215 citations · 1.8k across the 55 of their papers we have counts for
6 papers · 1 filter
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…
The D-Mercator method for the multidimensional hyperbolic embedding of real networks
Robert Jankowski, Antoine Allard, Marián Boguñá +1
One of the pillars of the geometric approach to networks has been the development of model-based mapping tools that embed real networks in its latent geometry. In particular, the t…
Geometric description of clustering in directed networks
Antoine Allard, M. Ángeles Serrano, Marián Boguñá
First principle network models are crucial to make sense of the intricate topology of real complex networks. While modeling efforts have been quite successful in undirected network…
Nonlinear bias toward complex contagion in uncertain transmission settings
Guillaume St-Onge, Laurent Hébert-Dufresne, Antoine Allard
Current epidemics in the biological and social domains are challenging the standard assumptions of mathematical contagion models. Chief among them are the complex patterns of trans…
Temporal and probabilistic comparisons of epidemic interventions
Mariah C. Boudreau, Andrea J. Allen, Nicholas J. Roberts +2
Forecasting disease spread is a critical tool to help public health officials design and plan public health interventions. However, the expected future state of an epidemic is not…
Exact and rapid linear clustering of networks with dynamic programming
Alice Patania, Antoine Allard, Jean-Gabriel Young
We study the problem of clustering networks whose nodes have imputed or physical positions in a single dimension, for example prestige hierarchies or the similarity dimension of hy…