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Network structural analysis of technology: a study from patent perspective

Network structural analysis of technology: a study from patent perspective Purpose – The purpose of this paper is to analyze the network structure of technology in and between different fields, as well as the evolution of their relations. Design/methodology/approach – Using the patent data in Derwent Innovation Index (DII) from 1991 to 2010, this paper analyzes the co‐classification of Derwent Manual Code (DMC) of patents in all technology fields. Large‐scaled co‐classification matrices are employed to generate the DMC co‐classification networks. In addition, analyses are pursued at different levels of aggregation in four five‐year windows: 1991‐1995, 1996‐2000, 2001‐2005 and 2006‐2010. Using Girvan‐Newman algorithm in the clustering process, the structure transformations over time are detected. Findings – The paper identifies the key technological knowledge in certain fields and finds out how different technological fields are connected and integrated. What is more, the dynamic evolution between networks in different time periods reveals the trend of generic technology development in the macroscopic level. Originality/value – The paper investigates a large quantity of data – all the patent data in DII from 1991 to 2010 in this paper. The paper applies Girvan‐Newman algorithm in the co‐classification analysis and uses co‐classification networks to reveal technology network structures. Evolution coincident with the realistic technological shifts can be observed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Science and Technology Policy in China Emerald Publishing

Network structural analysis of technology: a study from patent perspective

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Publisher
Emerald Publishing
Copyright
Copyright © 2013 Emerald Group Publishing Limited. All rights reserved.
ISSN
1758-552X
DOI
10.1108/JSTPC-01-2013-0001
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to analyze the network structure of technology in and between different fields, as well as the evolution of their relations. Design/methodology/approach – Using the patent data in Derwent Innovation Index (DII) from 1991 to 2010, this paper analyzes the co‐classification of Derwent Manual Code (DMC) of patents in all technology fields. Large‐scaled co‐classification matrices are employed to generate the DMC co‐classification networks. In addition, analyses are pursued at different levels of aggregation in four five‐year windows: 1991‐1995, 1996‐2000, 2001‐2005 and 2006‐2010. Using Girvan‐Newman algorithm in the clustering process, the structure transformations over time are detected. Findings – The paper identifies the key technological knowledge in certain fields and finds out how different technological fields are connected and integrated. What is more, the dynamic evolution between networks in different time periods reveals the trend of generic technology development in the macroscopic level. Originality/value – The paper investigates a large quantity of data – all the patent data in DII from 1991 to 2010 in this paper. The paper applies Girvan‐Newman algorithm in the co‐classification analysis and uses co‐classification networks to reveal technology network structures. Evolution coincident with the realistic technological shifts can be observed.

Journal

Journal of Science and Technology Policy in China – Emerald Publishing

Published: Oct 4, 2013

Keywords: Social network analysis; Generic technology; Girvan‐Newman algorithm; Patent analysis; Patent co‐classification

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