中国物理B ›› 2007, Vol. 16 ›› Issue (8): 2304-2309.doi: 10.1088/1009-1963/16/8/024
李克平, 高自友
Li Ke-Ping(李克平) and Gao Zi-You(高自友)
摘要: In the functional properties of complex networks, modules play a central role. In this paper, we propose a new method to detect and describe the modular structures of weighted networks. In order to test the proposed method, as an example, we use our method to analyse the structural properties of the Chinese railway network. Here, the stations are regarded as the nodes and the track sections are regarded as the links. Rigorous analysis of the existing data shows that using the proposed algorithm, the nodes of network can be classified naturally. Moreover, there are several core nodes in each module. Remarkably, we introduce the correlation function $G_{rs}$, and use it to distinguish the different modules in weighted networks.
中图分类号: (Networks and genealogical trees)