Affordable Access

deepdyve-link deepdyve-link
Publisher Website

Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships

Authors
  • Nykter, Matti
  • Price, Nathan D.
  • Larjo, Antti
  • Aho, Tommi
  • Kauffman, Stuart A.
  • Yli-Harja, Olli
  • Shmulevich, Ilya
Type
Preprint
Publication Date
Jan 23, 2008
Submission Date
Jan 23, 2008
Identifiers
DOI: 10.1103/PhysRevLett.100.058702
Source
arXiv
License
Unknown
External links

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.

Report this publication

Statistics

Seen <100 times