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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/36709

Title: Analyzing superstars’ power using support vector machines
Author(s): Suárez Vázquez, Ana
Quevedo Pérez, José Ramón
Keywords: Cinema market
Star power
Machine learning
Issue date: Dec-2015
Publisher: Springer
Publisher version: http://dx.doi.org/10.1007/s00181-015-0923-1
Citation: Empirical Economics, 49(4), p. 1521-1542 (2015); doi:10.1007/s00181-015-0923-1
Format extent: p. 1521-1542
Abstract: The 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 superstar
URI: http://hdl.handle.net/10651/36709
ISSN: 0377-7332
Sponsored: This research has been partially supported by the mobility programme of the Campus of International Excellence of the University of Oviedo
Project id.: Universidad de Oviedo-CEI
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