Knowledge structure of the Korean journal of occupational health nursing through network analysis. Research trend analysis of do-not-resuscitate decision: based on text network analysis. A social network analysis of research topics in Korean nursing science. Mapping the knowledge utilization field in nursing from 1945 to 2004: a bibliometric analysis. Scott SD, Profetto-McGrath J, Estabrooks CA, Winther C, Wallin L, Lavis JN.Ethics and dementia: mapping the literature by bibliometric analysis. Baldwin C, Hughes J, Hope T, Jacoby R, Ziebland S.New York: Cambridge University Press 1994. Social network analysis: methods and applications. Knowledge discovery through co-word analysis. Proceedings of the 26th Annual Conference on Human & Cognitive Language Technology 2014 Oct 10-11 Kangwon National University, Chuncheon. KoNLPy: Korean natural language processing in python. Text network analysis: detecting shared meaning through socio-cognitive networks of policy stakeholders. Identifying the pathways for meaning circulation using text network analysis. A comparison of hospice care research topics between Korea and other countries using text network analysis. Utilizing twitter data for analysis of chemotherapy. Themes, syntax and other necessary steps in the network analysis of texts: a research paper. Additionally, the study emphasizes the necessity of developing a sophisticated research design that explores nursing research trends in a multidimensional method by applying TNA methodology. It can utilize recognized terms such as MeSH headings or terms chosen by professionals, and it saves time and effort. Conclusion: TNA using author-keywords has several advantages. The TNA procedure was described as follows: 1) collection of academic articles, 2) text extraction, 3) preprocessing, 4) generation of word co-occurrence matrices, 5) social network analysis, and 6) interpretation and discussion. Results: As background theories for the study, we explained information theory, word co-occurrence analysis, graph theory, network theory, and social network analysis. Additionally, the research methodology that applied TNA to the topic analysis of the academic nursing papers was analyzed. Methods: TNA background theories, software programs, and research processes have been described in this paper. Purpose: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing.
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