Abstract:This paper takes the data of Chinese chip industry cooperation patents from 1994 to 2018 as an example, and uses the social network analysis method to analyze the structural characteristics and evolution laws of the chip industry patent cooperation network from static and dynamic perspectives. The research shows that:The cooperative network has obvious core-edge characteristics, the overall network efficiency and synchronization ability is insufficient, the toughness and reliability are low, and the network has no scale characteristics; The overall scale of the network is increasing, but the density is decreasing, the network will be looser; The status of different types of subjects in the cooperation network has significant differences, the influence of enterprises is the highest, universities are second, and research institutions do not have obvious centrality. Therefore, enterprises should give full play to their advantages in information and resources in the network, and cooperate with universities and research institutions; universities should be based on reality, give full play to their advantages in basic theoretical research, seek cooperation with enterprises, and promote the transformation of scientific and technological achievements ; Scientific research institutions should actively cooperate with enterprises and universities, devote themselves to the cooperation network, and enhance their influence.