Study on the correlations of Chinese railway passenger network based on complex network theory

The railway network, which can be abstracted by a set of nodes and links, provides transport services for clients. Researching the correlations is irreplaceable to learn about the characteristic of a network. According to the huge data from Railway Ticket Database, a Chinese railway passenger network is constructed, which concludes 185 vertices denoting different cities, and many edges denoting relationships of railway passenger transport between cities. The correlation coefficients are mainly analyzed. The results show that there are slight negative degree-degree correlation between high-degrees, positive clustering-degree correlation, strong positive accessibility-degree correlation, and positive clustering-accessibility correlation. The weight degree-degree correlation is also studied in the thesis.