Jamming and Correlation Patterns in Traffic of Information on Sparse Modular Networks

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We study high-density traffic of information packets on sparse modular networks with scale-free subgraphs. With different statistical measures we distinguish between the free flow and congested regime and point out the role of modules in the jamming transition. We further consider correlations between traffic signals collected at each node in the network. The correlation matrix between pairs of signals reflects the network modularity in the eigenvalue spectrum and the structure of eigenvectors. The internal structure of the modules has an important role in the diffusion dynamics, leading to enhanced correlations between the modular hubs, which can not be filtered out by standard methods. Implications for the analysis of real networks with unknown modular structure are discussed.

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

Jamming and Correlation Patterns in Traffic of Information on Sparse Modular Networks 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 Jamming and Correlation Patterns in Traffic of Information on Sparse Modular Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Jamming and Correlation Patterns in Traffic of Information on Sparse Modular Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-313857

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