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"Social network analysis"

Original Articles
An Analysis of Interviews between Nurse Educators and Newly Graduated Nurses Regarding Adaptation to Clinical Nursing Practice: Text Network Analysis and Topic Modeling
Hyowon Jo, Hyunjung Ko, Seulki Jeong, Minyoung Park, Seul Lee, Seok Hee Jeong
J Korean Acad Nurs Adm 2026;32(2):123-135.   Published online March 31, 2026
DOI: https://doi.org/10.11111/jkana.2025.0059
Purpose
This study identified themes associated with the clinical adaptation of newly graduated nurses. Methods: We collected 522 interview journals from newly graduated nurses and nurse educators at a tertiary hospital between January 2021 and December 2023. After excluding incomplete data, 407 “promoting enjoyment” entries and 426 “presenting challenges” entries were analyzed using network analysis and topic modeling in NetMiner 4.5.1. Results: Topic modeling identified four themes in each category. For promoting enjoyment, the themes were: “Upon completing my designated responsibilities, I depart from the workplace,” “On my days off, I enjoy indulging in my favorite activities,” “Being recognized by my colleagues makes me feel like I’m contributing my part to the team,” and “The condition of my patient has improved.” For presenting challenges, the themes were: “The numerous responsibilities I must handle make it difficult to complete everything within the designated time frame,” “I struggle with both my tasks and relationships with colleagues,” “I’m anxious about caring for patients on my own,” and “Irregular shift patterns and occupational distress significantly impair my sleep quality.” Conclusion: Educational methodologies need to be developed to facilitate the clinical adaptation of newly graduated nurses. These findings can inform the Ministry of Health and Welfare’s nurse educator policy and future nursing workforce strategies.
  • 282 View
  • 14 Download
Voice of Customer Analysis of Nursing Care in a Tertiary Hospital: Text Network Analysis and Topic Modeling
Hyunjung Ko, Nara Han, Seulki Jeong, Jeong A Jeong, Hye Ryoung Yun, Eun Sil Kim, Young Jun Jang, Eun Ju Choi, Chun Hoe Lim, Min Hee Jung, Jung Hee Kim, Dong Hyu Cho, Seok Hee Jeong
J Korean Acad Nurs Adm 2024;30(5):529-542.   Published online December 31, 2024
DOI: https://doi.org/10.11111/jkana.2024.30.5.529
Purpose
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement. The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
  • 1,396 View
  • 60 Download
Purpose
This study was explored the current nursing issues in the COVID-19 era by analyzing newspaper articles. Methods: The search term “nurse” was used to collect newspaper articles from 2020. Pre-processing and semantic network analysis and topic group clustering were conducted using the NetMiner program to analyze the collected articles. Results: A total of 256 articles were identified, and four topics were extracted. The core keywords were “medical care”, “hospital”, “COVID-19” and “medical workforce”. The extracted topics were “work environment related to response to infectious diseases”, “utilization of nursing resources”, “excessive nursing work”, and “shortage of nursing workforce”. Conclusion: Our findings provide useful information for understanding social perspectives of critical nursing issues in the COVID-19 era. Most of the extracted topics are the actual problems that nurses have faced for a long time. Now, nurses must proactively address current nursing issues to respond to national disasters and provide quality nursing care.

Citations

Citations to this article as recorded by  
  • Analysis of Headline News about Nurses Before and After the COVID-19 Pandemic
    Su-Mi Baek, Myonghwa Park
    Journal of Korean Academy of Nursing Administration.2022; 28(4): 319.     CrossRef
  • 1,263 View
  • 5 Download
  • 1 Crossref
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