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Key nodes mining in the inventor–author knowledge diffusion network

Guijie Zhang (), Luning Liu () and Fangfang Wei ()
Additional contact information
Guijie Zhang: Shandong University of Finance and Economics
Luning Liu: Harbin Institute of Technology
Fangfang Wei: University of Jinan

Scientometrics, 2019, vol. 118, issue 3, No 1, 735 pages

Abstract: 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.

Keywords: Knowledge diffusion; Key nodes mining; Inventor–author network; Patent citation (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11192-019-03005-2

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