• Rapid Communication

Entropy measures for networks: Toward an information theory of complex topologies

Kartik Anand and Ginestra Bianconi
Phys. Rev. E 80, 045102(R) – Published 13 October 2009

Abstract

The quantification of the complexity of networks is, today, a fundamental problem in the physics of complex systems. A possible roadmap to solve the problem is via extending key concepts of information theory to networks. In this Rapid Communication we propose how to define the Shannon entropy of a network ensemble and how it relates to the Gibbs and von Neumann entropies of network ensembles. The quantities we introduce here will play a crucial role for the formulation of null models of networks through maximum-entropy arguments and will contribute to inference problems emerging in the field of complex networks.

  • Figure
  • Received 28 July 2009

DOI:https://doi.org/10.1103/PhysRevE.80.045102

©2009 American Physical Society

Authors & Affiliations

Kartik Anand1 and Ginestra Bianconi2

  • 1The Abdus Salam International Center for Theoretical Physics, Strada Costiera 11, 34014 Trieste, Italy
  • 2Department of Physics, Northeastern University, Boston, Massachusetts 02115, USA

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 80, Iss. 4 — October 2009

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×