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 ana...
Evidence for Ziegler's principle of maximum entropy production has been accumulated from different f...
The problem of increasing entropy through the transformation of the natural environment by economic ...
Shannon entropy of a probability distribution gives a weighted mean of a measure of information that...
The study of the statistical regularities observed in the field of the information production and us...
The study of the statistical regularities observed in the field of the information production and us...
The study of the statistical regularities observed in the field of the information production and us...
Cet article est plus complet qu'un article du même type soumis au congrès de l'ile Rousse SFBA 1999 ...
La théorie de l'information s'est particulièrement développée autour des années 50, en fait à partir...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
International audienceJaynes' information theory formalism of statistical mechanics is applied to th...
The primary purpose of this article is to provide additional quantitative examples to the recently p...
The history of the so called “Benford’s Law”, which concerns the distribution of the first significa...
Abstract. Different generalizations to the case of coverings of the standard approach to entropy app...
Constant entropy rate (conditional entropies must remain constant as the sequence length increases) ...
© 2018 American Physical Society. In classical thermodynamics the entropy is an extensive quantity, ...
Evidence for Ziegler's principle of maximum entropy production has been accumulated from different f...
The problem of increasing entropy through the transformation of the natural environment by economic ...
Shannon entropy of a probability distribution gives a weighted mean of a measure of information that...
The study of the statistical regularities observed in the field of the information production and us...
The study of the statistical regularities observed in the field of the information production and us...
The study of the statistical regularities observed in the field of the information production and us...
Cet article est plus complet qu'un article du même type soumis au congrès de l'ile Rousse SFBA 1999 ...
La théorie de l'information s'est particulièrement développée autour des années 50, en fait à partir...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
International audienceJaynes' information theory formalism of statistical mechanics is applied to th...
The primary purpose of this article is to provide additional quantitative examples to the recently p...
The history of the so called “Benford’s Law”, which concerns the distribution of the first significa...
Abstract. Different generalizations to the case of coverings of the standard approach to entropy app...
Constant entropy rate (conditional entropies must remain constant as the sequence length increases) ...
© 2018 American Physical Society. In classical thermodynamics the entropy is an extensive quantity, ...
Evidence for Ziegler's principle of maximum entropy production has been accumulated from different f...
The problem of increasing entropy through the transformation of the natural environment by economic ...
Shannon entropy of a probability distribution gives a weighted mean of a measure of information that...