Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses

Loet Leydesdorff, Dieter Kogler and Bowen Yan ()
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Bowen Yan: Singapore University of Technology and Design

Scientometrics, 2017, vol. 112, issue 3, No 21, 1573-1591

Abstract: Abstract The Cooperative Patent Classifications (CPC) recently developed cooperatively by the European and US Patent Offices provide a new basis for mapping patents and portfolio analysis. CPC replaces International Patent Classifications (IPC) of the World Intellectual Property Organization. In this study, we update our routines previously based on IPC for CPC and use the occasion for rethinking various parameter choices. The new maps are significantly different from the previous ones, although this may not always be obvious on visual inspection. We provide nested maps online and a routine for generating portfolio overlays on the maps; a new tool is provided for “difference maps” between patent portfolios of organizations or firms. This is illustrated by comparing the portfolios of patents granted to two competing firms—Novartis and MSD—in 2016. Furthermore, the data is organized for the purpose of statistical analysis.

Keywords: Patent; Map; Portfolio; CPC; Diversity; City; Comparisons; SWOT (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (20)

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DOI: 10.1007/s11192-017-2449-0

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