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

Research output: Contribution to journalArticlepeer-review

64 Scopus citations


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.

Original languageEnglish (US)
Article number058702
JournalPhysical Review Letters
Issue number5
StatePublished - Feb 4 2008
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)


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