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复杂网络中的动态和方向

Dynamics and directionality in complex networks.

机构信息

Department of Physics, Institute for the BioCentury, KAIST, Daejeon 305-701, Korea.

出版信息

Phys Rev Lett. 2009 Nov 27;103(22):228702. doi: 10.1103/PhysRevLett.103.228702. Epub 2009 Nov 23.

Abstract

We investigate how we can improve the synchronizability of complex networks simply by changing the link direction while conserving the local link weights and topology. Performing the linear stability analysis of synchronization and numerical simulation of the Kuramoto model in the directed networks, we find that while a random assignment of link directions generally weakens the degree of synchronization, a properly organized directionality can systematically enhance the network synchronization. In this respect, we suggest a simple method of changing the link direction according to the larger residual degree starting from small residual degree nodes. This result provides plausible applications to control the synchronizability of systems in various fields.

摘要

我们研究如何通过在保持局部链路权重和拓扑不变的情况下改变链路方向来提高复杂网络的同步能力。通过对有向网络中同步的线性稳定性分析和 Kuramoto 模型的数值模拟,我们发现,虽然随机分配链路方向通常会削弱同步程度,但适当组织的方向性可以系统地增强网络同步。在这方面,我们建议了一种简单的方法,即从较小残余度节点开始,根据较大残余度来改变链路方向。该结果为控制各个领域系统的同步能力提供了合理的应用。

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