116 citations · 566 across the 24 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
The role of directionality, heterogeneity and correlations in epidemic risk and spread
Antoine Allard, Cristopher Moore, Samuel V. Scarpino +2
Most models of epidemic spread, including many designed specifically for COVID-19, implicitly assume mass-action contact patterns and undirected contact networks, meaning that the…
Spread of infectious disease and social awareness as parasitic contagions on clustered networks
Laurent Hébert-Dufresne, Dina Mistry, Benjamin M. Althouse
There is a rich history of models for the interaction of a biological contagion like influenza with the spread of related information such as an influenza vaccination campaign. Rec…
Social confinement and mesoscopic localization of epidemics on networks
Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most mod…
On the accuracy of message-passing approaches to percolation in complex networks
Antoine Allard, Laurent Hébert-Dufresne
The Message-Passing Approach (MPA) is the state-of-the-art technique to obtain quasi-analytical predictions for percolation on real complex networks. Besides being intuitive and st…
Interacting contagions are indistinguishable from social reinforcement
Laurent Hébert-Dufresne, Samuel V. Scarpino, Jean-Gabriel Young
From fake news to innovative technologies, many contagions spread via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single s…
Smeared phase transitions in percolation on real complex networks
Laurent Hébert-Dufresne, Antoine Allard
Percolation on complex networks is used both as a model for dynamics on networks, such as network robustness or epidemic spreading, and as a benchmark for our models of networks, w…
Percolation and the effective structure of complex networks
Antoine Allard, Laurent Hébert-Dufresne
Analytical approaches to model the structure of complex networks can be distinguished into two groups according to whether they consider an intensive (e.g., fixed degree sequence a…
Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infectious disease
Georg M. Goerg, Oscar Patterson-Lomba, Laurent Hébert-Dufresne +1
The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, treatment capacity, etc.) and health influence…