Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach

Abstract 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 pandemi...

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Autores principales:	Pilar Marqués-Sánchez, Arrate Pinto-Carral, Tania Fernández-Villa, Ana Vázquez-Casares, Cristina Liébana-Presa, José Alberto Benítez-Andrades
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/089d3190facb4763ad3fcb2653019418
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spelling	oai:doaj.org-article:089d3190facb4763ad3fcb26530194182021-11-14T12:24:39ZIdentification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach10.1038/s41598-021-01390-42045-2322https://doaj.org/article/089d3190facb4763ad3fcb26530194182021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01390-4https://doaj.org/toc/2045-2322Abstract 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.Pilar Marqués-SánchezArrate Pinto-CarralTania Fernández-VillaAna Vázquez-CasaresCristina Liébana-PresaJosé Alberto Benítez-AndradesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pilar Marqués-Sánchez Arrate Pinto-Carral Tania Fernández-Villa Ana Vázquez-Casares Cristina Liébana-Presa José Alberto Benítez-Andrades Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
description	Abstract 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.
format	article
author	Pilar Marqués-Sánchez Arrate Pinto-Carral Tania Fernández-Villa Ana Vázquez-Casares Cristina Liébana-Presa José Alberto Benítez-Andrades
author_facet	Pilar Marqués-Sánchez Arrate Pinto-Carral Tania Fernández-Villa Ana Vázquez-Casares Cristina Liébana-Presa José Alberto Benítez-Andrades
author_sort	Pilar Marqués-Sánchez
title	Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
title_short	Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
title_full	Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
title_fullStr	Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
title_full_unstemmed	Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach
title_sort	identification of cohesive subgroups in a university hall of residence during the covid-19 pandemic using a social network analysis approach
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/089d3190facb4763ad3fcb2653019418
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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

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