A Survey of Prediction Using Social Media

A Survey of Prediction Using Social Media

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时间:2019-06-25

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1、ASurveyofPredictionUsingSocialMediaShengYuandSubhashKakDepartmentofComputerScience,OklahomaStateUniversityStillwater,Oklahoma,U.S.A.74078{yshe,subhashk}@cs.okstate.eduAbstract:Socialmediacomprisesinteractiveapplicationsandplatformsforcreating,sharingandexchangeofuser-ge

2、neratedcontents.Thepasttenyearshavebroughthugegrowthinsocialmedia,especiallyonlinesocialnetworkingservices,anditischangingourwaystoorganizeandcommunicate.Itaggregatesopinionsandfeelingsofdiversegroupsofpeopleatlowcost.Miningtheattributesandcontentsofsocialmediagivesusan

3、opportunitytodiscoversocialstructurecharacteristics,analyzeactionpatternsqualitativelyandquantitatively,andsometimestheabilitytopredictfuturehumanrelatedevents.Inthispaper,wefirstlydiscusstherealmswhichcanbepredictedwithcurrentsocialmedia,thenoverviewavailablepredictors

4、andtechniquesofprediction,andfinallydiscusschallengesandpossiblefuturedirections.Keywords:socialmedia,socialnetwork,socialnetworkingservice,user-generatedcontents,prediction1.IntroductionSocialmediaareplatformsthatallowcommonpersonstocreateandpublishcontents.Twoworldwid

5、epopularsocialmediawebsites,TwitterandFacebook,demonstrateitsexplosivegrowthandprofoundinfluence.BothTwitterandFacebookareinthetop10most-visitedwebsitesintheworldaccordingtoAlexaranking[1].Facebookhasmorethan800millionactiveusers[2],andbyMarch2011,onTwitter,therewereabo

6、ut140millioninformationpiecescreatedandtransferreddaily[3].Thereisotherspecializedsocialmediathatarefocusedonentertainment,sports,financeandpolitics.Sincetherearemanyuserssharingtheiropinionsandexperiencesviasocialmedia,thereisaggregationofpersonalwisdomanddifferentview

7、points.Suchaggregationhaslimitationsasviewpointsaresubjecttochangewithtime.Inasensethesocialmediapredictionproblemisparalleledbypredictionoffinancialtimeseriesbasedonpasthistory,whichhasitsusesintrading.Ingeneral,ifextractedandanalyzedproperly,thedataonsocialmediacanlea

8、dtousefulpredictionsofcertainhumanrelatedevents.Suchpredictionhasgreatbenefitsinmanyrealms,suchasfinance,produ

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