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Lee, Jeong, Kim, and Yom: A Social Network Analysis of Research Topics in Korean Nursing Science
Original Article
Journal of Korean Academy of Nursing

Journal of Korean Academy of Nursing 2011; 41(5): 623-632.

Published online: 31 October 2011

DOI: https://doi.org/10.4040/jkan.2011.41.5.623

A Social Network Analysis of Research Topics in Korean Nursing Science

Soo-Kyoung Lee1, Senator Jeong1, Hong-Gee Kim2, Young-Hee Yom3

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 24 January 2011       Accepted 24 October 2011

© 2011 Korean Society of Nursing Science

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: Knowledge, Structure, Nursing, Bibliometrics, Social network analysis

Figures and Tables

Figure 1
The process of analysis of research topics in korean nursing science.
jkan-41-623-g001
Figure 2
Topic clustering (Tf 10; n=126; cosine≥0.15; k-component1; component=9).
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Figure 3
The kth nearest neighbors analysis of 'elderly people' topic.
jkan-41-623-g003
Table 1
Research Journals and Information Service (URL) (N=5,936)
jkan-41-623-i001

*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

Notes

This work was supported by the Korean Research Foundation Grant funded by the Korean Government (KRF-2008-562-D00035).

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