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Multidimensional Similarities at a Global Scale: An Approach to Mapping Open Society Orientations

Author

Listed:
  • Massimo Buscema

    (Semeion Research Center
    University of Colorado)

  • Pier Luigi Sacco

    (IULM University)

  • Guido Ferilli

    (IULM University)

Abstract

This paper analyzes the global geography of open society orientations in the sense of Karl Popper’s notion of open society, by means of a database consisting of five common, public and widely used indicators such as UNDP’s Human Development Index, the World Economic Forum’s Global Competitiveness Index, the Heritage Foundation’s Economic Freedom Index, Reporters Sans Frontières’ Press Freedom Index, and Transparency International’s Corruption Perception Index. We carry out a cluster analysis based on the Self-Organizing Map (SOM) technique, and find that the geography of open society orientation organizes globally into four main clusters with distinctive socio-economic characteristics. We discuss the implications of the clusterization and find that it provides interesting insight also as to the post-2008 response of countries to the global financial crisis.

Suggested Citation

  • Massimo Buscema & Pier Luigi Sacco & Guido Ferilli, 2016. "Multidimensional Similarities at a Global Scale: An Approach to Mapping Open Society Orientations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1239-1258, September.
    • Handle: RePEc:spr:soinre:v:128:y:2016:i:3:d:10.1007_s11205-015-1077-4
    DOI: 10.1007/s11205-015-1077-4
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    Cited by:

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