DocumentCode
2308822
Title
Effect of complex network structure on synchronizability
Author
Wang, Dan ; Li, Yanping ; Jin, Xiaozheng
Author_Institution
Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
fYear
2012
fDate
6-8 July 2012
Firstpage
3481
Lastpage
3484
Abstract
We introduce a evolving model that characterizes the weighted scale-free networks with high clustering coefficient by adjusting a parameter. The average clustering coefficient exhibits power-law decay as a function of degree of node. Triad Formation can distinctly enhance the clustering coefficient of networks. The effect of the evolution mechanism on synchronizability is analyzed. The simulation results show that synchronizability of both the type I network and the type II network decrease as the average clustering coefficient increases in weighted scale-free networks.
Keywords
complex networks; evolutionary computation; pattern clustering; complex network structure; evolution mechanism; power-law decay; triad formation; weighted scale-free network; Complex networks; Couplings; Eigenvalues and eigenfunctions; Oscillators; Synchronization; Topology; Synchronization; Weighted network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6359050
Filename
6359050
Link To Document