title: Adaptive coevolutionary networks: a review.
abstract: Adaptive networks appear in many biological applications. They combine topological evolution of the network with dynamics in the network nodes. Recently, the dynamics of adaptive networks has been investigated in a number of parallel studies from different fields, ranging from genomics to game theory. Here we review these recent developments and show that they can be viewed from a unique angle. We demonstrate that all these studies are characterized by common themes, most prominently: complex dynamics and robust topological self-organization based on simple local rules.
authors.affiliation: Biological Physics Section, Max-Planck Intitut für Physik komplexer Systeme, Nöthnitzer Strasse 38, 01187 Dresden, Germany. thilo.gross@physics.org
authors.forename: Thilo
authors.initials: T
authors.lastname: Gross
authors.forename: Bernd
authors.initials: B
authors.lastname: Blasius
mesh_terms: D000465:Algorithms; D005075:Biological Evolution; D003198:Computer Simulation; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005716:Game Theory; D007257:Information Theory; D008962:Models, Theoretical