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利用介数中心性增强加权动态网络的同步性。

Enhancing synchronizability of weighted dynamical networks using betweenness centrality.

作者信息

Jalili Mahdi, Rad Ali Ajdari, Hasler Martin

机构信息

Laboratory of Nonlinear Systems, School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne, CH 1015, Lausanne, Switzerland.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jul;78(1 Pt 2):016105. doi: 10.1103/PhysRevE.78.016105. Epub 2008 Jul 14.

Abstract

By considering the eigenratio of the Laplacian of the connection graph as a synchronizability measure, we propose a procedure for weighting dynamical networks to enhance their synchronizability. The method is based on node and edge betweenness centrality measures and is tested on artificially constructed scale-free, Watts-Strogatz, and random networks as well as on some real-world graphs. It is also numerically shown that the same procedure could be used to enhance the phase synchronizability of networks of nonidentical oscillators.

摘要

通过将连接图拉普拉斯算子的特征比视为同步性度量,我们提出了一种为动态网络加权以增强其同步性的方法。该方法基于节点和边的介数中心性度量,并在人工构建的无标度网络、瓦茨 - 斯托加茨网络和随机网络以及一些真实世界的图上进行了测试。数值结果还表明,相同的方法可用于增强非相同振荡器网络的相位同步性。

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