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Statistical properties of approval ratings for governments

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  • Honjo, Haruo
  • Sano, Masaki
  • Miki, Hiroshi
  • Sakaguchi, Hidetsugu

Abstract

We elucidate the statistical mechanical properties of the approval rating time series of several governments from the social dynamics of complex systems and sociophysics points of view. We find that the distribution of approval rating volatility shows exponential independently on nations. Introducing “volatility temperature” defined with the exponential distribution, it could be understood generally that high and low temperature nations correspond to parliamentary cabinet and presidential systems, respectively. We also find that approval rating time series of many governments shows self-affine fractality with negative or positive correlation. Approval rating time series is typical one of few negative correlation phenomena.

Suggested Citation

  • Honjo, Haruo & Sano, Masaki & Miki, Hiroshi & Sakaguchi, Hidetsugu, 2015. "Statistical properties of approval ratings for governments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 266-272.
    • Handle: RePEc:eee:phsmap:v:428:y:2015:i:c:p:266-272
    DOI: 10.1016/j.physa.2015.02.047
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    References listed on IDEAS

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    1. Sorin Solomon & Moshe Levy, 1996. "Spontaneous Scaling Emergence In Generic Stochastic Systems," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 7(05), pages 745-751.
    2. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.
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    Cited by:

    1. Ichiro Shimada & Tomio Koyama, 2015. "A Theory for Complex Systems Social Change: An Application of a General 'Criticality' Model," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 13(3), pages 342-353.
    2. repec:zna:indecs:v:13:y:2015:i:2:p:342-353 is not listed on IDEAS

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