Identifying Knowledge Structure of Patent and Innovation Research
Ichiro Sakata, Hajime Sasaki, Yuya Kajikawa
日本知財学会誌 Vol.8 No.2 p.56-67 (2019-1-20)
Journal of Intellectual Property Association of Japan Vol.8 No.2 p.56-67（2012-1-20）
The global intellectual property system is currently being revolutionized by changes in innovation and the quantitative expansion in patenting. There is an expectation of applying the results of academic patents studies to the reformation of the intellectual property system. On the other hand, the rapid quantitative expansion in academic knowledge is posing difficulties for the application of conventional techniques to extract required knowledge or apply a suitable synthesis. This article has the purpose of effective implementation of large volumes of knowledge for policy formation and examines the methodology for identifying academic growth fronts, important research domains or comprehension of the academic landscape. We conducted a panoramic analysis of intellectual property rights (IPR) researches in the work published from 1956 through citation network analysis. As a result, 3,833 academic papers were extracted as the largest connected component of the network of IPR. We specified five main clusters and twenty-five sub-clusters in the network. Through a time series analysis, we identified young or recently growing research fields. Our findings prove that the citation network analysis allows us to accurately and comprehensively detect papers discussing important issues in the area of intellectual property rights and innovation.
Intellectual Property system, Citation Network Analysis, Academic Landscape