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q-exponential fitting for distributions of family names

Author

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  • Yamada, Hiroaki S.
  • Iguchi, Kazumoto

Abstract

We study the applicability of the q-exponential function for the distribution of family names. We mainly focus on the rank-size distribution of Japanese family names. The result supports the fact that the q-exponential distribution is relevant to the distribution of family names that is understood until now to obey power-law distribution (Zipf law).

Suggested Citation

  • Yamada, Hiroaki S. & Iguchi, Kazumoto, 2008. "q-exponential fitting for distributions of family names," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(7), pages 1628-1636.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:7:p:1628-1636
    DOI: 10.1016/j.physa.2007.11.002
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    References listed on IDEAS

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    1. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, October.
    2. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
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    Cited by:

    1. Coronel-Brizio, H.F. & Hernández-Montoya, A.R., 2010. "The Anderson–Darling test of fit for the power-law distribution from left-censored samples," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3508-3515.
    2. Martins, Francisco Leonardo Bezerra & do Nascimento, José Cláudio, 2022. "Power law dynamics in genealogical graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).

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