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Jean-Gabriel Young

University of Vermont

40 papers hereh-index 182.7k citations64 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author24
  • last author7

Across the 40 of 40 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph19
  • cs.SI12
  • q-bio.PE3
  • cond-mat.stat-mech2
  • cs.CY2
  • cs.SE1
affiliations
  • University of Vermont
Homepage
same name
  • Jean-Gabriel Young — 4 papers, h 2
  • Jean-Gabriel Young — 3 papers, h 4
  • Jean-Gabriel Young — 2 papers, h 1
  • Jean-Gabriel Young — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122025
most citedNetworks beyond pairwise interactions: structure and dynamics

1.6k citations · 2.4k across the 37 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.SI2025

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…

q-bio.PE2025

Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions

Mariah C. Boudreau, William H. W. Thompson, Christopher M. Danforth +2

Epidemic forecasting tools embrace the stochasticity and heterogeneity of disease spread to predict the growth and size of outbreaks. Conceptually, stochasticity and heterogeneity…

physics.soc-ph2025★ 1 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.