SCALE-FREE CHARACTERISTICS ANALYSIS OF STOCK INVESTMENT NETWORKS IN CHINA

摘要

This paper investigates the scale-free characteristics of Chinese stock network which includes Shenzhen stock network and ShangHai stock network. We analyze characteristics of the growth and preferential attachment of stock networks. In particular, we study other three important properties of stock networks, such as the rapid communication, robustness and clustering. Through empirical theory and numerical study, we find that the two stock networks have not scale-free characteristics, which is different to many real complex networks.