The network of Chinese university patents cited by industrial patents:Taking Tsinghua University as an example

Ma Yanyan; Liu Fengchao; Sun Yutao

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Science Research Management ›› 2012 ›› Issue (6) : 92-99.

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The network of Chinese university patents cited by industrial patents:Taking Tsinghua University as an example

Ma Yanyan¹, Liu Fengchao², Sun Yutao²

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Abstract

Patent citation is an important mechanism for technology or knowledge spillover. The introduction of network topology analysis is conduced to understand the structure of patent citation network and reveal the rules of technology or knowledge flow in the patent citation process. The relevant data were retrieved in the USPTO. These data were used to build the citation network of Tsinghua University patents cited by Chinese and foreign industrial patents. Social network analysis was used to measure the characteristic path length, clustering coefficient, and network centrality of patent citation network. The characteristic path length of patent citation network is short. The clustering coefficient of patent citation network is high. There is a significant small-world phenomenon in the citation network of Tsinghua University patents cited by industrial patents. The centrality distributions of patent citation network show that a few key patents have more connections than the others. The network centrality meets power-law distribution.

Key words

patent citation / small world network / scale-free network / Tsinghua University

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Ma Yanyan, Liu Fengchao, Sun Yutao. The network of Chinese university patents cited by industrial patents:Taking Tsinghua University as an example[J]. Science Research Management. 2012(6): 92-99

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