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The non‐Gaussian nature of bibliometric and scientometric distributions: A new approach to interpretation

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  • Ludmila E. Ivancheva

Abstract

An attempt has been made to give an answer to the question: Why do most bibliometric and scientometric laws reveal characters of Non‐Gaussian distributions, i.e., have unduly long “tails”? We tried to apply the approach of the so‐called “Universal Law,” discovered by G. Stankov (1997, 1998). The basic principle we have used here is that of the reciprocity of energy and space. A new “wave concept” of scientific information has been propounded, in which terms the well‐known bibliometric and scientometric distributions find a rather satisfactory explanation. One of the made corollaries is that α = 1 is the most reasonable value for the family of Zipf laws, applied to information or social phenomena.

Suggested Citation

  • Ludmila E. Ivancheva, 2001. "The non‐Gaussian nature of bibliometric and scientometric distributions: A new approach to interpretation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(13), pages 1100-1105.
    • Handle: RePEc:bla:jamist:v:52:y:2001:i:13:p:1100-1105
    DOI: 10.1002/asi.1176
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    Cited by:

    1. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    2. Joanna Nowicka-Zagrajek & Rafal Weron, 2002. "Modeling electricity loads in California: ARMA models with hyperbolic noise," HSC Research Reports HSC/02/02, Hugo Steinhaus Center, Wroclaw University of Technology.

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