activity
20002020
most citedAdaptive networks: coevolution of disease and topology

215 citations · 1.2k across the 37 of their papers we have counts for

collaborators

38 papers

physics.soc-ph2020★ 47 cited

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…

physics.soc-ph2018★ 32 cited

Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm

Guillaume St-Onge, Jean-Gabriel Young, Laurent Hébert-Dufresne +1

Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks. Using insights and analytical results from network s…

physics.soc-ph2017★ 2 cited

Exact analytical solution of irreversible binary dynamics on networks

Edward Laurence, Jean-Gabriel Young, Sergey Melnik +1

In binary cascade dynamics, the nodes of a graph are in one of two possible states (inactive, active), and nodes in the inactive state make an irreversible transition to the active…

physics.soc-ph2017★ 6 cited

Geometric evolution of complex networks

Charles Murphy, Antoine Allard, Edward Laurence +2

We present a general class of geometric network growth mechanisms by homogeneous attachment in which the links created at a given time are distributed homogeneously between a n…

physics.soc-ph2017★ 24 cited

Phase transition of the susceptible-infected-susceptible dynamics on time-varying configuration model networks

Guillaume St-Onge, Jean-Gabriel Young, Edward Laurence +2

We present a degree-based theoretical framework to study the susceptible-infected-susceptible (SIS) dynamics on time-varying (rewired) configuration model networks. Using this fram…

physics.soc-ph2017★ 9 cited

Finite size analysis of the detectability limit of the stochastic block model

Jean-Gabriel Young, Patrick Desrosiers, Laurent Hébert-Dufresne +2

It has been shown in recent years that the stochastic block model (SBM) is sometimes undetectable in the sparse limit, i.e., that no algorithm can identify a partition correlated w…