Skip Navigation
Skip to contents

J Korean Acad Nurs : Journal of Korean Academy of Nursing

Search
Advanced Search
OPEN ACCESS
mobile search button mobile menu button

Articles

Page Path
HOME > J Korean Acad Nurs > Volume 41(5); 2011 > Article
Original Article
A Social Network Analysis of Research Topics in Korean Nursing Science
Soo-Kyoung Lee, Senator Jeong, Hong-Gee Kim, Young-Hee Yom
Journal of Korean Academy of Nursing 2011;41(5):623-632.
DOI: https://doi.org/10.4040/jkan.2011.41.5.623
Published online: October 31, 2011

1Researcher, Biomedical Knowledge Engineering Laboratory, Seoul National University, Seoul, Korea.

2Associate Professor, School of Dentistry, Seoul National University, Seoul, Korea.

3Professor, Department of Nursing, Chung-Ang University, Seoul, Korea.

Address reprint requests to: Yom, Young-Hee. Department of Nursing, Chung-Ang University, 221 Heukseok-dong, Dongjak-gu, Seoul 156-756, Korea. Tel: +82-2-820-5700, Fax: +82-2-824-7961, yhyom@cau.ac.kr
• Received: January 24, 2011   • Accepted: October 24, 2011

© 2011 Korean Society of Nursing Science

  • 21 Views
  • 0 Download
  • 20 Scopus
prev next
Full Article

Download PDF Download PDF

  • Purpose
    This study was done to explore the knowledge structure of Korean Nursing Science.
  • Methods
    The main variables were key words from the research papers that were presented in the Journal of Korean Academy of Nursing and journals of the seven branches of the Korean Academy of Nursing. English titles and abstracts of the papers (n=5,936) published from 1995 through 2009 were included. Noun phrases were extracted from the corpora using an in-house program (BiKE Text Analyzer), and their co-occurrence networks were generated via a cosine similarity measure, and then the networks were analyzed and visualized using Pajek, a Social Network Analysis program.
  • Results
    With the hub and authority measures, the most important research topics in Korean Nursing Science were identified. Newly emerging topics by three-year period units were observed as research trends.
  • Conclusion
    This study provides a systematic overview on the knowledge structure of Korean Nursing Science. The Social Network Analysis for this study will be useful for identifying the knowledge structure in Nursing Science.
  • Keywords: Knowledge; Structure; Nursing; Bibliometrics; Social network analysis
  • 1. Batagelj V, Mrvar A. Pajek: Program for analysis and visualization of large networks. Timeshift-The World in Twenty-Five Years: Ars Electronica. 2004;Retrieved January 24, 2011. 242–251. from http://90.146.8.18/en/archiv_files/20041/FE_2004_batageljmrvar_en.pdf.
  • 2. Barrett EM. What is nursing science? Nursing Science Quarterly. 2002;15:51–60.ArticlePubMed
  • 3. Boyack KW, Klavans R, Börner K. Mapping the backbone of science. Scientometrics. 2005;64:351–374.ArticlePDF
  • 4. Effken J, Gephart S, Bianchi D, Verran J. Correlations of nursing communication network metrics with patient outcomes. Annual Symposium proceedings/AMIA Symposium. AMIA Symposium. 2010;2010:197–201.
  • 5. Estabrooks CA, Winther C, Derksen L. Mapping the field: A bibliometric analysis of the research utilization literature in nursing. Nursing Research. 2004;53:293–303.ArticlePubMed
  • 6. Goh KI, Cusick ME, Valle D, Childs B, Vidal M, Barabási AL. The human disease network. Proceedings of the National Academy of Sciences of the United States of America. 2007;104:8685–8690. doi: 10.1073/pnas.0701361104.ArticlePubMedPMC
  • 7. He Q. Knowledge discovery through co-word analysis. Library Trends. 1999;48(1):133–159.
  • 8. Jang SO. Analysis of research papers published in the Journal of Korean Academy of Nursing by the classification of knowing in nursing. Journal of Korean Academy of Nursing. 2005;35:206–212.PubMed
  • 9. Jeong S, Kim HG. Intellectual structure of biomedical informatics reflected in scholarly events. Scientometrics. 2010;85:541–551.ArticlePDF
  • 10. Jeong S, Lee SK, Kim HG. Knowledge structure of Korean medical informatics: A social network analysis of articles in journal and proceedings. Healthcare Informatics Research. 2010;16:52–59.ArticlePubMedPMC
  • 11. Kang HC. Last 3 years (1999-2001) Journal of nursing for the use of statistical techniques for analysis. Journal of Korean Academy of Nursing. 2002;32:929–935.
  • 12. Kim JI, Park SM, Park HS, Chung CW, Ahn SH. Analysis of published papers and their keywords in the Korean Journal of Women Health Nursing (2003-2006). Korean Journal of Women Health Nursing. 2007;13:51–59.ArticlePDF
  • 13. Kim SJ, Kim KB, Yi MS, Lee KJ, Ahn YH, Kim HS, et al. The trends of nursing research in the journals of seven branches of the Korean Academy of Nursing. Journal of Korean Academy of Nursing. 2002;32:114–130.ArticlePDF
  • 14. Kleinberg J. Authoritative sources in a hyperlinked environment. Journal of the ACM. 1999;46:604–632.Article
  • 15. Lee MA, Yom YH. A comparative study of patients' and nurses' perceptions of the quality of nursing services, satisfaction and intend to revisit the hospital: A questionnaire survey. International Journal of Nursing Studies. 2007;44:545–555.ArticlePubMed
  • 16. McCloskey Dochterman J, Bulechek G. Nursing interventions classification (NIC). 2004;4th ed.St. Louis, MO, Mosby.
  • 17. Park JS, Park CJ. An analysis of nursing research on pain reported in Korea from 1970 to 1994. Journal of Korean Academy of Nursing Administration. 1995;25:30–44.ArticlePDF
  • 18. Roh KH. A review of the trends of journal research on dementia and nursing interventions for demented elders. Journal of Korean Academy of Community Health Nursing. 2008;19:300–309.
  • 19. Salton G. Developments in automatic text retrieval. Science. 1991;253(5023):974–980.ArticlePubMed
  • 20. Scott J. Social network analysis. Sociology. 1988;22(1):109–127. doi: 10.1177/0038038588022001007.ArticlePDF
  • 21. Seomun GA, Koh MS, Kim IA. Classification of keywords of the papers from the Journal of Korean Academy of Nursing Administration (2002-2006). Journal of Korean Academy of Nursing Administration. 2007;13:118–122.
  • 22. Shin HS, Hyun MS, Ku MO, Cho MO, Kim SY, Jeong JS, et al. Analysis of research papers published in the Journal of the Korean Academy of Nursing-focused on research trends, intervention studies, and level of evidence in the research. Journal of Korean Academy of Nursing. 2010;40:139–149.ArticlePubMed
  • 23. Sohng KY, Kim JI, Choi DW, Kim AK, Chaung SK, Kim KH, et al. Research trends in the Journal of Korean Academy of Fundamental Nursing. Journal of Korean Academy of Fundamentals of Nursing. 2008;15:262–273.
  • 24. Suh YO, Park JS, Yang JH, Kim HW, Suk MH, Shin HS, et al. Analysis of research papers published in the Journal of Korean Academy of Nursing. Journal of Korean Academy of Nursing. 2007;37:1013–1019.ArticlePubMedPDF
  • 25. Wilkinson DM, Huberman BA. A method for finding communities of related genes. Proceedings of the National Academy of Sciences of the United States of America. 2004;101:Suppl 1. 5241–5248. doi: 10.1073/pnas.0307740100.ArticlePubMedPMC
Figure 1
The process of analysis of research topics in korean nursing science.
jkan-41-623-g001.jpg
Figure 2
Topic clustering (Tf 10; n=126; cosine≥0.15; k-component1; component=9).
jkan-41-623-g002.jpg
Figure 3
The kth nearest neighbors analysis of 'elderly people' topic.
jkan-41-623-g003.jpg
Table 1
Research Journals and Information Service (URL) (N=5,936)
jkan-41-623-i001.jpg

