Temporal properties of higher-order interactions in social networks

Abstract Human social interactions in local settings can be experimentally detected by recording the physical proximity and orientation of people. Such interactions, approximating face-to-face communications, can be effectively represented as time varying social networks with links being unceasingly...

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Autores principales:	Giulia Cencetti, Federico Battiston, Bruno Lepri, Márton Karsai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d7937b54e3604d0ebfe7f48aaba55d04
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spelling	oai:doaj.org-article:d7937b54e3604d0ebfe7f48aaba55d042021-12-02T14:23:23ZTemporal properties of higher-order interactions in social networks10.1038/s41598-021-86469-82045-2322https://doaj.org/article/d7937b54e3604d0ebfe7f48aaba55d042021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86469-8https://doaj.org/toc/2045-2322Abstract Human social interactions in local settings can be experimentally detected by recording the physical proximity and orientation of people. Such interactions, approximating face-to-face communications, can be effectively represented as time varying social networks with links being unceasingly created and destroyed over time. Traditional analyses of temporal networks have addressed mostly pairwise interactions, where links describe dyadic connections among individuals. However, many network dynamics are hardly ascribable to pairwise settings but often comprise larger groups, which are better described by higher-order interactions. Here we investigate the higher-order organizations of temporal social networks by analyzing five publicly available datasets collected in different social settings. We find that higher-order interactions are ubiquitous and, similarly to their pairwise counterparts, characterized by heterogeneous dynamics, with bursty trains of rapidly recurring higher-order events separated by long periods of inactivity. We investigate the evolution and formation of groups by looking at the transition rates between different higher-order structures. We find that in more spontaneous social settings, group are characterized by slower formation and disaggregation, while in work settings these phenomena are more abrupt, possibly reflecting pre-organized social dynamics. Finally, we observe temporal reinforcement suggesting that the longer a group stays together the higher the probability that the same interaction pattern persist in the future. Our findings suggest the importance of considering the higher-order structure of social interactions when investigating human temporal dynamics.Giulia CencettiFederico BattistonBruno LepriMárton KarsaiNature 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 Giulia Cencetti Federico Battiston Bruno Lepri Márton Karsai Temporal properties of higher-order interactions in social networks
description	Abstract Human social interactions in local settings can be experimentally detected by recording the physical proximity and orientation of people. Such interactions, approximating face-to-face communications, can be effectively represented as time varying social networks with links being unceasingly created and destroyed over time. Traditional analyses of temporal networks have addressed mostly pairwise interactions, where links describe dyadic connections among individuals. However, many network dynamics are hardly ascribable to pairwise settings but often comprise larger groups, which are better described by higher-order interactions. Here we investigate the higher-order organizations of temporal social networks by analyzing five publicly available datasets collected in different social settings. We find that higher-order interactions are ubiquitous and, similarly to their pairwise counterparts, characterized by heterogeneous dynamics, with bursty trains of rapidly recurring higher-order events separated by long periods of inactivity. We investigate the evolution and formation of groups by looking at the transition rates between different higher-order structures. We find that in more spontaneous social settings, group are characterized by slower formation and disaggregation, while in work settings these phenomena are more abrupt, possibly reflecting pre-organized social dynamics. Finally, we observe temporal reinforcement suggesting that the longer a group stays together the higher the probability that the same interaction pattern persist in the future. Our findings suggest the importance of considering the higher-order structure of social interactions when investigating human temporal dynamics.
format	article
author	Giulia Cencetti Federico Battiston Bruno Lepri Márton Karsai
author_facet	Giulia Cencetti Federico Battiston Bruno Lepri Márton Karsai
author_sort	Giulia Cencetti
title	Temporal properties of higher-order interactions in social networks
title_short	Temporal properties of higher-order interactions in social networks
title_full	Temporal properties of higher-order interactions in social networks
title_fullStr	Temporal properties of higher-order interactions in social networks
title_full_unstemmed	Temporal properties of higher-order interactions in social networks
title_sort	temporal properties of higher-order interactions in social networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d7937b54e3604d0ebfe7f48aaba55d04
work_keys_str_mv	AT giuliacencetti temporalpropertiesofhigherorderinteractionsinsocialnetworks AT federicobattiston temporalpropertiesofhigherorderinteractionsinsocialnetworks AT brunolepri temporalpropertiesofhigherorderinteractionsinsocialnetworks AT martonkarsai temporalpropertiesofhigherorderinteractionsinsocialnetworks
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Temporal properties of higher-order interactions in social networks

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