13 citations · 21 across the 3 of their papers we have counts for
3 papers
The limits of human mobility traces to predict the spread of COVID-19
Federico Delussu, Michele Tizzoni, Laetitia Gauvin
Mobile phone data have been widely used to model the spread of COVID-19, however, quantifying and comparing their predictive value across different settings is challenging. Their q…
Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread
Laetitia Gauvin, André Panisson, Alain Barrat +1
The customary perspective to reason about epidemic mitigation in temporal networks hinges on the identification of nodes with specific features or network roles. The ensuing indivi…
Mining Concurrent Topical Activity in Microblog Streams
A. Panisson, L. Gauvin, M. Quaggiotto +1
Streams of user-generated content in social media exhibit patterns of collective attention across diverse topics, with temporal structures determined both by exogenous factors and…