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Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Scientific Reports
Datos de la obra
Marqués-Sánchez, P., Pinto-Carral, A., Fernández-Villa, T., Vázquez-Casares, A., Liébana-Presa, C. y Benítez-Andrades, J.A. (2021). Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach. Sci Rep 11, 22055. https://doi.org/10.1038/s41598-021-01390-4
Editor
Springer Nature
Fecha
2021
Abstract
[EN] The aims: (i) analyze connectivity between subgroups of university students, (ii) assess which bridges
of relational contacts are essential for connecting or disconnecting subgroups and (iii) to explore
the similarities between the attributes of the subgroup nodes in relation to the pandemic context.
During the COVID‑19 pandemic, young university students have experienced significant changes in
their relationships, especially in the halls of residence. Previous research has shown the importance
of relationship structure in contagion processes. However, there is a lack of studies in the university
setting, where students live closely together. The case study methodology was applied to carry out
a descriptive study. The participation consisted of 43 university students living in the same hall of
residence. Social network analysis has been applied for data analysis. Factions and Girvan–Newman
algorithms have been applied to detect the existing cohesive subgroups. The UCINET tool was used
for the calculation of the SNA measure. A visualization of the global network will be carried out using
Gephi software. After applying the Girvan–Newman and Factions, in both cases it was found that the
best division into subgroups was the one that divided the network into 4 subgroups. There is high
degree of cohesion within the subgroups and a low cohesion between them. The relationship between
subgroup membership and gender was significant. The degree of COVID‑19 infection is related to
the degree of clustering between the students. College students form subgroups in their residence.
Social network analysis facilitates an understanding of structural behavior during the pandemic. The
study provides evidence on the importance of gender, race and the building where they live in creating
network structures that favor, or not, contagion during a pandemic.
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