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Key nodes mining in the inventor–author knowledge diffusion network

Author

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  • Guijie Zhang

    (Shandong University of Finance and Economics)

  • Luning Liu

    (Harbin Institute of Technology)

  • Fangfang Wei

    (University of Jinan)

Abstract

This paper discusses the mining of key nodes from the flow of knowledge in science and technology journals to technology patents at the community level. The knowledge flow network is established with spatial dimensions based on technological patent citations, scientific journals, and cooperation among researchers. The extensity centrality-Newman and commonly used degree indices are applied to isolate the nodes which occupy important positions among communities in the knowledge flow network. Suggestions are proffered accordingly to make full use of the key nodes’ roles as “bridges” to promote knowledge flow from science and technology journals to technology patents.

Suggested Citation

  • Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03005-2
    DOI: 10.1007/s11192-019-03005-2
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