Abstract:     Population ageing is widely seen as a major challenge that drives the future of science and technology (S&T) policy and management in industrialized societies. Under the realistic background of rapid development of population aging, increasing attention is paid to the role of innovation in supporting the aging society. Science, technology and innovation are widely perceived to provide a means for solving the grand challenge of population ageing. Innovations for the elderly are usually referred to as gerontechnologies, which has been acclaimed to be the solution to the problems associated with demographic change. In addition, the acceleration of the global aging population and the highlighting of S&T globalization effectively spurred the demand for international gerontechnological cooperation, and it is urgent to explore the characteristics and influencing factors of the cooperation network. Given that, this paper constructs the international emerging gerontechnology cooperation network based on international patents data mining. In addition, this paper analyzes the topological characteristics, evolution trends and influencing factors of the cooperation networks based on the multi-scale theory of complex networks, which includes the analysis of the overall situation of complex networks, the evolution of cooperation models, and the factors affecting cooperation.The results show that cooperation network presents obvious stage and complex network characteristics at the macro level, the network scale is constantly increasing, the connectivity is enhanced, and there are large differences in the network structure at different stages. As a whole, the cooperative entities develop in a diversified and balanced way, and the cooperative relationships evolve from point-to-point to complex networks. The network size keeps increasing, and the number of nodes and times of cooperation significantly increase, international cooperation in the field of emerging gerontechnology has become more frequent and closer. From the meso-level, the center of the cooperation network gradually transitioned from the initial individual to the main body of Industry-University-Research, and the absolute dominance of the low breadth-low depth cooperation model has gradually weakened, the high breadth-high depth cooperation model has rapidly increased. In addition, cooperation modes between different types of patentees present different evolutionary paths, but the overall cooperation depth and breadth continue to deepen. At the micro level, among the influencing factors of the cooperation network formation, technological innovation ability has no significant influence all the time, while geographical proximity has a significant promotion effect. In addition, the promotion effect of patentee type, cooperation breadth and technology similarity is gradually weakened, while the inhibition effect of technology complementarity is continuously enhanced. Finally, combined with the research conclusions, we put forward some specific suggestions for China′s active participation in global gerontechnological cooperation. The innovation of our paper is to construct the international emerging gerontechnology cooperation network based on patents data mining, including institution cooperation network, technology co-occurrence network, and country-technology two-mode network, and systematically analyzes the overall structural characteristics and formation mechanism. This paper contributes to our understanding of the characteristics and affecting factors of the international gerontechnology cooperation, as well as the decision reference for the R&D innovation of the aging society.