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Wireless networks are commonly used in public spaces, universities and publicinstitutions and provide accurate and easily accessible information to monitorthe mobility and behavior of users. Following the application of containmentmeasures during the recent pandemic, we analyse extensive data from the WiFinetwork in a University Campus in Italy during three periods, corresponding topartial lockdown, partial opening, and almost complete opening. We measure theprobability distributions of groups and link activation at Wi-Fi Access Points,investigating how different areas are used in the presence of restrictions. Werank the hotspots and the area they cover according to their crowding and tothe probability of link formation, which is the relevant variable indetermining potential outbreaks. We consider a recently proposed epidemic modelon simplicial temporal networks and we use the measured distributions to inferthe change in the reproduction number in the three phases. Our data show thatadditional measures are necessary to limit the epidemic spreading in the totalopening phase, due to the dramatic increase in the number of contacts.

Simplicial temporal networks from Wi-Fi data in a University Campus: the effects of restrictions on epidemic spreading