Research on geo-relationship network and competing (or mutually beneficial) relationship network of Chinese textile enterprises

In this paper, two textile industrial clusters's complex networks of China are established according to public data published by the China council for the promotion of international trade (CCPIT). Both the geo-relationship network and the competing (mutually beneficial) relationship network of all 2,436 textile firms (enterprises) in China are constructed and analyzed. The category including cotton spinning, knitting, fiber, nonwovens, printing and dyeing cloth, garments, home textiles, wool, silk, linen, textile machinery, all together there are 11 different industries clusters. Based on network analysis of these clusters' mathematical characteristics, some strategies for improving the development of China's textile industry are provided. Networks' community analysis and its economic significance are also provided for optimizing the product distribution of different textile firms (enterprises) in China.