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Network analysis of scientific collaboration in North Korea
Science Editing Pub Date : 2019-02-20 , DOI: 10.6087/kcse.152
Hyung Wook Choi , Ye Jin Choi , Soon Kim

Purpose: Although North Korea invests in scientific research, few selected research results are published to international journals. However, the latest peaceful political developments around North Korea have increased concerns about how they will support international scientific cooperation. This study aims to analyze the scientific collaboration and intellectual structure of North Korean researchers. Methods: We conducted a co-word analysis with author keywords and author names using the Web of Science records for 1976–2018 to observe the changes in research trends in North Korea. The structure of the median centrality of words and the parallel nearest neighbor clustering methods were used to visualize the results. Results: The analysis of 55 final keywords confirms that the corresponding network is composed of 17 sub-clusters under four areas. As a result of the investigation of 56 final author names, the corresponding network is composed of 15 sub-clusters under four areas. Conclusion: As more accurate information is needed about collaboration partners to ensure successful cooperation, this analysis result can support getting an overview of North Korea’s research community and their research network.

中文翻译:

朝鲜科学合作网络分析

目的:尽管朝鲜对科学研究进行了投资,但很少有选定的研究成果发表在国际期刊上。然而,围绕朝鲜的最新和平政治发展增加了人们对其将如何支持国际科学合作的担忧。本研究旨在分析朝鲜研究人员的科学合作和知识结构。方法:我们使用 1976-2018 年的 Web of Science 记录对作者关键词和作者姓名进行了共词分析,以观察朝鲜研究趋势的变化。使用词的中值中心性结构和并行最近邻聚类方法对结果进行可视化。结果:对55个最终关键字的分析证实,相应的网络由四个区域下的17个子集群组成。通过对 56 个最终作者姓名的调查,相应的网络由四个区域下的 15 个子集群组成。结论:由于需要有关合作伙伴的更准确信息以确保成功合作,因此该分析结果可以帮助了解朝鲜研究界及其研究网络。
更新日期:2019-02-20
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