J Korean Acad Nurs.  2011 Oct;41(5):623-632. 10.4040/jkan.2011.41.5.623.

A Social Network Analysis of Research Topics in Korean Nursing Science

• Lee SK
• Jeong S
• Kim HG
• Yom YH

• KMID: 1031101
• DOI: http://doi.org/10.4040/jkan.2011.41.5.623

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.

Keyword

Knowledge; Structure; Nursing; Bibliometrics; Social network analysis

MeSH Terms

Bibliometrics
Humans
Nursing Research/*trends
Periodicals as Topic/statistics & numerical data
Qualitative Research
Republic of Korea
*Social Support

Figure

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  Figure 1 The process of analysis of research topics in korean nursing science.

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  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.

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