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.

中文翻译：

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三向决策研究的复杂网络分析

在本文中，复杂网络用于分析2019年12月18日之前发布并从ISI Web of Science下载的三项决策文章的数据集。构建科学合作网络，大学合作网络，科学论文网络（即引文网络，书目耦合网络，共引网络）和关键词网络以分别揭示作者，单位，论文和关键词之间的关系。获得了一些有趣的结果，并用于回答以下问题：（1）哪些作者在制定三路决策中起关键作用；（2）哪些隶属关系积极地促进了三向决策的发展；（3）在三方决策领域中哪些论文重要或有影响力；