Technological evolutionary trajectories based on patent citation network-By taking data mining domain as example

Science Research Management ›› 2013, Vol. ›› Issue (2): 27-35.

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Technological evolutionary trajectories based on patent citation network-By taking data mining domain as example

Xu Qi^1,2, Gu Xinjian¹, Chen Jixi¹

1. Institute of Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;
2. Laboratory of Mechanotronics Technology, Taizhou Vocational and Technical College, Taizhou 318000, China

Received:2011-08-08 Revised:2012-01-06 Online:2013-02-27 Published:2013-02-28

Abstract

Abstract: Search path link count and search path node pair are applied to calculate the connectivity of citation path and a technological evolutionary trajectory extraction algorithm based on patent citation network is put forward. The 5,073 patents related to data mining which were granted during the period of 1975-1999 from database of United States Patent and Trademark Office are collected. The geographical distribution and annual distribution of the patents are analyzed. By querying the patent data set of NBER to get patent citation relations and the network analysis software of Pajek is used to build a patent citation network. The technological evolutionary trajectories of data mining domain are extracted. The experimental results show that the trajectories include innovation, diffusion, and breakthrough. It is a process combining incremental innovation with fundamental breakthrough. From the perspective of patent content, the top evolutionary path is divided into three sections. The technological development of each section is analyzed based on inheritance and continuity. Finally, the further research work is prospected.

Key words: technological evolutionary trajectory, patent citation network, connectivity analysis, data mining

CLC Number:

G306.0

Xu Qi, Gu Xinjian, Chen Jixi. Technological evolutionary trajectories based on patent citation network-By taking data mining domain as example[J]. Science Research Management, 2013, (2): 27-35.

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Technological evolutionary trajectories based on patent citation network-By taking data mining domain as example

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