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Analyzing superstars’ power using support vector machines

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  • Ana Suárez-Vázquez
  • José Quevedo

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. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
    • Handle: RePEc:spr:empeco:v:49:y:2015:i:4:p:1521-1542
    DOI: 10.1007/s00181-015-0923-1
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    Cited by:

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    2. Mi (Jamie) Zhou & Baozhou Lu & Weiguo (Patrick) Fan & G. Alan Wang, 0. "Project description and crowdfunding success: an exploratory study," Information Systems Frontiers, Springer, vol. 0, pages 1-16.

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    More about this item

    Keywords

    Cinema market; Star power; Persuasion; Machine learning; Support vector machine; M3; Z1; C6;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
    • Z1 - Other Special Topics - - Cultural Economics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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