NetEvo: a computational framework for the evolution of dynamical complex networks

TE Gorochowski, M di Bernardo, CS Grierson

Research output: Working paperWorking paper and Preprints

76 Downloads (Pure)

Abstract

NetEvo is a computational framework designed to help understand the evolution of dynamical complex networks. It provides flexible tools for the simulation of dynamical processes on networks and methods for the evolution of underlying topological structures. The concept of a supervisor is used to bring together both these aspects in a coherent way. It is the job of the supervisor to rewire the network topology and alter model parameters such that a user specified performance measure is minimised. This performance measure can make use of current topological information and simulated dynamical output from the system. Such an abstraction provides a suitable basis in which to study many outstanding questions related to complex system design and evolution.
Original languageEnglish
Publication statusUnpublished - 17 Dec 2009

Bibliographical note

Sponsorship: TEG acknowledges the support of EPSRC grant EP/5011214

Keywords

  • computational framework
  • dynamical networks
  • evolution

Fingerprint

Dive into the research topics of 'NetEvo: a computational framework for the evolution of dynamical complex networks'. Together they form a unique fingerprint.

Cite this