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幂律网络中的同步

Synchronization in power-law networks.

作者信息

Kocarev Ljupco, Amato Paolo

机构信息

Institute for Nonlinear Science, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0402, USA.

出版信息

Chaos. 2005 Jun;15(2):24101. doi: 10.1063/1.1899283.

Abstract

We consider realistic power-law graphs, for which the power-law holds only for a certain range of degrees. We show that synchronizability of such networks depends on the expected average and expected maximum degree. In particular, we find that networks with realistic power-law graphs are less synchronizable than classical random networks. Finally, we consider hybrid graphs, which consist of two parts: a global graph and a local graph. We show that hybrid networks, for which the number of global edges is proportional to the number of total edges, almost surely synchronize.

摘要

我们考虑实际的幂律图,对于这类图,幂律仅在一定的度范围内成立。我们表明,此类网络的同步性取决于预期平均度和预期最大度。特别地,我们发现具有实际幂律图的网络比经典随机网络的同步性更差。最后,我们考虑混合图,它由两部分组成:一个全局图和一个局部图。我们表明,对于全局边的数量与总边的数量成比例的混合网络,几乎肯定会同步。

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