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간호학 학술논문의 주제 분석을 위한 텍스트네크워크분석방법 활용
Using Text Network Analysis for Analyzing Academic Papers in Nursing

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Authors
박찬숙
Issue Date
2019-04-30
Publisher
서울대학교 간호과학연구소
Citation
Perspectives in Nursing Science, Vol.16 No.1, pp. 12-24
Keywords
Text miningNursing methodology researchSocial networking텍스트 마이닝간호 방법론 연구사회연결망
Abstract
Purpose: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing. Methods: TNA background theories, software programs, and research processes have been described in this paper. Additionally, the research methodology that applied TNA to the topic analysis of the academic nursing papers was analyzed. Results: As background theories for the study, we explained information theory, word co-occurrence analysis, graph theory, network theory, and social network analysis. 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. Conclusion: TNA using author-keywords has several advantages. It can utilize recognized terms such as MeSH headings or terms chosen by professionals, and it saves time and effort. 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.
ISSN
2288-2898
Language
Korean
URI
https://hdl.handle.net/10371/153105
DOI
https://doi.org/10.16952/pns.2019.16.1.12
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Appears in Collections:
College of Nursing (간호대학)The Research Institute of Nursing Science (간호과학연구소)Perspectives in Nursing Science (간호학의 지평)Perspectives In Nursing Science (간호학의 지평) Volume 16 Number 1/2(2019)
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