Analysis of SME Investment Relationships with the Help of Multiple Topology Layouts

By analysing enterprise relationship networks across various dimensions, including enterprise investment relationships, industry affiliations, and risk diffusion, governments and investors can identify correlations between enterprises and mitigate risks in a timely manner. This approach enables government entities and investors to identify the level of interconnectedness between enterprises and proactively mitigate risks. During their development, enterprises require financing to grow, leading to investment relationships that can be both collaborative and antagonistic in nature. Currently, the analysis of enterprises primarily focuses on their economic characteristics, with a lack of multidimensional analysis of enterprise relationships. To address the aforementioned issues, we propose analysing enterprises in a specific region by integrating various dimensions. We use the force-directed and community partition algorithms in 3 dimensions to create clustered views of enterprise communities. In the 2.5 dimension, enterprises are classified into different levels based on their characteristics using spatial location transformations to achieve feature correlation analysis. Finally, a risk diffusion model is implemented based on the mortgage relationships and operational characteristics of enterprises, using a risk diffusion algorithm within a 2 dimensional detailed network. Building upon the aforementioned ideas, we developed a small and medium-sized enterprise investment relationship system using multiple network topology layouts to analyse investment relationships between enterprises. We then verified the effectiveness of our design. The experimental data are mainly from Shanghai, China.