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The source-effort coverage of an exponential informetric process

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  • Lafouge, Thierry
  • Agouzal, Abdelatif

Abstract

Lotkaian informetrics is the framework most often used to study statistical distributions in the production and usage of information. Although Lotkaian distributions are traditionally used to characterize the Information Production Process (IPP), we have shown in a previous article that the IPP can successfully be studied using the effort function – the latter having been initially introduced to define the Exponential Informetric Process (EIP). These themes continue to be developed in this article, in which we present a necessary and sufficient condition for the existence of the EIP. Our current approach is similar to the one used to study IPPs. Inverse power and exponential distributions serve to illustrate the results obtained in the context of an EIP. Numerical examples are discussed.

Suggested Citation

  • Lafouge, Thierry & Agouzal, Abdelatif, 2015. "The source-effort coverage of an exponential informetric process," Journal of Informetrics, Elsevier, vol. 9(1), pages 156-168.
    • Handle: RePEc:eee:infome:v:9:y:2015:i:1:p:156-168
    DOI: 10.1016/j.joi.2014.12.004
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    References listed on IDEAS

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    1. Lafouge, Thierry, 2007. "The source-item coverage of the exponential function," Journal of Informetrics, Elsevier, vol. 1(1), pages 59-67.
    2. Leo Egghe, 2004. "The source-item coverage of the Lotka function," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 103-115, September.
    3. Agouzal, Abdelatif & Lafouge, Thierry, 2008. "On the relation between the Maximum Entropy Principle and the principle of Least Effort: The continuous case," Journal of Informetrics, Elsevier, vol. 2(1), pages 75-88.
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    Cited by:

    1. Thierry Lafouge & Abdellatif Agouzal & Genevieve Lallich, 2015. "The deconstruction of a text: the permanence of the generalized Zipf law—the inter-textual relationship between entropy and effort amount," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 193-217, July.

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