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Proceedings of the National Academy of Sciences of the United States of America|August 14, 2023
Multidisciplinary learning through collective performance favors decentralizationJohn Meluso, Laurent Hébert-DufresnePlos One|October 13, 2020
State-level variation of initial COVID-19 dynamics in the United StatesEaston R White, Laurent Hébert-DufresneProceedings of the National Academy of Sciences of the United States of America|July 22, 2015
Complex dynamics of synergistic coinfections on realistically clustered networksLaurent Hébert-Dufresne, Benjamin M AlthouseJournal of the Royal Society, Interface|August 8, 2014
Epidemic cycles driven by host behaviourBenjamin M Althouse, Laurent Hébert-DufresnePhysical Review. E|February 18, 2017
Exotic phase transitions of k-cores in clustered networksUttam Bhat, Munik Shrestha, Laurent Hébert-DufresnePhysical Review Letters|March 1, 2024
Compressing the Chronology of a Temporal Network with Graph CommutatorsAndrea J Allen, Cristopher Moore, Laurent Hébert-DufresneNature Communications|May 17, 2025
Characteristic scales and adaptation in higher-order contagionsGiulio Burgio, Guillaume St-Onge, Laurent Hébert-DufresneProceedings of the National Academy of Sciences of the United States of America|December 28, 2023
Nonlinear bias toward complex contagion in uncertain transmission settingsGuillaume St-Onge, Laurent Hébert-Dufresne, Antoine AllardScientific Reports|August 19, 2016
Multi-scale structure and topological anomaly detection via a new network statistic: The onion decompositionLaurent Hébert-Dufresne, Joshua A Grochow, Antoine AllardNature Physics|July 5, 2021
Macroscopic patterns of interacting contagions are indistinguishable from social reinforcementLaurent Hébert-Dufresne, Samuel V Scarpino, Jean-Gabriel YoungPageof 12