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15-02-2020 | Original Article | Issue 5/2020

International Journal of Machine Learning and Cybernetics 5/2020

Complex network analysis of three-way decision researches

Journal:
International Journal of Machine Learning and Cybernetics > Issue 5/2020
Authors:
Bo Yang, Jinhai Li
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Abstract

In this paper, complex networks are used to analyze the dataset of three-way decision articles published before December 18, 2019 and downloaded from ISI Web of Science. The scientific collaboration network, university collaboration network, networks of scientific papers (i.e., citation network, bibliographic coupling network, co-citation network) and keywords network are constructed to reveal the relationships between authors, affiliations, papers and keywords, respectively. Some interesting results are obtained and used to answer the following questions: (1) which authors play a key role in developing three-way decision; (2) which affiliations actively promote the development of three-way decision; (3) which papers are important or influential in the field of three-way decision; (4) what are the closely related research issues around three-way decision.

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