Nonextensive information entropy for stochastic networks
Condensed Matter
2007-05-23 v4 High Energy Physics - Phenomenology
Nuclear Theory
Abstract
Nature is full of random networks of complex topology describing such apparently disparate systems as biological, economical or informatical ones. Their most characteristic feature is the apparent scale-free character of interconnections between nodes. Using an information theory approach, we show that maximalization of information entropy leads to a wide spectrum of possible types of distributions including, in the case of nonextensive information entropy, the power-like scale-free distributions characteristic of complex systems.
Cite
@article{arxiv.cond-mat/0212056,
title = {Nonextensive information entropy for stochastic networks},
author = {G. Wilk and Z. Wlodarczyk},
journal= {arXiv preprint arXiv:cond-mat/0212056},
year = {2007}
}
Comments
Final version, to be published in Acta Phys. Polon. B35 (2004)