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Achieving Democratic Leadership: A Data-Mined Prescription

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  • Steven J. Jurek
  • Anthony Scime

Abstract

type="main"> To understand what kind of individuals lead particular regimes, this study examines the most influential people in politics, the executives, to uncover the relationship between their characteristics and the type of regime they govern. This article employs data mining with characteristics of executives worldwide against the state's Freedom House ranking. Through data mining, the results indicate that while there are still many important factors that coincide with democracy, the length of time in office and to a lesser extent the religious beliefs of executives and the likelihood of being classified as a democracy are heavily related. This article concludes with a recommendation for supporting specific types of executives to increase the likelihood for successful democratization to minimize authoritarian rule.

Suggested Citation

  • Steven J. Jurek & Anthony Scime, 2014. "Achieving Democratic Leadership: A Data-Mined Prescription," Social Science Quarterly, Southwestern Social Science Association, vol. 95(1), pages 97-110, March.
    • Handle: RePEc:bla:socsci:v:95:y:2014:i:1:p:97-110
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    File URL: http://hdl.handle.net/10.1111/ssqu.12035
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    References listed on IDEAS

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    1. Sikha Bagui, 2006. "An Approach to Mining Crime Patterns," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 2(1), pages 50-80, January.
    2. Anthony Scime & Gregg R. Murray & Lance Y. Hunter, 2010. "Testing terrorism theory with data mining," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 2(2), pages 122-139.
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    Cited by:

    1. Nilay Saiya & Anthony Scime, 2015. "Explaining religious terrorism: A data-mined analysis," Conflict Management and Peace Science, Peace Science Society (International), vol. 32(5), pages 487-512, November.

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    2. Nilay Saiya & Anthony Scime, 2015. "Explaining religious terrorism: A data-mined analysis," Conflict Management and Peace Science, Peace Science Society (International), vol. 32(5), pages 487-512, November.

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