时变网络中的常见群落结构。
Common community structure in time-varying networks.
作者信息
Zhang Shihua, Zhao Junfei, Zhang Xiang-Sun
机构信息
National Center for Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
出版信息
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 May;85(5 Pt 2):056110. doi: 10.1103/PhysRevE.85.056110. Epub 2012 May 10.
In this report we introduce the concept of common community structure in time-varying networks. We propose a novel optimization algorithm to rapidly detect common community structure in such networks. Both theoretical and numerical results show that the proposed method not only can resolve detailed common communities, but also can effectively identify the dynamical phenomena in time-varying networks.
在本报告中，我们介绍了时变网络中共同社区结构的概念。我们提出了一种新颖的优化算法，用于快速检测此类网络中的共同社区结构。理论和数值结果均表明，所提出的方法不仅能够解析详细的共同社区，还能够有效地识别时变网络中的动态现象。
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