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Analyzing superstars’ power using support vector machines

dc.contributor.authorSuárez Vázquez, Ana 
dc.contributor.authorQuevedo Pérez, José Ramón 
dc.date.accessioned2016-04-26T10:39:38Z
dc.date.available2016-04-26T10:39:38Z
dc.date.issued2015-12
dc.identifier.citationEmpirical Economics, 49(4), p. 1521-1542 (2015); doi:10.1007/s00181-015-0923-1
dc.identifier.issn0377-7332
dc.identifier.issn1435-8921
dc.identifier.urihttp://hdl.handle.net/10651/36709
dc.description.abstractThe main objective of this paper is to explain the influence that superstars have over spectators. The most significant contributions in the field of persuasion are discussed. This theoretical framework suggests some hypotheses that are tested using the data of an empirical study based on a survey of moviegoers. Support vector machine (SVM) is used for data analysis and pattern discovery. The SVM prediction capacity is benchmarked against that from a linear regression and multinomial logit. Results show that the SVM has considerable promise for analyzing spectators’ behavior. The results of this analysis allow us to extract some significant conclusions and implications for the process of creating and maintaining the power of a superstarspa
dc.description.sponsorshipThis research has been partially supported by the mobility programme of the Campus of International Excellence of the University of Oviedospa
dc.format.extentp. 1521-1542spa
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.ispartofEmpirical Economics, 49(4)spa
dc.rights© Springer-Verlag Berlin Heidelberg, 2015
dc.subjectCinema marketspa
dc.subjectStar powerspa
dc.subjectPersuasionspa
dc.subjectMachine learningspa
dc.titleAnalyzing superstars’ power using support vector machinesspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.identifier.doi10.1007/s00181-015-0923-1
dc.type.dcmitextspa
dc.relation.projectIDUniversidad de Oviedo-CEIspa
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s00181-015-0923-1spa


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