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A Social Network Analysis of Research Topics in Korean Nursing Science

한국 간호학 연구주제의 사회 연결망 분석

  • Lee, Soo-Kyoung (Biomedical Knowledge Engineering Laboratory, Seoul National University) ;
  • Jeong, Senator (Biomedical Knowledge Engineering Laboratory, Seoul National University) ;
  • Kim, Hong-Gee (School of Dentistry, Seoul National University) ;
  • Yom, Young-Hee (Department of Nursing, Chung-Ang University)
  • 이수경 (서울대학교 의생명지식공학연구실) ;
  • 정상원 (서울대학교 의생명지식공학연구실) ;
  • 김홍기 (서울대학교 치의학대학원) ;
  • 염영희 (중앙대학교 간호학과)
  • Received : 2011.01.24
  • Accepted : 2011.10.24
  • Published : 2011.10.31

Abstract

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

References

  1. Batagelj, V., & Mrvar, A. (2004). Pajek: Program for analysis and visualization of large networks. Timeshift-The World in Twenty-Five Years: Ars Electronica, 242-251. Retrieved January 24, 2011, from http://90.146.8.18/en/archiv_files/20041/FE_2004_batageljmrvar_en.pdf
  2. Barrett, E. M. (2002). What is nursing science? Nursing Science Quarterly, 15, 51-60.
  3. Boyack, K. W., Klavans, R., & BÖrner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351-374. https://doi.org/10.1007/s11192-005-0255-6
  4. Effken, J., Gephart, S., Bianchi, D., & Verran, J. (2010). Correlations of nursing communication network metrics with patient outcomes. American Medical Informatics Association Annual Symposium Process, 2010, 197-201.
  5. Estabrooks, C. A., Winther, C., & Derksen, L. (2004). Mapping the field: A bibliometric analysis of the research utilization literature in nursing. Nursing Research, 53, 293-303. https://doi.org/10.1097/00006199-200409000-00003
  6. Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007). The human disease network. Proceedings of the National Academy of Sciences, 104, 8685-8690. doi:10.1073/pnas.0701361104
  7. He, Q. (1999). Knowledge discovery through co-word analysis. Library Trends, 48(1), 133-159.
  8. Jang, S. O. (2005). 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, 35, 206-212.
  9. Jeong, S., & Kim, H. G. (2010). Intellectual structure of biomedical informatics reflected in scholarly events. Scientometrics, 85, 541-551. https://doi.org/10.1007/s11192-010-0166-z
  10. Jeong, S., Lee, S. K., & Kim, H. G. (2010). Knowledge structure of Korean medical informatics: A social network analysis of articles in journal and proceedings. Healthcare Informatics Research, 16, 52-59. https://doi.org/10.4258/hir.2010.16.1.52
  11. Kang, H. C. (2002). Last 3 years (1999-2001) Journal of nursing for the use of statistical techniques for analysis. Journal of Korean Academy of Nursing, 32, 929-935.
  12. Kim, J. I., Park, S. M., Park, H. S., Chung, C. W., & Ahn, S. H. (2007). Analysis of published papers and their keywords in the Korean Journal of Women Health Nursing (2003-2006). Journal of Korean Academy of Women Health Nursing, 13, 51-59.
  13. Kim, S. J., Kim, K. B., Yi, M. S., Lee, K. J., Ahn, Y. H., Kim, H. S., et al. (2002). The trends of nursing research in the journals of seven branches of the Korean Academy of Nursing. Journal of Korean Academy of Nursing, 32, 114-130.
  14. Kleinberg, J. (1999). Authoritative sources in a hyperlinked environment. Journal of the Association for Computing Machinery, 46, 604-632. https://doi.org/10.1145/324133.324140
  15. Lee, M. A., & Yom, Y. H. (2007). 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, 44, 545-555. https://doi.org/10.1016/j.ijnurstu.2006.03.006
  16. McCloskey Dochterman, J., & Bulechek, G. (2004). Nursing interventions classification (NIC) (4th ed.). St. Louis, MO: Mosby.
  17. Park, J. S., & Park, C. J. (1995). An analysis of nursing research on pain reported in Korea from 1970 to 1994. Journal of Korean Academy of Nursing, 25, 30-44.
  18. Roh, K. H. (2008). A review of the trends of journal research on dementia and nursing interventions for demented elders. Journal of Korean Academy of Community Health Nursing, 19, 300-309.
  19. Salton, G. (1991). Developments in automatic text retrieval. Science, 253 (5023), 974-980. https://doi.org/10.1126/science.253.5023.974
  20. Scott, J. (1988). Social network analysis. Sociology, 22(1), 109-127. doi:10. 1177/0038038588022001007
  21. Seomun, G. A., Koh, M. S., & Kim, I. A. (2007). Classification of keywords of the papers from the Journal of Korean Academy of Nursing Administration (2002-2006). Journal of Korean Academy of Nursing Administration, 13, 118-122.
  22. Shin, H. S., Hyun, M. S., Ku, M. O., Cho, M. O., Kim, S. Y., Jeong, J. S., et al. (2010). 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, 40, 139-149. https://doi.org/10.4040/jkan.2010.40.1.139
  23. Sohng, K. Y., Kim, J. I., Choi, D. W., Kim, A. K., Chaung, S. K., Kim, K. H., et al. (2008). Research trends in the Journal of Korean Academy of Fundamental Nursing. Journal of Korean Academy of Fundamental Nursing, 15, 262-273.
  24. Suh, Y. O., Park, J. S., Yang, J. H., Kim, H. W., Suk, M. H., Shin, H. S., et al. (2007). Analysis of research papers published in the Journal of Korean Academy of Nursing. Journal of Korean Academy of Nursing, 37, 1013-1019.
  25. Wilkinson, D. M., & Huberman, B. A. (2004). A method for finding communities of related genes. Proceedings of the National Academy of Sciences of the United States of America, 101(Suppl 1), 5241-5248. doi:10. 1073/pnas.0307740100

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