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Complex network analysis of three-way decision researches

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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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Acknowledgements

The authors would like to thank Professor Yao Yiyu for his valuable comments and suggestions on the preliminary draft. This work was supported by the National Natural Science Foundation of China (Nos. 11947041 and 11971211).

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  1. Data Science Research Center, Kunming University of Science and Technology, Kunming, 650500, Yunnan, People’s Republic of China

    Bo Yang & Jinhai Li

  2. Faculty of Science, Kunming University of Science and Technology, Kunming, 650500, Yunnan, People’s Republic of China

    Bo Yang & Jinhai Li

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Yang, B., Li, J. Complex network analysis of three-way decision researches. Int. J. Mach. Learn. & Cyber. 11, 973–987 (2020). https://doi.org/10.1007/s13042-020-01082-x

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