Consistency and Trends of Technological Innovations: A Network Approach to the International Patent Classification Data

Classifying patents by the technology areas they pertain is important to enable information search and facilitate policy analysis and socio-economic studies. Based on the OECD Triadic Patent Family database, this study constructs a cohort network based on the grouping of IPC subclasses in the same patent families, and a citation network based on citations between subclasses of patent families citing each other. This paper presents a systematic analysis approach which obtains naturally formed network clusters identified using a Lumped Markov Chain method, extracts community keys traceable over time, and investigates two important community characteristics: consistency and changing trends. The results are verified against several other methods, including a recent research measuring patent text similarity. The proposed method contributes to the literature a network-based approach to study the endogenous community properties of an exogenously devised classification system. The application of this method may improve accuracy and efficiency of the IPC search platform and help detect the emergence of new technologies.

[2]  Kai Zhao,et al.  Urban Pulse: Capturing the Rhythm of Cities , 2016, IEEE Transactions on Visualization and Computer Graphics.

[3]  Carlo Piccardi,et al.  Finding and Testing Network Communities by Lumped Markov Chains , 2011, PloS one.

[4]  M. Trajtenberg,et al.  University Versus Corporate Patents: A Window On The Basicness Of Invention , 1997 .

[5]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[6]  Vetle I. Torvik,et al.  Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010) , 2014 .

[7]  R. Lambiotte,et al.  Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks , 2008, IEEE Transactions on Network Science and Engineering.

[8]  Padmini Srinivasan,et al.  Comparison of IPC and USPC classification systems in patent prior art searches , 2010, PaIR '10.

[9]  Kuei-Kuei Lai,et al.  Using the patent co-citation approach to establish a new patent classification system , 2005, Inf. Process. Manag..

[10]  V. Veefkind,et al.  A new EPO classification scheme for climate change mitigation technologies , 2012 .

[11]  Hélène Dernis,et al.  Triadic Patent Families Methodology , 2004 .

[12]  Cynthia Barcelon-Yang,et al.  Intellectual property management of biosequence information from a patent searching perspective , 2005 .

[13]  Bronwyn H Hall,et al.  Market value and patent citations , 2005 .

[14]  Kevin W. Boyack,et al.  Mapping the structure and evolution of chemistry research , 2009, Scientometrics.

[15]  Z. Griliches,et al.  Citations, Family Size, Opposition and the Value of Patent Rights Have Profited from Comments and Suggestions , 2002 .

[16]  Pasquale Foglia,et al.  Patentability search strategies and the reformed IPC: A patent office perspective , 2007 .

[17]  Kevin W. Boyack,et al.  Mapping the backbone of science , 2004, Scientometrics.

[18]  Byungun Yoon,et al.  A text-mining-based patent network: Analytical tool for high-technology trend , 2004 .

[19]  S. Arts,et al.  Text matching to measure patent similarity , 2018 .