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A Study on the Knowledge Structure of Cancer Survivors based on Social Network Analysis
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Sun Young Kwon, Ka Ryeong Bae
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J Korean Acad Nurs 2016;46(1):50-58. Published online February 29, 2016
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DOI: https://doi.org/10.4040/jkan.2016.46.1.50
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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 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords.
Results
According to the result of the content analysis and the cluster analysis 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, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.
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Citations
Citations to this article as recorded by  - Effectiveness of Self-Assessment, TAilored Information, and Lifestyle Management for Cancer Patients’ Returning to Work (START): A Multi-center, Randomized Controlled Trial
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