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1、MaximizingtheSpreadofInfluencethroughaSocialNetworkyzDavidKempeJonKleinbergEv´aTardosDept.ofComputerScienceDept.ofComputerScienceDept.ofComputerScienceCornellUniversity,IthacaNYCornellUniversity,IthacaNYCornellUniversity,IthacaNYkempe@cs.cornell.edukleinber@cs.cornell.edueva@cs.cor
2、nell.eduABSTRACTKeywordsModelsfortheprocessesbywhichideasandinfluencepropagateapproximationalgorithms,socialnetworks,viralmarketing,throughasocialnetworkhavebeenstudiedinanumberofdo-diffusionofinnovationsmains,includingthediffusionofmedicalandtechnologicalinnova-tions,thesuddenandwi
3、despreadadoptionofvariousstrategiesin1.INTRODUCTIONgame-theoreticsettings,andtheeffectsof“wordofmouth”intheAsocialnetwork—thegraphofrelationshipsandinteractionspromotionofnewproducts.Recently,motivatedbythedesignofwithinagroupofindividuals—playsafundamentalroleasaviralmarketingstra
4、tegies,DomingosandRichardsonposedafun-mediumforthespreadofinformation,ideas,andinfluenceamongdamentalalgorithmicproblemforsuchsocialnetworkprocesses:itsmembers.Anideaorinnovationwillappear—forexample,theifwecantrytoconvinceasubsetofindividualstoadoptanewuseofcellphonesamongcollegest
5、udents,theadoptionofanewproductorinnovation,andthegoalistotriggeralargecascadeofdrugwithinthemedicalprofession,ortheriseofapoliticalmove-furtheradoptions,whichsetofindividualsshouldwetarget?mentinanunstablesociety—anditcaneitherdieoutquicklyWeconsiderthisprobleminseveralofthemostwi
6、delystudiedormakesignificantinroadsintothepopulation.Ifwewanttoun-modelsinsocialnetworkanalysis.Theoptimizationproblemofderstandtheextenttowhichsuchideasareadopted,itcanbeim-selectingthemostinfluentialnodesisNP-hardhere,andwepro-portanttounderstandhowthedynamicsofadoptionarelikelytov
7、idethefirstprovableapproximationguaranteesforefficientalgo-unfoldwithintheunderlyingsocialnetwork:theextenttowhichrithms.Usingananalysisframeworkbasedonsubmodularfunc-peoplearelikelytobeaffectedbydecisionsoftheirfriendsandtions,weshowthatanaturalgreedystrategyobtainsasolutionthatcoll
8、eagues,ortheextenttowhich“