👋 I am an Assistant Professor of Mathematics and Statistics at The University of Vermont, VT, USA. I also am a faculty of the Translational Global Infectious diseases Research Center and the Vermont Complex Systems Center. My research is at the intersection of statistical inference, epidemiology, and complex systems.

Previously, I was a James S. McDonnell Foundation Fellow at the Center for the Study of Complex Systems of the University of Michigan, where I was mentored by Prof. Mark Newman. I obtained my PhD in Physics from Université Laval, under the guidance of Prof. Louis J. Dubé and Prof. Patrick Desrosiers.

📃 CV available here (PDF file)

🌐 My lab’s website

Preprints

  • The network epidemiology of an Ebola epidemic
    L. Hébert-Dufresne, J.-G. Young, J. Bedson, L. Skrip, D. Pedi, M. F. Jalloh, B. Raulier, O. Lapointe-Gagné, A. Jambai, A. Allard and B. Althouse
    arXiv.org

  • The promise of cross-species coexpression analysis in studying the coevolution and ecology of host-symbiont interactions
    A. K. Hund, P. Tiffin, J.-G. Young, and D. I. Bolnick
    arXiv.org

  • Symmetry-driven embedding of networks in hyperbolic space
    S. Lizotte, J.-G. Young, and A. Allard
    arXiv.org | Software

  • Governance as a complex, networked, democratic, satisfiability problem
    L. HĂ©bert-Dufresne, N. W. Landry, J. Lovato, J. St-Onge, J.-G. Young, M.-E. Couture-MĂ©nard, S. Bernatchez, C. Choquette, and A. A. Cohen
    arXiv.org | Software

Peer-Reviewed Journals

(listed in inverse chronological order)

  • Reconstructing networks from simple and complex contagions
    N. W. Landry, W. H. W. Thompson, L. HĂ©bert-Dufresne, and J.-G. Young
    Phys. Rev. E 110, L042301 (2024)
    arXiv.org | Journal | Software

  • Network compression with configuration models and the minimum description length
    L. HĂ©bert-Dufresne, J.-G. Young, A. Daniels, A. Kirkley and A. Allard
    Phys. Rev. E 105, 014312 (2024)
    arXiv.org | Journal

  • The simpliciality of higher-order networks
    N. W. Landry, J.-G. Young, and N. Eikmeier
    EPJ Data Sci. 13, 17 (2024)
    arXiv.org | Journal | Software

  • Hypergraph reconstruction from uncertain data
    S.Lizotte, J.-G. Young, and A. Allard
    Sci. Rep. 13, 21364 (2023)
    arXiv.org | Journal | Software

  • Accurately summarizing an outbreak using epidemiological models takes time
    B. K. M. Case, J.-G. Young, and L. HĂ©bert-Dufresne
    R. Soc. Open Sci. 10, 230634 (2023)
    arXiv.org | Journal | Software

  • Opposing responses to scarcity emerge from functionally unique sociality drivers
    A. B. Kao, A. K. Hund, F. P. Santos, J.-G. Young, D. Bhat, J. Garland, R. A. Oomen, and H. F. McCreery
    Am. Nat. 202, 3 (2023)
    bioRxiv.org | Journal

  • Exact and rapid linear clustering of networks with dynamic programming
    A. Patania, A. Allard, and J.-G. Young
    Proc. R. Soc. A 479, 2275 (2023)
    arXiv.org | Journal | Software

  • Compressing network populations with modal networks reveals structural diversity
    A. Kirkley, A. Rojas, M. Rosvall, and J.-G. Young
    Commun. Phys. 6, 148 (2023)
    arXiv.org | Journal | Software

  • Latent network models to account for noisy, multiply-reported social network data
    C. De Bacco, M. Contisciani, J. Cardoso-Silva, H. Safdari, G. Borges, D. Baptista, T. Sweet, J.-G. Young, J. Koster, C. T. Ross, R. McElreath, D. Redhead, and E. A. Power
    J. R. Stat. Soc. A 186, 355 (2023)
    arXiv.org | Journal | Software

  • Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata
    B. K. M. Case, J.-G. Young, D. Penados, L. HĂ©bert-Dufresne, and L. Stevens
    PLOS Negl. Trop. Dis. 16, e0010436 (2022)
    arXiv.org | Journal | Software

  • Impact and dynamics of hate and counter speech online
    J. Garland, K. Ghazi-Zahedi, J.-G. Young, L. HĂ©bert-Dufresne, and M. Galesic
    EPJ Data Sci. 11, 3 (2022)
    arXiv.org | Journal

  • Clustering of heterogeneous populations of networks
    J.-G. Young, A. Kirkley, and M. E. J. Newman
    Phys. Rev. E 105, 014312 (2022)
    arXiv.org | Journal | Software

  • Reconstruction of plant–pollinator networks from observational data
    J.-G. Young, F. S. Valdovinos, and M. E. J. Newman
    Nat. Commun. 12, 3911 (2021)
    bioRxiv.org | Journal | Software

  • Hypergraph reconstruction from network data
    J.-G. Young, G. Petri, and T. P. Peixoto
    Commun. Phys. 4, 135 (2021)
    Focus Collection on Higher-order interaction networks
    arXiv.org | Journal | Software | Slides

  • A clarified typology of core-periphery structure in networks
    R. J. Gallagher, J.-G. Young, and B. Foucault Welles
    Sci. Adv. 7, abc9800 (2021)
    arXiv.org | Journal | Software

  • Bayesian inference of network structure from unreliable data
    J.-G. Young, G. T. Cantwell, and M. E. J. Newman
    J. Complex Netw. 8, cnaa046 (2021)
    arXiv.org | Journal | Software | Tutorial | Slides

