Knowledge-transfer analysis based on co-citation clustering

Xuezhao Wang (), Yajuan Zhao, Rui Liu and Jing Zhang
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Xuezhao Wang: National Science Library, Chinese Academy of Sciences
Yajuan Zhao: National Science Library, Chinese Academy of Sciences
Rui Liu: Institute of Physics, Chinese Academy of Sciences
Jing Zhang: National Science Library, Chinese Academy of Sciences

Scientometrics, 2013, vol. 97, issue 3, No 19, 859-869

Abstract: Abstract Based on co-citation cluster analysis, we propose a knowledge-transfer analysis model for any technology field. In this model, patent data with backward citations to non-patent literature and forward citations by later patents would be analyzed. Co-citation clustering of the cited articles defines scientific knowledge sources, while that of the patents themselves defines technology fronts. According to the citation between the article and patent clusters, the landscape of knowledge-transfer including route and strength between scientific knowledge sources and technology fronts can be mapped out. The model has been applied to the field of transgenic rice. As a result of the analysis, ten scientific knowledge sources and eight technology fronts have emerged, and reasonable links between them have been established, which clearly show how knowledge has been transferred in this field.

Keywords: Knowledge-transfer; Co-citation; Cluster analysis; Transgenic rice (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s11192-013-1077-6

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