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Social network analysis: Presenting an underused method for nursing research.

James Michael Parnell1,2, Jennifer C Robinson3

  • 1School of Graduate Studies in Health Sciences, University of Mississippi Medical Center, Jackson, MS, USA.

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|February 15, 2018
PubMed
Summary
This summary is machine-generated.

Social network analysis (SNA) offers versatile applications in nursing research, though it remains underutilized. This method provides new insights and can be integrated into various research designs for enhanced discovery.

Keywords:
complex adaptive systemcomplexitynursingnursing researchresearch methodsocial network analysis

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Area of Science:

  • Nursing Research
  • Social Network Analysis
  • Quantitative and Qualitative Research

Background:

  • Social networks are extensively studied in social sciences, but SNA methods are not widely known in nursing.
  • Nursing scholars are largely unaware of the advancements and applications of social network analysis.

Purpose of the Study:

  • Introduce social network analysis (SNA) as a versatile method for nursing research.
  • Highlight the broad applicability and potential of SNA in various nursing inquiry areas.
  • Demonstrate SNA approaches through hypothetical scenarios relevant to nursing research design.

Main Methods:

  • Literature search of English language and interpreted studies from 1965-2017.
  • Utilized databases including Ovid Healthstar, CINAHL, PubMed Central, and Scopus.
  • Discussion paper format presenting hypothetical scenarios to illustrate SNA.

Main Results:

  • Social network analysis (SNA) emerged in nursing literature in 1995 and is minimally used.
  • SNA methods are underused due to lack of awareness among nursing scholars.
  • Hypothetical scenarios illustrate three SNA approaches and key research design elements.

Conclusions:

  • Social network analysis (SNA) offers methodological flexibility and epistemological versatility for nursing research.
  • SNA can uncover findings inaccessible through traditional nursing research methods.
  • SNA techniques and visualizations can generate new hypotheses and provide novel insights, especially in culturally influenced areas.