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