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Social network analysis in medical education

Isba, R; Woolf, K; Hanneman, R; (2017) Social network analysis in medical education. Medical Education , 51 (1) pp. 81-88. 10.1111/medu.13152. Green open access

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Abstract

CONTENT: Humans are fundamentally social beings. The social systems within which we live our lives (families, schools, workplaces, professions, friendship groups) have a significant influence on our health, success and well-being. These groups can be characterised as networks and analysed using social network analysis. SOCIAL NETWORK ANALYSIS: Social network analysis is a mainly quantitative method for analysing how relationships between individuals form and affect those individuals, but also how individual relationships build up into wider social structures that influence outcomes at a group level. Recent increases in computational power have increased the accessibility of social network analysis methods for application to medical education research. APPLICATION TO MEDICAL EDUCATION: Social network analysis has been used to explore team-working, social influences on attitudes and behaviours, the influence of social position on individual success, and the relationship between social cohesion and power. This makes social network analysis theories and methods relevant to understanding the social processes underlying academic performance, workplace learning and policy-making and implementation in medical education contexts. CONCLUSIONS: Social network analysis is underused in medical education, yet it is a method that could yield significant insights that would improve experiences and outcomes for medical trainees and educators, and ultimately for patients.

Type: Article
Title: Social network analysis in medical education
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/medu.13152
Publisher version: http://dx.doi.org/10.1111/medu.13152
Language: English
Additional information: Copyright © 2016 John Wiley & Sons Ltd and The Association for the Study of Medical Education. This is the peer reviewed version of the following article: Isba, R., Woolf, K. and Hanneman, R. (2017), Social network analysis in medical education. Med Educ, 51: 81–88., which has been published in final form at http://dx.doi.org/10.1111/medu.13152. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > UCL Medical School
URI: http://discovery.ucl.ac.uk/id/eprint/1515814
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