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20122026
most citedStochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2

72 citations · 74 across the 6 of their papers we have counts for

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Showing physics.soc-phShow all

13 papers · 1 filter

physics.soc-ph2026

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…

physics.soc-ph2025

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…

physics.soc-ph2022

Hierarchical team structure and multidimensional localization (or siloing) on networks

Laurent Hébert-Dufresne, Guillaume St-Onge, John Meluso +2

Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms…

physics.soc-ph2021

Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs

Guillaume St-Onge, Iacopo Iacopini, Vito Latora +4

Several biological and social contagion phenomena, such as superspreading events or social reinforcement, are the results of multi-body interactions, for which hypergraphs offer a…

physics.soc-ph2021

Universal nonlinear infection kernel from heterogeneous exposure on higher-order networks

Guillaume St-Onge, Hanlin Sun, Antoine Allard +2

The colocation of individuals in different environments is an important prerequisite for exposure to infectious diseases on a social network. Standard epidemic models fail to captu…

physics.soc-ph2020

Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks

Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2

Simple models of infectious diseases tend to assume random mixing of individuals, but real interactions are not random pairwise encounters: they occur within various types of gathe…