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复杂网络中的社区结构和多峰振荡。

Community structure and multi-modal oscillations in complex networks.

机构信息

School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester, United Kingdom.

出版信息

PLoS One. 2013 Oct 10;8(10):e75569. doi: 10.1371/journal.pone.0075569. eCollection 2013.

Abstract

In many types of network, the relationship between structure and function is of great significance. We are particularly interested in community structures, which arise in a wide variety of domains. We apply a simple oscillator model to networks with community structures and show that waves of regular oscillation are caused by synchronised clusters of nodes. Moreover, we show that such global oscillations may arise as a direct result of network topology. We also observe that additional modes of oscillation (as detected through frequency analysis) occur in networks with additional levels of topological hierarchy and that such modes may be directly related to network structure. We apply the method in two specific domains (metabolic networks and metropolitan transport) demonstrating the robustness of our results when applied to real world systems. We conclude that (where the distribution of oscillator frequencies and the interactions between them are known to be unimodal) our observations may be applicable to the detection of underlying community structure in networks, shedding further light on the general relationship between structure and function in complex systems.

摘要

在许多类型的网络中,结构与功能之间的关系具有重要意义。我们特别关注社区结构,因为它出现在各种领域中。我们将一个简单的振荡器模型应用于具有社区结构的网络,并表明规则振荡波是由节点的同步簇引起的。此外,我们还表明,这种全局振荡可能是网络拓扑结构的直接结果。我们还观察到,在具有附加拓扑层次结构的网络中会出现额外的振荡模式(通过频率分析检测到),并且这种模式可能与网络结构直接相关。我们将该方法应用于两个特定领域(代谢网络和城市交通),证明了我们的结果在应用于真实系统时具有稳健性。我们得出的结论是(在已知振荡器频率分布和它们之间的相互作用为单峰的情况下),我们的观察结果可能适用于网络中潜在社区结构的检测,从而进一步揭示复杂系统中结构与功能之间的一般关系。

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