Key nodes mining in the inventor–author knowledge diffusion network

Guijie Zhang; Luning Liu; Fangfang Wei

doi:10.1007/s11192-019-03005-2

Key nodes mining in the inventor–author knowledge diffusion network

Guijie Zhang^*
, Luning Liu
, Fangfang Wei

^*Corresponding author for this work

Shandong University of Finance and Economics
School of Management, Harbin Institute of Technology
University of Jinan

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

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.

Original language	English
Pages (from-to)	721-735
Number of pages	15
Journal	Scientometrics
Volume	118
Issue number	3
DOIs	https://doi.org/10.1007/s11192-019-03005-2
State	Published - 1 Mar 2019
Externally published	Yes

Keywords

Inventor–author network
Key nodes mining
Knowledge diffusion
Patent citation

Access to Document

10.1007/s11192-019-03005-2

Cite this

@article{7bb71b2cce7b472aa2043f84260750e5,

title = "Key nodes mining in the inventor–author knowledge diffusion network",

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{\textquoteright} roles as “bridges” to promote knowledge flow from science and technology journals to technology patents.",

keywords = "Inventor–author network, Key nodes mining, Knowledge diffusion, Patent citation",

author = "Guijie Zhang and Luning Liu and Fangfang Wei",

note = "Publisher Copyright: {\textcopyright} 2019, Akad{\'e}miai Kiad{\'o}, Budapest, Hungary.",

year = "2019",

month = mar,

day = "1",

doi = "10.1007/s11192-019-03005-2",

language = "英语",

volume = "118",

pages = "721--735",

journal = "Scientometrics",

issn = "0138-9130",

publisher = "Springer Nature",

number = "3",

}

TY - JOUR

T1 - Key nodes mining in the inventor–author knowledge diffusion network

AU - Zhang, Guijie

AU - Liu, Luning

AU - Wei, Fangfang

PY - 2019/3/1

Y1 - 2019/3/1

N2 - 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.

AB - 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.

KW - Inventor–author network

KW - Key nodes mining

KW - Knowledge diffusion

KW - Patent citation

UR - https://www.scopus.com/pages/publications/85060178156

U2 - 10.1007/s11192-019-03005-2

DO - 10.1007/s11192-019-03005-2

M3 - 文章

AN - SCOPUS:85060178156

SN - 0138-9130

VL - 118

SP - 721

EP - 735

JO - Scientometrics

JF - Scientometrics

IS - 3

ER -

Key nodes mining in the inventor–author knowledge diffusion network

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this