Keyword-citation-keyword network: A new method for discipline knowledge structure analysis

Wang, Jiamin; Cheng, Qikai; Lu, Wei

Permalink

https://hdl.handle.net/2142/103361 Copy

Description

Title

Keyword-citation-keyword network: A new method for discipline knowledge structure analysis

Author(s)

• Wang, Jiamin
• Cheng, Qikai
• Lu, Wei

Issue Date

2019-03-15

Keyword(s)

• Keyword-citation-keyword network
• Co-word network
• Knowledge structure
• Mapping knowledge domain

Abstract

As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain and discover the discipline knowledge structure based on the co-occurrence relationship between keywords in articles. In view of the problem existed in the traditional methods that the importance of keywords is not distinguished by the article and the co-occurrence of keywords is limited to the same article, the citation network is combined with the co-word analysis in this paper and a Keyword-Citation-Keyword (KCK) network is constructed. Then an empirical study is conducted in the computer science domain and the Mapping Knowledge Domain is generated by Gephi. The results indicate that compared with the traditional co-word network, the proposed method not only shows a better clustering performance but also discovers the important intellectual structure.

Publisher

iSchools

Series/Report Name or Number

iConference 2019 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/103361

DOI

https://doi.org/10.21900/iconf.2019.103361

Copyright and License Information

Copyright 2019 Jiamin Wang, Qikai Cheng, and Wei Lu

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