Measuring Technological Collaboration on Blockchain Based on Patents: A Social Network Analysis Approach

Abstract

Blockchain has been regarded as an emerging global phenomenon in the field of new technologies. However, the existing literature still lacks descriptions of the cooperation characteristics and innovation landscape of blockchain. This study uses the social network analysis method to compare the development of blockchain technology and technological collaboration in China and in the United States based on patent data. Our analyses suggest that the number of blockchain patent applications in China is increasing rapidly due to the Chinese Government developing consistent national strategies for blockchain technology. In all, both countries have notable agglomerations in a few geographical areas or cities. However, the university or enterprise block in the United States has broader and deeper cooperation, unlike the Chinese university or enterprise block, which is more inclined to cooperate within blocks and has more isolated blocks. Lastly, there are various patent attributes-influencing factors behind the importance of node cooperation. The results show that the degree of cooperation of cooperative inventors or important patents is greater in China’s cooperation network, while in the United States, the influence of enterprises rather than universities or individuals is greater.