Analysis of Corporate Community of Interest Relationships in Combination with Multiple Network

Visualizing the complex relationship among enterprises is ponderable to help enterprises and institutions to find potential risks. Small and medium-size enterprises’ (SMEs) loans have higher risk and non-performing rates than other types of enterprises, which are prone to form the complex relationship. Nowadays, the analysis of enterprises’ relationships networks mainly focus on the guaranteed relationships among enterprises, but it lacks the holistic analysis of the enterprise community of interest. To address these issues, the concepts of the enterprise community of interest and the investment model withing enterprise community of interest are proposed; The centrality, density, and network diameter algorithms in graph theory are used to evaluate the network of enterprise community of interest; The problem of graph isomorphism are used to query the network of users interested enterprises’ relationships; The portrait of enterprise is used to evaluate the enterprise community of interest; In the end, we study the impact of debt relationship among enterprise community of interest. Based on these ideas, to verify the effectiveness of the method, an enterprise relationship network analysis system which included 6745 enterprise nodes and 7435 enterprise relationship data of Shanghai is developed.