title: Microdynamics and criticality of adaptive regulatory networks.
abstract: We present a model of adaptive regulatory networks consisting of a simple biologically motivated rewiring procedure coupled to an elementary stability criterion. The resulting networks exhibit a characteristic stationary heavy-tailed degree distribution, show complex structural microdynamics, and self-organize to a dynamically critical state. We show analytically that the observed criticality results from the formation and breaking of transient feedback loops during the adaptive process.
authors.affiliation: Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, New York 10029, USA. ben.macarthur@mssm.edu
authors.forename: Ben D
authors.initials: BD
authors.lastname: MacArthur
authors.forename: Rubén J
authors.initials: RJ
authors.lastname: Sánchez-García
authors.forename: Avi
authors.initials: A
authors.lastname: Ma'ayan
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics*; D000465:Algorithms; D003198:Computer Simulation; D019143:Evolution, Molecular; D005246:Feedback; D006801:Humans; D008957:Models, Genetic; D013997:Time Factors