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 :
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