Critical networks exhibit maximal information diversity in structure-dynamics relationships

TitleCritical networks exhibit maximal information diversity in structure-dynamics relationships
Publication TypeJournal Article
Year of Publication2008
AuthorsNykter M, Price ND, Larjo A, Aho T, Kauffman SA, Yli-Harja O, Shmulevich I
JournalPhys Rev Lett
Volume100
Pagination058702
Date PublishedFeb 8
PMID18352443
Keywords*Classification, *Information Theory, Algorithms, Computer Simulation, Models, Statistical, Phylogeny
AbstractNetwork 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.

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