Network analysis of scientific collaboration in North Korea

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 st...

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Main Authors: Hyung Wook Choi, Ye Jin Choi, Soon Kim
Format: Article
Language:English
Published: Korean Council of Science Editors 2019-02-01
Series:Science Editing
Subjects:
Online Access:http://www.escienceediting.org/upload/kcse-152.pdf
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spelling doaj-5bc9437994604142940d58a7b1128bf92021-09-02T13:36:12ZengKorean Council of Science EditorsScience Editing2288-80632288-74742019-02-0161253410.6087/kcse.152158Network analysis of scientific collaboration in North KoreaHyung Wook Choi0Ye Jin Choi1Soon Kim2 Department of Library and Information Science, Ewha Womans University, Seoul, Korea Department of Library and Information Science, Ewha Womans University, Seoul, Korea Research Institute for Social Science, Ewha Womans University, Seoul, KoreaPurpose 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.http://www.escienceediting.org/upload/kcse-152.pdfCo-word analysisNetwork analysisNorth KoreaScientific collaborationScholarly communication analysis
collection DOAJ
language English
format Article
sources DOAJ
author Hyung Wook Choi
Ye Jin Choi
Soon Kim
spellingShingle Hyung Wook Choi
Ye Jin Choi
Soon Kim
Network analysis of scientific collaboration in North Korea
Science Editing
Co-word analysis
Network analysis
North Korea
Scientific collaboration
Scholarly communication analysis
author_facet Hyung Wook Choi
Ye Jin Choi
Soon Kim
author_sort Hyung Wook Choi
title Network analysis of scientific collaboration in North Korea
title_short Network analysis of scientific collaboration in North Korea
title_full Network analysis of scientific collaboration in North Korea
title_fullStr Network analysis of scientific collaboration in North Korea
title_full_unstemmed Network analysis of scientific collaboration in North Korea
title_sort network analysis of scientific collaboration in north korea
publisher Korean Council of Science Editors
series Science Editing
issn 2288-8063
2288-7474
publishDate 2019-02-01
description 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.
topic Co-word analysis
Network analysis
North Korea
Scientific collaboration
Scholarly communication analysis
url http://www.escienceediting.org/upload/kcse-152.pdf
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AT yejinchoi networkanalysisofscientificcollaborationinnorthkorea
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