Evolution Analysis of Foreign Trade Network Structructure Based on Complex Network SNA

Since the 21st century, international trade has developed rapidly, and the complicated trade relations among countries have formed a trade network. We use (SNA), which is based on topology, to analyze the characteristics and influencing factors of China's position evolution in the global service trade network by calculating network density, degree centrality, network diameter, clustering coefficient and other network indicators. It is helpful to correctly understand the gap of influence between China and other countries in global service trade, and to clarify the direction for the development of China's service trade in the future. Based on the World Bank Service Trade Database of 180 countries in 2005, 2009 and2015, this paper constructs a global service trade network model, and studies the influencing factors of the position change of countries in global service trade network. It is found that China's foreign trade network is stable, but itscondensed subgroup is gradually transferred from the core position to the semi-core position under the influence of the financial crisis. China's service trade flow is large, but the trade relationship is insufficient. The relationship between countries in service trade and trade volume choice is negatively correlated with the geographical distance between countries and adjacent areas of land. They are also members of WTO, and there is a significant positive correlation amongregional service trade agreements.