharedbythemandisanexcitingGiventheubiquityofsuchdata,methodsforexploringavenueintogaininginsightintointerpersonalbehaviorsandandanalyzingsocialdatalinkshav
4、ebecomeacriticalinteraction.However,suchdataislarge,heterogeneousandresearchtopic.Byanalyzingusertagsanduserbehavioroftenincomplete,propertiesthatmaketheanalysisofsuchdataextremelychallenging.Onecommonmethodofexploringdata,itisexpectedthatinsightsintosocietalpatternscansuchdataisthroughclu
5、steranalysis,whichcanenableanalystsbegleanedandusedtoinformgovernmentalpolicyandto?ndgroupsofrelatedusers,behaviorsandinteractions.Thisbusinessdecisionsaswellasin?uencehumanbehavior[2].paperpresentsanovelvisualanalysisapproachfordetectingForexample,previouswork[3]exploresclusteringusersclu
6、sterswithinlarge-scalesocialnetworksbyutilizingadivide-intogroupstodeveloptargetedmarketstrategybasedonanalyze-recombineschemethatsequentiallyperformsdatapartitioning,subsetclusteringandresultrecombinationwithindemographicsandbehavioralpatterns.However,ourabil-anintegratedvisualinterface.A
7、casestudyonamicroblogitytoextractknowledgefromtheselargeheterogeneousmessagingdata(with4.8millionsusers)isusedtodemonstratedatasourcesisstilllimitedduetothelatent,subtleandthefeasibilityofthisapproachandcomparisonsarealsounpredictablerelationshipsthatmaybehidd
