15 citations · 48 across the 14 of their papers we have counts for
13 papers · 1 filter
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…
Governance as a complex, networked, democratic, satisfiability problem
Laurent Hébert-Dufresne, Nicholas W. Landry, Juniper Lovato +6
Democratic governments comprise a subset of a population whose goal is to produce coherent decisions, solving societal challenges while respecting the will of the people. New gover…
Compressing network populations with modal networks reveals structural diversity
Alec Kirkley, Alexis Rojas, Martin Rosvall +1
Analyzing relational data consisting of multiple samples or layers involves critical challenges: How many networks are required to capture the variety of structures in the data? An…
Networks beyond pairwise interactions: structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini +5
The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past decades, a great variety of complex…
Interacting contagions are indistinguishable from social reinforcement
Laurent Hébert-Dufresne, Samuel V. Scarpino, Jean-Gabriel Young
From fake news to innovative technologies, many contagions spread via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single s…
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…