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권선영 ( Kwon Sun-Young ) - 성균관대학교 정보관리연구소
배가령 ( Bae Ka-Ryeong ) - 연세대학교 간호대학
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Abstract
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Purpose: The purpose of this study was to identify the knowledge structure of cancer survivors.
Methods: For data, 1099 articleswere collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrixwere generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL wereapplied to visualize intellectual interchanges among keywords.
Results: According to the result of the content analysis and the clusteranalysis of author keywords from cancer survivors articles, keywords such as ‘quality of life’, ‘breast neoplasms’, ‘cancer survivors’,‘neoplasms’, ‘exercise’ had a high degree centrality. The 9 most important research topics concerning cancer survivors were‘cancer-related symptoms and nursing’, ‘cancer treatment-related issues’, ‘late effects’, ‘psychosocial issues’, ‘healthy living managements’,‘social supports’, ‘palliative cares’, ‘research methodology’, and ‘research participants’.
Conclusion: Through this study, theknowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction forthe development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifyingthe knowledge structure and identifying general views and current cancer survivor research trends.
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KeyWords
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암, 생존자, 지식, 네트워크 분석
Neoplasms, Survivors, Knowledge, Social network analysis
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원문 및 링크아웃 정보
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등재저널 정보
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