Abstract:Based on the importance evaluation of the participants in standard cooperative network, this paper discusses the characteristics and trends of standard cooperative network. Taking China's AI industry technology standard as an example, the paper uses social network analysis to construct the cooperation network in three stages of infancy, growth and maturity, then, based on four evaluation indicators of degree centrality, intermediary centrality, proximity centrality and feature vector centrality, uses the entropy weight TOPSIS method to identify the core subjects in the key development fields of AI industry technical standards, and to analyze the evolution of their types and functions. The result shows that: at present, the development of technical standards of China's AI industry is in the early stage of maturity, the scale of cooperation network continues to expand, and the depth of cooperation needs to be improved; the types of participants in the standard formulation are diversified, the way in which research institutions play a role has evolved from leading to intermediary linkage, and enterprises and universities have become the core subjects in the standard formulation in key development fields and emerging fields of AI industry; China's AI industry standard cooperation network presents a multi-group cross-cutting structure in which China Institute of Electronic Technology Standardization serves as the center, spreading to the surrounding areas, and the enterprise occupies the core dominance.