1 code implementation • 25 Jan 2023 • 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, such as prestige hierarchies or the similarity dimension of hyperbolic embeddings.
1 code implementation • 20 Jan 2023 • B. K. M. Case, Jean-Gabriel Young, Laurent Hébert-Dufresne
Recent outbreaks of monkeypox and Ebola, and worrying waves of COVID-19, influenza and respiratory syncytial virus, have all led to a sharp increase in the use of epidemiological models to estimate key epidemiological parameters.
no code implementations • 25 Jun 2022 • Amanda K Hund, Peter Tiffin, Jean-Gabriel Young, Daniel I Bolnick
Measuring gene expression simultaneously in both hosts and symbionts offers a powerful approach to explore the biology underlying species interactions.
no code implementations • 16 Nov 2021 • Laurent Hébert-Dufresne, Jean-Gabriel Young, Jamie Bedson, Laura A. Skrip, Danielle Pedi, Mohamed F. Jalloh, Bastian Raulier, Olivier Lapointe-Gagné, Amara Jambai, Antoine Allard, Benjamin M. Althouse
We leverage the data collected by the surveillance and contact tracing protocols of the Sierra Leone Ministry of Health and Sanitation, the US Centers for Disease Control and Prevention, and other responding partners to validate a network epidemiology framework connecting the population (incidence), community (local forecasts), and individual (secondary infections) scales of disease transmission.
no code implementations • 16 Sep 2020 • Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse.
no code implementations • 11 Aug 2020 • Jean-Gabriel Young, Giovanni Petri, Tiago P. Peixoto
Pairwise representations nonetheless remain ubiquitous, because higher-order interactions are often not recorded explicitly in network data.
1 code implementation • 7 Aug 2020 • 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.
Social and Information Networks Physics and Society Applications
no code implementations • EMNLP (ALW) 2020 • Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence.
1 code implementation • 20 May 2020 • 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.
Social and Information Networks Computers and Society Physics and Society
2 code implementations • 10 Oct 2019 • George T. Cantwell, Guillaume St-Onge, Jean-Gabriel Young
In principle one can reconstruct the past states of a growing network from only its current state.
Social and Information Networks Physics and Society
1 code implementation • 4 Jun 2019 • 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 source.
Physics and Society Dynamical Systems Populations and Evolution
3 code implementations • 15 Aug 2018 • Guillaume St-Onge, Jean-Gabriel Young, Laurent Hébert-Dufresne, Louis J. Dubé
Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks.
Physics and Society Social and Information Networks
no code implementations • 11 Jun 2018 • Jean-Gabriel Young, Guillaume St-Onge, Patrick Desrosiers, Louis J. Dubé
Mesoscopic pattern extraction (MPE) is the problem of finding a partition of the nodes of a complex network that maximizes some objective function.
1 code implementation • 25 Mar 2018 • Jean-Gabriel Young, Guillaume St-Onge, Edward Laurence, Charles Murphy, Laurent Hébert-Dufresne, Patrick Desrosiers
Network growth processes can be understood as generative models of the structure and history of complex networks.
2 code implementations • 29 May 2017 • Jean-Gabriel Young, Giovanni Petri, Francesco Vaccarino, Alice Patania
Simplicial complexes are now a popular alternative to networks when it comes to describing the structure of complex systems, primarily because they encode multi-node interactions explicitly.
Physics and Society Statistics Theory Methodology Statistics Theory
1 code implementation • 31 Dec 2016 • Jean-Gabriel Young, Patrick Desrosiers, Laurent Hébert-Dufresne, Edward Laurence, Louis J. Dubé
We then distinguish the concept of average detectability from the concept of instance-by-instance detectability and give explicit formulas for both definitions.
Physics and Society Information Theory Information Theory