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1、ComputerEngineeringandApplications计算机工程与应用2017,53(15)85大数据环境下精准客户定位的社交网络分析ၹ1,221,31曾小青,张若欣,欧阳文光,王琪ऄ1,221,31ZENGXiaoqing,ZHANGRoxin,OUYANGWenguangˁ,WANGQi1.长沙理工大学经济与管理学院,长沙410004ሮ2.美国北密歇大学数学与计算机科学系,马凯特,美国49855H3.奇虎360科技有限公司,北京100015ࢺPS1.SchoolofEconomic
2、sandManagement,ChangshaUniversityofScienceandTechnology,ChangshaK410004,China2.DepartmentofMathematicsandComputerScience,NorthernMichiganUniversity,MI49855,USA3.Qihu360SoftwareCo.Ltd.,Beijingካ100015,ChinaDFBZENGXiaoqing,ZHANGRoxin,OUYANGWenguang,eta
3、lᝠX.Precisioncustomerpositioningorientedsocialnetworkanalysisunderbigdataenvironment.ComputerEngineeringandApplications,X2017,53(15):85-94.Abstract:Bigdataprovidesimportantsupportforenterprisesdoingprecisionmarketingdecision.ItcansignificantlyXenhancem
4、arketingeffectivenessandimprovecustomersatisfaction.Customeridentificationandselectionisfundamentalforprecisionmarketing.Ithelpscompaniestargetvaluablecustomersanddesignmarketingmixstrategies.Asasocialstructureanalysismethod,SocialNetworkAnalysis(SNA)m
5、ethodcaneffectivelytargetthekeycustomersbyanalyzingcustomer’sindividualcharacteristicsandgroupfeatures.Firstly,throughthesocialnetworkcentralityanalysis,thispaperstudiestherelationshipbetweenthenodecentralityinanetworkandthemarketingeffectiveness.Furth
6、ermore,byintro-ducingamethodcalledRMCL(RegularizedMarkovClustering),asolutionispresentedtopartitionsocialnetworkintocommunities.Moreimportantly,inordertodetectcommunitiesinlarge-scalesocialnetworks,theRMCLmethodisimple-mentedinMapReducePattern,aparalle
7、lprogrammingframework.Thispaperalsoexplorestheapproachestoidentifythecorenodewithinasocialnetworkcommunity.Twoindicatorsareproposedintermofcustomerinfluencedegreeandinfluencefactortomeasurethecustomer’simpactonpurchasing.Lastly,combiningwithsocialnetwo
8、rkcentralitymetrics,CARTmethodisusedtouncoverthelinksbetweenthesocialnetworkandcustomerconsumingresponse,andtheorderofvariableimportanceisdetermined,whichprovidesafeasibleguidancefortheenterprisesadoptingdifferentiatedmarketingstrategie