关键词: FTA数字贸易规则网络, 协定深度, 网络传递性, 时态指数随机图模型 

Abstract: This paper analyzes the structural characteristics of the global FTA digital trade rules network on the basis of considering the depth of the agreements，and uses the Temporal Exponential Random Graph Model（TERGM）method to conduct an empirical analysis of the influencing factors of network formation The result shows that： First，there is an overall growing tendency in the density of unweighted and weighted global FTA digital trade network，reflecting the increase in the breadth and depth of participation of countries in the network The European Union，the United States，and Singapore are at the center of the FTA digital trade rules network Second，a clear coreedge structure is formed between the subgroup where the EU is located and other subgroups The subgroup where the United States is located is closely related to the subgroup where China and some ASEAN countries are located，indicating the strong influence of American rules in the AsiaPacific region Third，the empirical analysis based on TERGM confirms the role of network transitivity in promoting the formation of global FTA digital trade rules network structure This provides a policy basis for China to positively respond to the spread of American and European FTA rules，accelerate the formation of a model of Chinese FTA digital trade rules and actively promote it globally 

Key words: FTA digital trade rules network, agreement depth, network transitivity, temporal exponential random graph model