Study on Evolutionary Characteristics of Global Commodity Trade Network Based on Social Network Analysis Algorithms

The restructuring of trade networks will not only have a significant impact on international industrial division of labor and the distribution of foreign trade interests among countries, but also promote structural changes in the global competitive landscape. To explore the international trade pattern and evolution path is of great significance for China to take the initiative and actively seize the opportunities brought by the restructuring of the trade network, and promote the healthy and sustainable development of industries. This paper collects trade data from various countries from the CEPII-BACI database from 2000 to 2022, constructs a global trade network, and uses Stata analysis software to analyze the overall characteristics, network stability, network heterogeneity, and other indicators of the trade network, in order to evaluate the evolutionary characteristics of the global commodity trade network.