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arXiv · 0801.3699

Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships

Matti Nykter·Nathan D. Price·Antti Larjo·Tommi Aho·Stuart A. Kauffman·Olli Yli-Harja·Ilya Shmulevich
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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.

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Matti Nykter, Nathan D. Price, Antti Larjo, Tommi Aho, Stuart A. Kauffman, Olli Yli-Harja, Ilya Shmulevich. 2008-01-24. Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships. https://doi.org/10.1103/physrevlett.100.058702

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