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A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures

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  • Fuyuki Yoshikane
  • Kyo Kageura
  • Keita Tsuji

Abstract

In this article, we propose a method for the comparative analysis of concentration in author productivity distributions. We define the notion of concentration on the basis of two viewpoints (absolute and relative concentration) and select G (Gini's index) and V (the number of authors) as suitable measures for these two viewpoints. We then discuss the statistical peculiarity of author productivity data (i.e., most of the statistical measures change systematically according to changes in the sample size) and we explain our method using developmental profiles, which takes into account the sample size dependency of statistical measures. Finally, by applying it to actual data, we demonstrate the usefulness of the proposed method.

Suggested Citation

  • Fuyuki Yoshikane & Kyo Kageura & Keita Tsuji, 2003. "A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 521-528, April.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:6:p:521-528
    DOI: 10.1002/asi.10239
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    Cited by:

    1. Fuyuki Yoshikane & Takafumi Suzuki, 2014. "Diversity of fields in patent citations: synchronic and diachronic changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1879-1897, March.
    2. Fuyuki Yoshikane & Kyo Kageura, 2004. "Comparative analysis of coauthorship networks of different domains: The growth and change of networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 435-446, August.
    3. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

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