8 citations · 9 across the 5 of their papers we have counts for
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The impact of behavioral homophily and conformity on epidemic spreading in networks with large groups
Olivier Ribordy, Clara Granell, Guillaume St-Onge +3
Understanding how social behavior influences epidemic dynamics has become a central focus in mathematical epidemiology. In particular, \textit{behavioral homophily} (the tendency o…
Simpson's paradox explains the ubiquity of nonlinear, threshold, and complex contagions
Laurent Hébert-Dufresne, Antoine Allard, Jean-Gabriel Young +2
Complex contagions describe systems where the probability or rate of contagious transmission is a nonlinear function of the exposure to contagious agents. These models were first s…
Group dynamics shape contagion onsets and multistable active phases under collective reinforcement
Santiago Lamata-Otín, Federico Malizia, Leah A. Keating +4
Group-based reinforcement can induce discontinuous transitions from inactive to active phases in higher-order contagion models. However, these results are typically obtained on sta…
Characteristic scales and adaptation in higher-order contagions
Giulio Burgio, Guillaume St-Onge, Laurent Hébert-Dufresne
People organize in groups and contagions spread across them. A simple stochastic process, yet complex to model due to dynamical correlations within and between groups. Moreover, gr…
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…