Information theory point of view on stochastic networks

TL;DR

This paper applies information theory, especially its nonextensive version, to analyze the fundamental properties of stochastic networks across various scientific disciplines.

Contribution

It introduces an information theory perspective, focusing on nonextensive entropy, to better understand stochastic networks' properties.

Findings

Illustrates properties of stochastic networks using information theory.

Highlights the relevance of nonextensive entropy in network analysis.

Provides examples demonstrating the application of the theory.

Abstract

Stochastic networks represent very important subject of research because they have been found in almost all branches of modern science, including also sociology and economy. We provide a information theory point of view, mostly based on its nonextensive version, on their most characteristic properties illustrating it with some examples.