2 citations · 4 across the 3 of their papers we have counts for
10 papers · 1 filter
Adaptive hypergraphs and the characteristic scale of higher-order contagions using generalized approximate master equations
Giulio Burgio, Guillaume St-Onge, Laurent Hébert-Dufresne
People organize in groups and contagions spread across them. A simple process, but complex to model due to dynamical correlations within groups and between groups. Groups can also…
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…
Network comparison and the within-ensemble graph distance
Harrison Hartle, Brennan Klein, Stefan McCabe +4
Quantifying the differences between networks is a challenging and ever-present problem in network science. In recent years a multitude of diverse, ad hoc solutions to this problem…
Detecting structural perturbations from time series with deep learning
Edward Laurence, Charles Murphy, Guillaume St-Onge +2
Small disturbances can trigger functional breakdowns in complex systems. A challenging task is to infer the structural cause of a disturbance in a networked system, soon enough to…