Huaihai economic zone, composed of northern Jiangsu, northern Anhui, eastern Henan and southern Shandong, has been underdeveloped for a long time. Now its development upgrades to a national strategy. Construction of the northern part will promote a co-integrated development of the whole zone. This paper uses gravity model to study the spatial structure of urban group of Huaihai economic zone with its results showing a urban comprehensive quality range from 218.16 to 1 062.58. Xuzhou city has the largest gravity within the zone, but has larger fault point average value with Jiangsu, Shandong and Henan, while smaller with Anhui, indicating a weak radiation of Xuzhou to Anhui's cities. Cities in Huaihai economic zone develop at uneven rates with XuHou as the center but with limited attraction and variable economic attractive force to other cities. Economic exchange and communication in the economic zone need to be improved, not only on Xuzhou's radiation, but also on Linyi and Huaian's diffusion as sub-centers, which boosts the integration of regional economy.

This paper uses complex network theory and methods to analyze the relation of financial institutions and listed mining entities in equity financing by acquiring information from 73 financial institutions and 125 listed mining entities, which is studied from cliques and Kcores of cohesion subgroups among financial institutions by means of Ucinet and Excel. The results show an outstanding convergence in listed mining entities equity financing, and reveals the distribution of subgroups of financial institutions. The financial institutions have a close network connection with up to 121 cliques existing, among them is a highly overlap, but their cores are formed on four large stateowned banks.

This paper studies the complex structural correlation of Chinese listed mining companies based on their main products. A complex structural correlation mode is established from taking the listed mining companies as nodes, and their overlapped main products as conjunctional edge, and is used to analyze their network structural characters through node degree, network degree distribution and concentrating coefficient. The results reveal a complex overall structural correlation, and their industrial positions and mutual correlation, and reflect a relation between nodes. This paper aims at providing reference for mining companies to make decisions and adjustment, to improve their competitiveness, and to reach a fast and effective development.