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Key nodes mining in the inventor–author knowledge diffusion network

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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.

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Acknowledgements

The authors appreciate the editor and the anonymous reviewers for their insightful comments and constructive suggestions. This study was supported by National Natural Science Foundation of China (Nos. 71804091, 71701078 and 91646105). This study was also funded by Humanities and Social Sciences Foundation of the Ministry of Education of China (No. 18YJC630237). This study was also funded by a grant from the University Scientific Research Plan Projects of Shandong Province (Nos. J18KA342 and J18RA049). This study was also funded by Social Science Foundation of the University of Jinan (Nos. 18YY02 and 17YB06).

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Authors and Affiliations

  1. School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250014, China

    Guijie Zhang

  2. School of Management, Harbin Institute of Technology, Harbin, 150001, China

    Luning Liu

  3. Business School, University of Jinan, Jinan, 250002, China

    Fangfang Wei

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  1. Guijie Zhang
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  2. Luning Liu
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  3. Fangfang Wei
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Correspondence to Guijie Zhang or Fangfang Wei.

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Zhang, G., Liu, L. & Wei, F. Key nodes mining in the inventor–author knowledge diffusion network. Scientometrics 118, 721–735 (2019). https://doi.org/10.1007/s11192-019-03005-2

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