116 citations · 566 across the 24 of their papers we have counts for
24 papers
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…
The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories
Melanie Warrick, Samuel F. Rosenblatt, Jean-Gabriel Young +3
Communication surrounding the development of an open source project largely occurs outside the software repository itself. Historically, large communities often used a collection o…
Hierarchical team structure and multidimensional localization (or siloing) on networks
Laurent Hébert-Dufresne, Guillaume St-Onge, John Meluso +2
Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms…
The network epidemiology of an Ebola epidemic
Laurent Hébert-Dufresne, Jean-Gabriel Young, Jamie Bedson +8
Connecting the different scales of epidemic dynamics, from individuals to communities to nations, remains one of the main challenges of disease modeling. Here, we revisit one of th…
Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata
B. K. M. Case, Jean-Gabriel Young, Daniel Penados +3
Widespread application of insecticide remains the primary form of control for Chagas disease in Central America, despite only temporarily reducing domestic levels of the endemic ve…
Immunity-induced criticality of the genotype network of influenza A (H3N2) hemagglutinin
Blake J. M. Williams, C. Brandon Ogbunugafor, Benjamin M. Althouse +1
Seasonal influenza kills hundreds of thousands every year, with multiple constantly-changing strains in circulation at any given time. A high mutation rate enables the influenza vi…
Predicting the diversity of early epidemic spread on networks
Andrea J. Allen, Mariah C. Boudreau, Nicholas J. Roberts +2
The interplay of biological, social, structural and random factors makes disease forecasting extraordinarily complex. The course of an epidemic exhibits average growth dynamics det…
The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative
Milo Z. Trujillo, Laurent Hébert-Dufresne, James Bagrow
GitHub has become the central online platform for much of open source, hosting most open source code repositories. With this popularity, the public digital traces of GitHub are now…
Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs
Guillaume St-Onge, Iacopo Iacopini, Vito Latora +4
Several biological and social contagion phenomena, such as superspreading events or social reinforcement, are the results of multi-body interactions, for which hypergraphs offer a…
A Review & Framework for Modeling Complex Engineered System Development Processes
John Meluso, Jesse Austin-Breneman, James P. Bagrow +1
Developing complex engineered systems (CES) poses significant challenges for engineers, managers, designers, and businesspeople alike due to the inherent complexity of the systems…
Which contributions count? Analysis of attribution in open source
Jean-Gabriel Young, Amanda Casari, Katie McLaughlin +3
Open source software projects usually acknowledge contributions with text files, websites, and other idiosyncratic methods. These data sources are hard to mine, which is why contri…
Universal nonlinear infection kernel from heterogeneous exposure on higher-order networks
Guillaume St-Onge, Hanlin Sun, Antoine Allard +2
The colocation of individuals in different environments is an important prerequisite for exposure to infectious diseases on a social network. Standard epidemic models fail to captu…
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli +11
In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the perva…
Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2
Benjamin M. Althouse, Edward A. Wenger, Joel C. Miller +4
SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely u…
The role of directionality, heterogeneity and correlations in epidemic risk and spread
Antoine Allard, Cristopher Moore, Samuel V. Scarpino +2
Most models of epidemic spread, including many designed specifically for COVID-19, implicitly assume mass-action contact patterns and undirected contact networks, meaning that the…
The effectiveness of backward contact tracing in networks
Sadamori Kojaku, Laurent Hébert-Dufresne, Enys Mones +2
Discovering and isolating infected individuals is a cornerstone of epidemic control. Because many infectious diseases spread through close contacts, contact tracing is a key tool f…
Spread of infectious disease and social awareness as parasitic contagions on clustered networks
Laurent Hébert-Dufresne, Dina Mistry, Benjamin M. Althouse
There is a rich history of models for the interaction of a biological contagion like influenza with the spread of related information such as an influenza vaccination campaign. Rec…
Social confinement and mesoscopic localization of epidemics on networks
Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most mod…
Beyond : Heterogeneity in secondary infections and probabilistic epidemic forecasting
Laurent Hébert-Dufresne, Benjamin M. Althouse, Samuel V. Scarpino +1
The basic reproductive number -- -- is one of the most common and most commonly misapplied numbers in public health. Although often used to compare outbreaks and forecast pan…
On the accuracy of message-passing approaches to percolation in complex networks
Antoine Allard, Laurent Hébert-Dufresne
The Message-Passing Approach (MPA) is the state-of-the-art technique to obtain quasi-analytical predictions for percolation on real complex networks. Besides being intuitive and st…
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…
Smeared phase transitions in percolation on real complex networks
Laurent Hébert-Dufresne, Antoine Allard
Percolation on complex networks is used both as a model for dynamics on networks, such as network robustness or epidemic spreading, and as a benchmark for our models of networks, w…
Percolation and the effective structure of complex networks
Antoine Allard, Laurent Hébert-Dufresne
Analytical approaches to model the structure of complex networks can be distinguished into two groups according to whether they consider an intensive (e.g., fixed degree sequence a…
Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infectious disease
Georg M. Goerg, Oscar Patterson-Lomba, Laurent Hébert-Dufresne +1
The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, treatment capacity, etc.) and health influence…