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An interpretation of the effort function trough the mathematical formalism of Exponential Informetric Process

Abstract : Statistical distributions in the production or utilization of information are most often studied in the framework of Lotkaian informetrics. In this article, we show that an Information Production Process (IPP), traditionally characterized by Lotkaian distributions, can be fruitfully studied using the effort function, a concept introduced in an earlier article to define an Exponential Informetric Process. We thus propose replacing the concept of Lotkaian distribution by the logarithmic effort function. In particular, we show that an effort function defines an Exponential Informetric process if its asymptotic behavior is equivalent to the logarithmic function b.Logx with b>1 , which is the effort function of a Lotkaian distribution
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https://archivesic.ccsd.cnrs.fr/sic_00112695
Contributor : Thierry Lafouge <>
Submitted on : Thursday, November 9, 2006 - 3:32:55 PM
Last modification on : Thursday, November 21, 2019 - 2:28:23 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:29:49 PM

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Thierry Lafouge, Agnieszka Smolczewska. An interpretation of the effort function trough the mathematical formalism of Exponential Informetric Process. Information Processing and Management, Elsevier, 2006, 42. ⟨sic_00112695⟩

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