title: Critical networks exhibit maximal information diversity in structure-dynamics relationships.
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 show that these relationships are most diverse in the critical regime.
authors: Institute of Signal Processing, Tampere University of Technology, Tampere, Finland.
authors: Matti
authors: M
authors: Nykter
authors: Nathan D
authors: ND
authors: Price
authors: Antti
authors: A
authors: Larjo
authors: Tommi
authors: T
authors: Aho
authors: Stuart A
authors: SA
authors: Kauffman
authors: Olli
authors: O
authors: Yli-Harja
authors: Ilya
authors: I
authors: Shmulevich
mesh_terms: D000465:Algorithms; D002965:Classification; D003198:Computer Simulation; D007257:Information Theory; D015233:Models, Statistical; D010802:Phylogeny