*Log-in required.

Table 2
Newly Emerging Research Topics in Korean Nursing Science (Top 2% of frequently occurring terms in a 3-year phase)
jkan-41-623-i002.jpg

Figure & Data

REFERENCES

    Citations

    Citations to this article as recorded by  

      • Cite
        CITE
        export Copy Download
        Close
        Download Citation
        Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.
        Format:
        • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
        • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
        Include:
        • Citation for the content below
        A Social Network Analysis of Research Topics in Korean Nursing Science
        J Korean Acad Nurs. 2011;41(5):623-632.   Published online October 31, 2011
        DOI: https://doi.org/10.4040/jkan.2011.41.5.623
        Close
      • XML DownloadXML Download
      Figure
      • 0
      • 1
      • 2
      We recommend
      Related articles
      A Social Network Analysis of Research Topics in Korean Nursing Science
      Image Image Image
      Figure 1 The process of analysis of research topics in korean nursing science.
      Figure 2 Topic clustering (Tf 10; n=126; cosine≥0.15; k-component1; component=9).
      Figure 3 The kth nearest neighbors analysis of 'elderly people' topic.

      Figure 1

      Figure 2

      Figure 3

      A Social Network Analysis of Research Topics in Korean Nursing Science

      Research Journals and Information Service (URL) (N=5,936)

      *Log-in required.

      Newly Emerging Research Topics in Korean Nursing Science (Top 2% of frequently occurring terms in a 3-year phase)
      Table 1 Research Journals and Information Service (URL) (N=5,936)

      *Log-in required.

      Table 2 Newly Emerging Research Topics in Korean Nursing Science (Top 2% of frequently occurring terms in a 3-year phase)

      Table 1

      Table 2

      J Korean Acad Nurs : Journal of Korean Academy of Nursing
      © Korean Society of Nursing Science.
      Close layer
      TOP