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Enhancing synchronizability by rewiring networks |
Wang Li-Fu(王立夫)a) b), Wang Qing-Li(王庆利)c), Kong Zhi(孔芝) a), and Jing Yuan-Wei(井元伟)b) |
a Department of Automation and Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; b School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; c Department of Information and Engineering, Shenyang Institute of Engineering, Shenyang 110136, China |
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Abstract According to different forms of synchronized region, complex networks are divided into type I (unbounded synchronization region) and type II (bounded synchronization region) networks. This paper presents a rewiring algorithm to enhance the synchronizability of type I and type II networks. By utilizing the algorithm for an unweighted and undirected network, a better synchronizability of network with the same number of nodes and edges can be obtained. Numerical simulations on several different network models are used to support the proposed procedure. The relationship between different topological properties of the networks and the number of rewirings are shown. It finds that the final optimized network is independent of the initial network, and becomes homogeneous. In addition the optimized networks have similar structural properties in the sense of degree, and node and edge betweenness centralities. However, they do not have similar cluster coefficients for type II networks. The research may be useful for designing more synchronizable networks and understanding the synchronization behaviour of networks.
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Received: 12 October 2009
Revised: 06 December 2009
Accepted manuscript online:
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PACS:
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89.75.Hc
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(Networks and genealogical trees)
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02.60.Cb
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(Numerical simulation; solution of equations)
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84.30.Bv
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(Circuit theory)
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Fund: Project supported by the Science Foundation of the Education Bureau of Liaoning Province of China (Grant No. 2008497). |
Cite this article:
Wang Li-Fu(王立夫), Wang Qing-Li(王庆利), Kong Zhi(孔芝), and Jing Yuan-Wei(井元伟) Enhancing synchronizability by rewiring networks 2010 Chin. Phys. B 19 080207
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