Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.76.056113
Title: Optimization of synchronization in gradient clustered networks
Authors: Wang, X. 
Huang, L.
Lai, Y.-C.
Lai, C.H. 
Issue Date: 16-Nov-2007
Citation: Wang, X., Huang, L., Lai, Y.-C., Lai, C.H. (2007-11-16). Optimization of synchronization in gradient clustered networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 76 (5) : -. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevE.76.056113
Abstract: We consider complex clustered networks with a gradient structure, where the sizes of the clusters are distributed unevenly. Such networks describe actual networks in biophysical systems and in technological applications more closely than the previous models. Theoretical analysis predicts that the network synchronizability can be optimized by the strength of the gradient field, but only when the gradient field points from large to small clusters. A remarkable finding is that, if the gradient field is sufficiently strong, synchronizability of the network is mainly determined by the properties of the subnetworks in the two largest clusters. These results are verified by numerical eigenvalue analysis and by direct simulation of synchronization dynamics on coupled-oscillator networks. © 2007 The American Physical Society.
Source Title: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/111462
ISSN: 15393755
DOI: 10.1103/PhysRevE.76.056113
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

24
checked on Oct 19, 2021

WEB OF SCIENCETM
Citations

22
checked on Oct 19, 2021

Page view(s)

68
checked on Oct 14, 2021

Google ScholarTM

Check

Altmetric


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