Search Results for author: Jean-Gabriel Young

Found 16 papers, 10 papers with code

Exact and rapid linear clustering of networks with dynamic programming

1 code implementation25 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.

Accurately summarizing an outbreak using epidemiological models takes time

1 code implementation20 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.

The Promise of Cross-Species Coexpression Analysis in Studying the Coevolution and Ecology of Host-Symbiont Interactions

no code implementations25 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.

The network epidemiology of an Ebola epidemic

no code implementations16 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.


Impact and dynamics of hate and counter speech online

no code implementations16 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.

Hypergraph reconstruction from network data

no code implementations11 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.

Bayesian inference of network structure from unreliable data

1 code implementation7 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

A Clarified Typology of Core-Periphery Structure in Networks

1 code implementation20 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

Recovering the past states of growing trees

2 code implementations10 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

Interacting contagions are indistinguishable from social reinforcement

1 code implementation4 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

Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm

3 code implementations15 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

Universality of the stochastic block model

no code implementations11 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.

Community Detection Stochastic Block Model

Phase transition in the recoverability of network history

1 code implementation25 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.

Construction of and efficient sampling from the simplicial configuration model

2 code implementations29 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

Finite size analysis of the detectability limit of the stochastic block model

1 code implementation31 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

Cannot find the paper you are looking for? You can Submit a new open access paper.