A supply chain risk identification method of foreign trade e-commerce enterprises based on social network analysis

To improve the efficiency and accuracy of supply chain risk identification, a supply chain risk identification method for foreign trade e-commerce enterprises based on social network analysis is studied. Firstly, obtain supply chain risk indicators for foreign trade e-commerce enterprises and use the LLE-PCA method to reduce the dimensionality of the indicators. Then, using social network analysis method, construct a social network model with different risk indicators interconnected. Finally, degree centrality analysis and proximity centrality analysis are used to obtain the variable values of each indicator in the model, achieving the identification of supply chain risks for foreign trade e-commerce enterprises. The experiment shows that the application of this method for risk identification takes 0.25 s, with a recognition accuracy of 82%. It has high recognition efficiency and accuracy, and the application effect is good.