Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

• Main Authors: Weiwei Liu, Yuan Tao, Zhile Yang, Kexin Bi
• Format: Article
• Language: English
• Published: MDPI AG 2019-01-01
• Series: Sustainability
• Subjects: patent collaboration network; smart grids (SGs); network characteristics; network structure; social network analysis (SNA)
• Online Access: http://www.mdpi.com/2071-1050/11/2/465

Smart grids (SGs) have been widely recognized as an enabling technology for delivering sustainable energy transitions. SGs have a positive effect on the development of the world economy and society. SG construction plays an important role in responding to global climate change and promoting the sustainable development of the world economy and society. Under such a background, this paper attempts to investigate patent collaborations of the SG field in China. Based on the application data of collaborative patents from State Intellectual Property Office (SIPO) in China, this study employs complex network theory and social network analysis (SNA) method and conducts in-depth research on the patent collaboration network of SG field in China. The trend of patent collaboration was examined, the collaboration network of SG-related patents was investigated, the network characteristics, and the network structure were also explored. The results show that the proportion of enterprises participating in patent collaboration is relatively large for SG field in China, the percentage of collaboration relationships formed by different patent applicants varies greatly, and that the State Grid Corporation of China (SGCC) plays an important role in patent collaboration in SG field currently. It can also be found that patent collaboration is an effective form of cooperative innovation among different entities. Finally, three suggestions are provided in response to the existing problems.