2 citations · 4 across the 7 of their papers we have counts for
7 papers
On the Uniform Sampling of the Configuration Model with Centrality Constraints
François Thibault, Laurent Hébert-Dufresne, Antoine Allard
The Onion Decomposition has recently been shown to provide principled models of complex graphs that better reproduce the sparse networks found in nature, but at the cost of complic…
Within-host infection dynamics with master equations and the method of moments: A case study of human papillomavirus in the epithelium
Mariah C. Boudreau, Jamie A. Cohen, Laurent Hébert-Dufresne
Master equations provide researchers with the ability to track the distribution over possible states of a system. From these equations, we can summarize the temporal dynamics throu…
Reconstructing networks from simple and complex contagions
Nicholas W. Landry, William Thompson, Laurent Hébert-Dufresne +1
Network scientists often use complex dynamic processes to describe network contagions, but tools for fitting contagion models typically assume simple dynamics. Here, we address thi…
Paradoxes in the co-evolution of contagions and institutions
Jonathan St-Onge, Giulio Burgio, Samuel F. Rosenblatt +2
Epidemic models study the spread of an undesired agent through a population, be it infectious diseases through a country, misinformation in online social media, or pests infesting…
Measuring Centralization of Online Platforms Through Size and Interconnection of Communities
Milo Z. Trujillo, Laurent Hébert-Dufresne, James Bagrow
Decentralized architecture offers a robust and flexible structure for online platforms, since centralized moderation and computation can be easy to disrupt with targeted attacks. H…
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…
Modeling critical connectivity constraints in random and empirical networks
Laurent Hébert-Dufresne, Márton Pósfai, Antoine Allard
Random networks are a powerful tool in the analytical modeling of complex networks as they allow us to write approximate mathematical models for diverse properties and behaviors of…