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Dongjun Chung 2 Articles
Keywords Network Analysis of Articles in the North Korean Journal of Preventive Medicine 1997~2006.
Minsoo Jung, Dongjun Chung, Mankyu Choi
J Prev Med Public Health. 2008;41(6):365-372.
DOI: https://doi.org/10.3961/jpmph.2008.41.6.365
  • 5,162 View
  • 102 Download
  • 6 Crossref
AbstractAbstract PDF
OBJECTIVES
There are very few researches on North Korea's academic activities. Furthermore, it is doubtful that the available data are reliable. This study investigated research activities and knowledge structure in the field of Preventive Medicine in North Korea with a network analysis using co-authors and keywords. METHODS: The data was composed of the North Korean Journal of preventive medicine ranged from Vol. 1 of 1997 to Vol. 4 of 2006. It was the matrix of 1,172 articles by 1,567 co-authors. We applied R procedure for keywords abstraction, and then sought for the outcome of network forms by spring-KK and shrinking network. RESULTS: To comprehend the whole networks explicitly demonstrated that the academic activities in North Korea's preventive medicine were predisposed to centralization as similar as South Korea's, but on the other aspect they were prone to one-off intermittent segmentation. The principal co-author networks were formulated around some outstanding medical universities seemingly in addition to possible intervention by major researchers. The knowledge structure of network was based on experimentation judging from keywords such as drug, immunity, virus detection, infection, bacteria, anti-inflammation, etc. CONCLUSIONS: Though North Korea is a socialist regime, there were network of academic activities, which were deemed the existence of inducive mechanism affordable for free research. Article keywords has laid greater emphasis on experiment-based bacterial detection, sustainable immune system and prevention of infection. The kind of trend was a consistent characteristic in preventive medicine of North Korea having close correlation with Koryo medical science.
Summary

Citations

Citations to this article as recorded by  
  • Frequently covered diseases in North Korean internal medicine journal Internal Medicine [Naegwa]—Secondary publication
    Shin Ha, Yo Han Lee
    Science Editing.2019; 6(2): 99.     CrossRef
  • Systematic review of evidence on public health in the Democratic People’s Republic of Korea
    John J Park, Ah-Young Lim, Hyung-Soon Ahn, Andrew I Kim, Soyoung Choi, David HW Oh, Owen Lee-Park, Sharon Y Kim, Sun Jae Jung, Jesse B Bump, Rifat Atun, Hee Young Shin, Kee B Park
    BMJ Global Health.2019; 4(2): e001133.     CrossRef
  • An Analysis of Infectious Disease Research Trends in Medical Journals From North Korea
    Do-Hyeon Park, Min-Ho Choi, Ah-Young Lim, Hee Young Shin
    Journal of Preventive Medicine and Public Health.2018; 51(2): 109.     CrossRef
  • Bibliometric and content analysis of medical articles in the PubMed database published by North Korean authors from 1997 to July 2017
    Geum Hee Jeong, Sun Huh
    Science Editing.2017; 4(2): 70.     CrossRef
  • Bibliometric Investigation on Preventive Medicine in North Korea
    Minsoo Jung
    The Health Care Manager.2013; 32(3): 253.     CrossRef
  • South Korean Study in a Public Health -Preventive Medicine and Sports Environment-
    Dan Silviu Radut, You Jin Kim, Byung Nam Min, Ki Jeoung Cho, Jong Young Lee
    Journal of Preventive Medicine and Public Health.2009; 42(4): 209.     CrossRef
Co-author and Keyword Networks and their Clustering Appearance in Preventive Medicine Fields in Korea: Analysis of Papers in the Journal of Preventive Medicine and Public Health, 1991~2006.
Minsoo Jung, Dongjun Chung
J Prev Med Public Health. 2008;41(1):1-9.
DOI: https://doi.org/10.3961/jpmph.2008.41.1.1
  • 5,399 View
  • 75 Download
  • 16 Crossref
AbstractAbstract PDF
OBJECTIVES
This study evaluated knowledge structure and its effect factor by analysis of co-author and keyword networks in Korea's preventive medicine sector. METHODS: The data was extracted from 873 papers listed in the Journal of Preventive Medicine and Public Health, and was transformed into a co-author and keyword matrix where the existence of a 'link' was judged by impact factors calculated by the weight value of the role and rate of author participation. Research achievement was dependent upon the author's status and networking index, as analyzed by neighborhood degree, multidimensional scaling, correspondence analysis, and multiple regression. RESULTS: Co-author networks developed as randomness network in the center of a few high-productivity researchers. In particular, closeness centrality was more developed than degree centrality. Also, power law distribution was discovered in impact factor and research productivity by college affiliation. In multiple regression, the effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. However, the number of listed articles varied by sex. CONCLSIONS: This study shows that the small world phenomenon exists in co-author and keyword networks in a journal, as in citation networks. However, the differentiation of knowledge structure in the field of preventive medicine was relatively restricted by specialization.
Summary

