title: Topological evolution of dynamical networks: global criticality from local dynamics.
abstract: We evolve network topology of an asymmetrically connected threshold network by a simple local rewiring rule: quiet nodes grow links, active nodes lose links. This leads to convergence of the average connectivity of the network towards the critical value K(c) = 2 in the limit of large system size N. How this principle could generate self-organization in natural complex systems is discussed for two examples: neural networks and regulatory networks in the genome.
authors.affiliation: Institut für Theoretische Physik, Universität Kiel, Leibnizstrasse 15, D-24098 Kiel, Germany.
authors.forename: S
authors.initials: S
authors.lastname: Bornholdt
authors.forename: T
authors.initials: T
authors.lastname: Rohlf
mesh_terms: D000465:Algorithms; D005786:Gene Expression Regulation; D016678:Genome; D008954:Models, Biological; D008962:Models, Theoretical; D009415:Nerve Net