Entropies of complex networks with hierarchically constrained topologies

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

(18 pages)

Scientific paper

10.1103/PhysRevE.78.016114

The entropy of a hierarchical network topology in an ensemble of sparse random networks with "hidden variables" associated to its nodes, is the log-likelihood that a given network topology is present in the chosen ensemble.We obtain a general formula for this entropy,which has a clear simple interpretation in some simple limiting cases. The results provide new keys with which to solve the general problem of "fitting" a given network with an appropriate ensemble of random networks.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Entropies of complex networks with hierarchically constrained 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 Entropies of complex networks with hierarchically constrained topologies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Entropies of complex networks with hierarchically constrained topologies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-445439

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.