This book offers a comprehensive analysis of joint applications of patents from the EU, Japan and the USA, which directly signify collaborations between companies or inventors. It includes models that predict the probability of new connections.
This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the structures of co-patenting networks. In addition, generative models in network science estimate the probability of new connections between nodes, which enables us to discuss the temporal development of networks. On the other hand, regression analyses, which are broadly used in the field of economics, may be effective for determining what attributes are important for firms and inventors that are going to be connected, but such techniques cannot consider the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that were published in eight academic journal articles. This book gives the reader ideas about how we can utilize patent data to understand how firms and inventors collaborate under the effect of complex networks.
Within the methodology of network science, comprehensively analyses the co-patenting in Japan and the U.S. that directly signifies collaborations between firms and inventors
Reveals the geographical and temporal characteristics and community structures of the co-patenting network
Provides models that estimate the probability of new connections between firms and inventors