Jean-Gabriel Young

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Laurent Hébert-DufresneUniversity of VermontVerified email at uvm.edu
Antoine AllardUniversité LavalVerified email at phy.ulaval.ca
Giovanni PetriProfessor, Network Science Institute, Northeastern University LondonVerified email at nulondon.ac.uk
Alice PataniaAssistant Professor, Department of Mathematics and Statistics, University of VermontVerified email at uvm.edu
Mark NewmanProfessor of Physics, University of MichiganVerified email at umich.edu
Edward LaurenceHectiq AIVerified email at ulaval.ca
Giulia CencettiAix-Marseille Univ, Université de Toulon, CNRS, Centre de Physique ThéoriqueVerified email at cpt.univ-mrs.fr
Iacopo IacopiniAssociate Professor, Network Science Institute, Northeastern University LondonVerified email at nulondon.ac.uk
Federico BattistonAssociate Professor & PhD Director, Dept. of Network and Data Science, Central European UniversityVerified email at ceu.edu
Vito LatoraProfessor of Applied Mathematics (Chair of Complex Systems), Queen Mary University of LondonVerified email at qmul.ac.uk
Maxime LucasNamur Institute for Complex SystemsVerified email at unamur.be
George T. CantwellUniversity of CambridgeVerified email at umich.edu
Charles MurphyUniversité LavalVerified email at ulaval.ca
Joshua GarlandArizona State UniversityVerified email at asu.edu
Patrick DesrosiersCERVO Brain Research Center, Université LavalVerified email at phy.ulaval.ca
Keyan Ghazi-ZahediArizona State UniversityVerified email at asu.edu
Mirta GalesicProfessor, Santa Fe Institute and Complexity Science Hub ViennaVerified email at santafe.edu
James BagrowAssociate Professor, Mathematics & Statistics, University of VermontVerified email at uvm.edu
Amanda CasariGoogleVerified email at google.com
Samuel V. Scarpino, PhDDirector of AI + Life Sciences, Northeastern UniversityVerified email at utexas.edu

Jean-Gabriel Young

University of Vermont

Verified email at uvm.edu - Homepage

Data Science Computational Statistics Infectious Disease Modeling Networks


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Networks beyond pairwise interactions: Structure and dynamics F Battiston, G Cencetti, I Iacopini, V Latora, M Lucas, A Patania, JG Young, ... Physics reports 874, 1-92, 2020	1395	2020
Global efficiency of local immunization on complex networks L Hébert-Dufresne, A Allard, JG Young, LJ Dubé Scientific reports 3 (1), 2171, 2013	149	2013
Hypergraph reconstruction from network data JG Young, G Petri, TP Peixoto Communications Physics 4 (1), 135, 2021	111	2021
A clarified typology of core-periphery structure in networks RJ Gallagher, JG Young, BF Welles Science advances 7 (12), eabc9800, 2021	95	2021
Bayesian inference of network structure from unreliable data JG Young, GT Cantwell, MEJ Newman Journal of Complex Networks 8 (6), cnaa046, 2020	90	2020
Countering hate on social media: Large scale classification of hate and counter speech J Garland, K Ghazi-Zahedi, JG Young, L Hébert-Dufresne, M Galesic arXiv preprint arXiv:2006.01974, 2020	89	2020
Construction of and efficient sampling from the simplicial configuration model JG Young, G Petri, F Vaccarino, A Patania Physical Review E 96 (3), 032312, 2017	85	2017
Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement L Hébert-Dufresne, SV Scarpino, JG Young Nature Physics 16 (4), 426-431, 2020	82	2020
Improved mutual information measure for clustering, classification, and community detection MEJ Newman, GT Cantwell, JG Young Physical Review E 101 (4), 042304, 2020	81	2020
Impact and dynamics of hate and counter speech online J Garland, K Ghazi-Zahedi, JG Young, L Hébert-Dufresne, M Galesic EPJ data science 11 (1), 3, 2022	80	2022
Reconstruction of plant–pollinator networks from observational data JG Young, FS Valdovinos, MEJ Newman Nature Communications 12 (1), 3911, 2021	49	2021
General and exact approach to percolation on random graphs A Allard, L Hébert-Dufresne, JG Young, LJ Dubé Physical Review E 92 (6), 062807, 2015	43	2015
Universality of the stochastic block model JG Young, G St-Onge, P Desrosiers, LJ Dubé Physical Review E 98 (3), 032309, 2018	42	2018
Phase Transition in the Recoverability of Network History JG Young, G St-Onge, E Laurence, C Murphy, L Hébert-Dufresne, ... Physical Review X 9 (4), 041056, 2019	39*	2019
Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm G St-Onge, JG Young, L Hébert-Dufresne, LJ Dubé Computer physics communications 240, 30-37, 2019	38	2019
Phase transition of the susceptible-infected-susceptible dynamics on time-varying configuration model networks G St-Onge, JG Young, E Laurence, C Murphy, LJ Dubé Physical Review E 97 (2), 022305, 2018	37*	2018
Percolation on random networks with arbitrary -core structure L Hébert-Dufresne, A Allard, JG Young, LJ Dubé Physical Review E 88 (6), 062820, 2013	36	2013
Which contributions count? Analysis of attribution in open source JG Young, A Casari, K McLaughlin, MZ Trujillo, L Hébert-Dufresne, ... 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021	27	2021
Complex networks as an emerging property of hierarchical preferential attachment L Hébert-Dufresne, E Laurence, A Allard, JG Young, LJ Dubé Physical Review E 92 (6), 062809, 2015	20	2015
Growing networks of overlapping communities with internal structure JG Young, L Hébert-Dufresne, A Allard, LJ Dubé Physical Review E 94 (2), 022317, 2016	19	2016

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