Please use this identifier to cite or link to this item: https://doi.org/10.1063/1.2841198
Title: Synchronizability of network ensembles with prescribed statistical properties
Authors: Guan, S. 
Wang, X. 
Li, K. 
Wang, B.-H.
Lai, C.-H. 
Issue Date: 2008
Citation: Guan, S., Wang, X., Li, K., Wang, B.-H., Lai, C.-H. (2008). Synchronizability of network ensembles with prescribed statistical properties. Chaos 18 (1) : -. ScholarBank@NUS Repository. https://doi.org/10.1063/1.2841198
Abstract: It has been shown that synchronizability of a network is determined by the local structure rather than the global properties. With the same global properties, networks may have very different synchronizability. In this paper, we numerically studied, through the spectral properties, the synchronizability of ensembles of networks with prescribed statistical properties. Given a degree sequence, it is found that the eigenvalues and eigenratios characterizing network synchronizability have well-defined distributions, and statistically, the networks with extremely poor synchronizability are rare. Moreover, we compared the synchronizability of three network ensembles that have the same nodes and average degree. Our work reveals that the synchronizability of a network can be significantly affected by the local pattern of connections, and the homogeneity of degree can greatly enhance network synchronizability for networks of a random nature. © 2008 American Institute of Physics.
Source Title: Chaos
URI: http://scholarbank.nus.edu.sg/handle/10635/115962
ISSN: 10541500
DOI: 10.1063/1.2841198
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

9
checked on Aug 14, 2018

WEB OF SCIENCETM
Citations

8
checked on Aug 14, 2018

Page view(s)

32
checked on Aug 10, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.