The source-effort coverage of an exponential informetric process

Thierry Lafouge (1) , Abdellatif Agouzal (2)

1 ELICO - Equipe de recherche de Lyon en sciences de l'information et de la communication
2 MMCS - Modélisation mathématique, calcul scientifique

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 .

Mots clés: Inverse power distribution; mathematical adjustment; entropy; exponential distribution; effort function

Domaines: Sciences de l'information et de la communication

Thierry Lafouge, Abdellatif Agouzal. The source-effort coverage of an exponential informetric process. Journal of Informetrics, 2015, journal of informetrics, 9 (2015) (9 (2015)), pp.156-168. ⟨10.1016/j.joi.2014.12.004⟩. ⟨hal-01134161⟩