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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Korean Council of Science Editors
2019-02-01
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Online Access: | http://www.escienceediting.org/upload/kcse-152.pdf |
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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 |
work_keys_str_mv |
AT hyungwookchoi networkanalysisofscientificcollaborationinnorthkorea AT yejinchoi networkanalysisofscientificcollaborationinnorthkorea AT soonkim networkanalysisofscientificcollaborationinnorthkorea |
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1721174880029769728 |