Abstract
As a crucial link in the survival and development of enterprises nowadays, supply chain finance covers all aspects of enterprises and financial institutions. This study is dedicated to using techniques such as big data mining, mathematical modeling, industry standard definition and visualization analysis to apply the relationship between enterprises and each enterprise into a weighted directed network, determine credit rating weights using entropy weight method and TOPSIS, and monitor the information changes of enterprises in real time. With the relationship as the core, we collect and integrate enterprise credit information by means of feature extraction and graph construction, early warning risks, visualize and present complex business relationships, accurately supervise and serve the collateral and pledges by means of information technology, and timely grasp the operation status of goods and commodity price fluctuations staring the market, and visualize and present complex business relationships.
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