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Journal Articles Journal of Information Science Year : 2001

Links between information construction and information gain. Entropy and bibliometric distributions.

,
Thierry Lafouge
  • Function : Author
Christine Michel

Abstract

The study of the statistical regularities observed in the field of the information production and use has confirmed the existence of important similarities. Thus, the existence of regularities and measurable ratios allow the prevision and the concept of laws. In the fifties, C. Shannon (Shannon C., Weaver W. 1975 : Théorie mathématique de la communication, Bibliothèque du CELP, 1975) modeled the information circulation theory. The entropy hypothesis of this theory is: the more ranked a system is, the less information it produces. Theoretical studies have tried to formalize the connection between the bibliometric distribution and the entropy. In this paper we try to extend previous results linked with "the least effort principle" and the analytical slope of a bibliometric distribution. In the first and second parts we present some recalls about entropy and bibliometric distributions, and after that, we describe different links between them.
L'étude des régularités statistiques observées dans le champ de la production et de l'usage ont confirmé l'existence d'importantes similarités . D'autre part la théorie mathématique (théorie de Shanon) de l'information postule qu'un système possède une "information" d'autant plus importante que le système est ordonnée. Dans cet article nous étendons des résultats connus liés au principe de la loi du moindre effort à différents types de distributions statistique.
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Dates and versions

sic_00000408 , version 1 (04-04-2003)

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  • HAL Id : sic_00000408 , version 1

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Thierry Lafouge, Christine Michel. Links between information construction and information gain. Entropy and bibliometric distributions.. Journal of Information Science, 2001, 27 (1). ⟨sic_00000408⟩

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