Factors that predict better synchronizability on complex networks

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

to appear in Phys. Rev. E

Scientific paper

10.1103/PhysRevE.69.067105

While shorter characteristic path length has in general been believed to enhance synchronizability of a coupled oscillator system on a complex network,the suppressing tendency of the heterogeneity of the degree distribution, even for shorter characteristic path length, has also been reported. To see this, we investigate the effects of various factors such as the degree, characteristic path length, heterogeneity, and betweenness centrality on synchronization, and find a consistent trend between the synchronization and the betweenness centrality. The betweenness centrality is thus proposed as a good indicator for synchronizability.

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

Factors that predict better synchronizability on complex 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 Factors that predict better synchronizability on complex networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Factors that predict better synchronizability on complex networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-617037

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