DocumentCode
955271
Title
Characterizing the synchronizability of small-world dynamical networks
Author
Lü, Jinhu ; Yu, Xinghuo ; Chen, Guanrong ; Cheng, Daizhan
Author_Institution
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Volume
51
Issue
4
fYear
2004
fDate
4/1/2004 12:00:00 AM
Firstpage
787
Lastpage
796
Abstract
Many real-world complex networks display a small-world feature-a high degree of clustering and a small average distance. We show that the maximum synchronizability of a network is completely determined by its associated feedback system, which has a precise meaning in terms of synchronous communication. We introduce a new concept of synchronizability matrix to characterize the maximum synchronizability of a network. Several new concepts, such as sensitive edge and robust edge, are proposed for analyzing the robustness and fragility of synchronization of a network. Using the knowledge of synchronizability, we can purposefully increase the robustness of the network synchronization and prevent it from attacks. Some applications in small-world networks are also discussed briefly.
Keywords
nonlinear dynamical systems; synchronisation; associated feedback system; clustering; dynamic networks; robust edge; sensitive edge; small-world networks; synchronizability; Complex networks; Displays; Humans; Lattices; Neurons; Organisms; Power grids; Robustness; Web sites; World Wide Web;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2004.823672
Filename
1284752
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