Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships
Disordered Systems and Neural Networks
2009-11-13 v1 Physics and Society
Abstract
Network structure strongly constrains the range of dynamic behaviors available to a complex system. These system dynamics can be classified based on their response to perturbations over time into two distinct regimes, ordered or chaotic, separated by a critical phase transition. Numerous studies have shown that the most complex dynamics arise near the critical regime. Here we use an information theoretic approach to study structure-dynamics relationships within a unified framework and how that these relationships are most diverse in the critical regime.
Cite
@article{arxiv.0801.3699,
title = {Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships},
author = {Matti Nykter and Nathan D. Price and Antti Larjo and Tommi Aho and Stuart A. Kauffman and Olli Yli-Harja and Ilya Shmulevich},
journal= {arXiv preprint arXiv:0801.3699},
year = {2009}
}