Abstract: 【Purpose/significance】From the perspective of patent cooperation status and evolution, this paper reveals the re⁃
lationship structures and changes between the main body of technology in the industry and the country or region to which it
belongs.【Method/process】The research framework is constructed with social network analysis. This paper takes the field
of artificial intelligence industry as an example, using the Derwent patent database as the data source to extract data infor⁃
mation about patentees from the obtained patent data. Combined with the technology life cycle in the field of artificial intel⁃
ligence, this paper finally analyzes the stage evolution characteristics of the overall structure and node characteristics of the
patent cooperation network at the institutional and national levels from two dimensions of time and space.【Result/conclu⁃
sion】It is found that the scale of the artificial intelligence patent cooperation network has shown explosive growth, the net⁃
work has evolved in a more connected direction. The patent cooperation network between countries has a small-world ef⁃
fect, the cooperation and exchanges in the industry are more frequent, and the cooperation relationship is getting closer; the
United States is in a leading position in the cooperation network of the artificial intelligence, China and Japan are playing
important roles.