1.6k citations · 2.4k across the 37 of their papers we have counts for
12 papers · 1 filter
Message passing for epidemiological interventions on networks with loops
Erik Weis, Laurent Hébert-Dufresne, Jean-Gabriel Young
Spreading models capture key dynamics on networks, such as cascading failures in economic systems, (mis)information diffusion, and pathogen transmission. Here, we focus on design i…
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…
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…
Hypergraph reconstruction from noisy pairwise observations
Ariane Lizotte, Jean-Gabriel Young, Antoine Allard
The network reconstruction task aims to estimate a complex system's structure from various data sources such as time series, snapshots, or interaction counts. Recent work has exami…
Network compression with configuration models and the minimum description length
Laurent Hébert-Dufresne, Jean-Gabriel Young, Alexander Daniels +2
Random network models, constrained to reproduce specific statistical features, are often used to represent and analyze network data and their mathematical descriptions. Chief among…
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva +10
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. The…
Clustering of heterogeneous populations of networks
Jean-Gabriel Young, Alec Kirkley, M. E. J. Newman
Statistical methods for reconstructing networks from repeated measurements typically assume that all measurements are generated from the same underlying network structure. This nee…
Impact and dynamics of hate and counter speech online
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young +2
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a lack of large-scale longitudinal studies…
Hypergraph reconstruction from network data
Jean-Gabriel Young, Giovanni Petri, Tiago P. Peixoto
Networks can describe the structure of a wide variety of complex systems by specifying which pairs of entities in the system are connected. While such pairwise representations are…
Bayesian inference of network structure from unreliable data
Jean-Gabriel Young, George T. Cantwell, M. E. J. Newman
Most empirical studies of complex networks do not return direct, error-free measurements of network structure. Instead, they typically rely on indirect measurements that are often…
A Clarified Typology of Core-Periphery Structure in Networks
Ryan J. Gallagher, Jean-Gabriel Young, Brooke Foucault Welles
Core-periphery structure, the arrangement of a network into a dense core and sparse periphery, is a versatile descriptor of various social, biological, and technological networks.…
Inference for growing trees
George T. Cantwell, Guillaume St-Onge, Jean-Gabriel Young
One can often make inferences about a growing network from its current state alone. For example, it is generally possible to determine how a network changed over time or pick among…