Citations

Citations to this article as recorded by  
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    Epidemiology and Health.2018; 40: e2018033.     CrossRef
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    Allan Pau, Hanan Omar, Saad Khan, Ammar Jassim, Liang Lin Seow, Chooi Gait Toh
    Singapore Dental Journal.2017; 38: 45.     CrossRef
  • Keyword network analysis in stem cell research area
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    Journal of Biomedical Translational Research.2017; 18(3): 75.     CrossRef
  • The Characteristic Analysis of Researches Network for Journal of Korean Neuropsychiatric Association
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    Journal of Korean Neuropsychiatric Association.2015; 54(4): 418.     CrossRef
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    Hae-Lan Jang
    The Journal of the Korea Contents Association.2015; 15(10): 387.     CrossRef
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    Haeran Jang, Ji-Young An
    Healthcare Informatics Research.2014; 20(3): 216.     CrossRef
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    Ji-Young An, Haeran Jang, Jinkyung Paik
    Journal of Korea Multimedia Society.2014; 17(8): 995.     CrossRef
  • A Case Analysis on Safety Researcher Relationship during 2011-2013
    Byounghak Yang
    Journal of the Korea Safety Management and Science.2014; 16(4): 247.     CrossRef
  • Social Network Analysis and Its Applications for Authors and Keywords in the JKSS
    Jong-Goen Kim, Soon-Kuek Choi, Yong-Seok Choi
    Communications for Statistical Applications and Methods.2012; 19(4): 547.     CrossRef
  • Application of Social Network Analysis to Health Care Sectors
    Hae Lan Jang, Young Sung Lee, Ji-Young An
    Healthcare Informatics Research.2012; 18(1): 44.     CrossRef
  • Book Review: Social Networks and Health: Models, Methods, and Applications
    Ji-Young An
    Healthcare Informatics Research.2012; 18(4): 287.     CrossRef
  • Analysis of Papers in the Korean Journal of Applied Statistics by Co-Author Networks Analysis
    M. Lee, M. Park, H. Lee, S. Jin
    Korean Journal of Applied Statistics.2011; 24(6): 1259.     CrossRef
  • Co-authorship patterns and networks of Korean radiation oncologists
    Jinhyun Choi, Jin Oh Kang, Seo Hyun Park, Sang Ki Kim
    Radiation Oncology Journal.2011; 29(3): 164.     CrossRef
  • South Korean Study in a Public Health -Preventive Medicine and Sports Environment-
    Dan Silviu Radut, You Jin Kim, Byung Nam Min, Ki Jeoung Cho, Jong Young Lee
    Journal of Preventive Medicine and Public Health.2009; 42(4): 209.     CrossRef
  • Keywords Network Analysis of Articles in the North Korean Journal of Preventive Medicine 1997~2006
    Minsoo Jung, Dongjun Chung, Mankyu Choi
    Journal of Preventive Medicine and Public Health.2008; 41(6): 365.     CrossRef
  • Co-author.Keyword Network and its Two Culture Appearance in Health Policy Fields in Korea: Analysis of articles in the Korean Journal of Health Policy and Administration, 1991~2006

    Korean Journal of Health Policy and Administration.2008; 18(2): 86.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health