Study on characteristics and community structure of high-speed rail network centered on Shanghai

Abstract

The high-speed railway is a typical representative of China 's high-speed transportation infrastructure, with typical complex network characteristics. Based on the complex network theory, this paper conducts an empirical study on a Space-P network model for high-speed train originating from Shanghai. Then the network is divided into communities by louvain algorithm. The average distance of the network is 1.76, the modularity of community division is 0.3683, and the clustering coefficient is 0.6859, which is typical of small-world network. Due to Space-P model, the network is highly connected, resulting in a relatively low modularity. To a certain extent, the network reflects the developed high-speed rail level and wide direct range of Shanghai, and also reflects the convenience of China 's high-speed rail.