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

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

2009-07-09

arxiv.org/abs/0907.1514v2

Phys. Rev. E 80, 045102(R) (2009)

Physics

Condensed Matter

Disordered Systems and Neural Networks

(4 pages, 1 figure)

Scientific paper

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 paper 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.

Affiliated with

Also associated with

No associations

Rating

Entropy measures for complex networks: Toward an information theory of complex topologies does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Entropy measures for complex networks: Toward an information theory of complex topologies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Entropy measures for complex networks: Toward an information theory of complex topologies will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-341627