Patent citation network in nanotechnology (1976–2004) |
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Authors: | Xin Li Hsinchun Chen Zan Huang Mihail C Roco |
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Institution: | (1) Artificial Intelligence Lab, Department of Management Information Systems, Eller College of Management, The University of Arizona, Tucson, AZ 85721, USA;(2) Department of Supply Chain and Information Systems, Smeal College of Business, The Pennsylvania State University, University Park, PA 16802, USA;(3) National Science Foundation, 4201 Wilson Blvd, Arlington, VA 22230, USA |
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Abstract: | The patent citation networks are described using critical node, core network, and network topological analysis. The main objective
is understanding of the knowledge transfer processes between technical fields, institutions and countries. This includes identifying
key influential players and subfields, the knowledge transfer patterns among them, and the overall knowledge transfer efficiency.
The proposed framework is applied to the field of nanoscale science and engineering (NSE), including the citation networks
of patent documents, submitting institutions, technology fields, and countries. The NSE patents were identified by keywords
“full-text” searching of patents at the United States Patent and Trademark Office (USPTO). The analysis shows that the United
States is the most important citation center in NSE research. The institution citation network illustrates a more efficient
knowledge transfer between institutions than a random network. The country citation network displays a knowledge transfer
capability as efficient as a random network. The technology field citation network and the patent document citation network
exhibit a␣less efficient knowledge diffusion capability than a random network. All four citation networks show a tendency
to form local citation clusters. |
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Keywords: | citation networks knowledge discovery knowledge transfer nanoscale science and engineering (NSE) nanotechnology patent analysis topological analysis |
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