  • Inference, model selection, and the combinatorics of growing trees
    G. T. Cantwell, G. St-Onge, and J.-G. Young
    Phys. Rev. Lett. 126, 038301 (2021)
    arXiv.org | Journal | Software

  • Networks beyond pairwise interactions: structure and dynamics
    F. Battiston, G. Cencetti, I. Iacopini, V. Latora, M. Lucas, A. Patania, J.-G. Young, and G. Petri
    Phys. Rep. 874 (2020)
    arXiv.org | Journal

  • Improved mutual information measure for classification and community detection
    M. E. J. Newman, G. T. Cantwell, and J.-G. Young
    Phys. Rev. E 101, 042304 (2020)
    arXiv.org | Journal

  • Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement
    L. HĂ©bert-Dufresne, S. V. Scarpino, and J.-G. Young
    Nat. Phys. 16, 426 (2020)
    arXiv.org | Journal | Supplementary Information | “News and views” by Sune Lehmann | PDF | Software | Slides

  • Phase transition in the recoverability of network history
    J.-G. Young, G. St-Onge, E. Laurence, C. Murphy, L. HĂ©bert-Dufresne, and P. Desrosiers
    Phys. Rev. X 9, 041056 (2019)
    arXiv.org | Journal | Supplementary Information | Software | Slides

  • Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
    G. St-Onge, J.-G. Young, L. Hébert-Dufresne, and L. J. Dubé
    Computer Physics Communications 240, 30 (2019)
    arXiv.org | Journal | Software

  • Universality of the stochastic block model
    J.-G. Young, G. St-Onge, P. Desrosiers, and L. J. Dubé
    Phys. Rev. E 98, 032309 (2018)
    arXiv.org | Journal | Slides

  • Exact analytical solution of irreversible binary dynamics on networks
    E. Laurence, J.-G. Young, S. Melnik, and L. J. Dubé
    Phys. Rev. E 97, 032302 (2018)
    arXiv.org | Journal | Software

  • Phase transition of the susceptible-infected-susceptible dynamics on time-varying configuration model networks
    G. St-Onge, J.-G. Young, E. Laurence, C. Murphy, and L. J. Dubé
    Phys. Rev. E 97, 022305 (2018)
    arXiv.org | Journal | Short note

  • Construction of and efficient sampling from the simplicial configuration model
    J.-G. Young, G. Petri, F. Vaccarino, and A. Patania
    Phys. Rev. E 96, 032312 (2017)
    arXiv.org | Journal | Slides | Software

  • Strategic tradeoffs in competitor dynamics on adaptive networks
    L. Hébert-Dufresne, A. Allard, P.-A. Noël, J.-G. Young, and E. Libby
    Sci. Rep. 7, 7576 (2017)
    arXiv.org | Journal

  • Finite size analysis of the detectability limit of the stochastic block model
    J.-G. Young, P. Desrosiers, L. Hébert-Dufresne, E. Laurence, and L. J. Dubé
    Phys. Rev. E 95, 062304 (2017)
    arXiv.org | Journal | Software

  • Growing networks of overlapping communities with internal structure
    J.-G. Young, L. Hébert-Dufresne, A. Allard, and L. J. Dubé
    Phys. Rev. E 94, 022317 (2016)
    arXiv.org | Journal | Slides | Software

  • Constrained growth of complex scale-independent systems
    L. Hébert-Dufresne, A. Allard, J.-G. Young, and L. J. Dubé
    Phys. Rev. E 93, 032304 (2016)
    Editors’ Suggestion
    arXiv.org | Journal

  • Complex networks as an emerging property of hierarchical preferential attachment
    L. Hébert-Dufresne, E. Laurence, A. Allard, J.-G. Young, and L. J. Dubé
    Phys. Rev. E 92, 062809 (2015)
    arXiv.org | Journal | Poster | Software

  • General and exact approach to percolation on random graphs
    A. Allard, L. Hébert-Dufresne, J.-G. Young, and L. J. Dubé
    Phys. Rev. E 92, 062807 (2015)
    arXiv.org | Journal

  • A shadowing problem in the detection of overlapping communities:
    lifting the resolution limit through a cascading procedure
    J.-G. Young, A. Allard, L. Hébert-Dufresne, and L. J. Dubé
    PLoS ONE 10, e0140133 (2015)
    arXiv.org | Journal | Software

  • Coexistence of phases and the observability of random graphs
    A. Allard, L. Hébert-Dufresne, J.-G. Young, and L. J. Dubé
    Phys. Rev. E 89, 022801 (2014)
    Editors’ Suggestion
    arXiv.org | Journal

  • Percolation on random networks with arbitrary k-core structure
    L. Hébert-Dufresne, A. Allard, J.-G. Young, and L. J. Dubé
    Phys. Rev. E 88, 062820 (2013)
    arXiv.org | Journal

  • Global efficiency of local immunization on complex networks
    L. Hébert-Dufresne, A. Allard, J.-G. Young, and L. J. Dubé
    Sci. Rep. 3, 2171 (2013)
    arXiv.org | Journal

Conference Proceedings

  • The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories
    M. Warrick, S. F. Rosenblatt, J.-G. Young, A. Casari, L. HĂ©bert-Dufresne, and J. P. Bagrow
    MSR 2022, Proceedings of the 2022 IEEE/ACM 18th International Conference on Mining Software Repositories (2022)
    arXiv.org | Proceeding | Dataset

  • Cutting through the noise to infer autonomous system topology
    K. G. Leyba, J. J. Daymude, J.-G. Young, M. E. J. Newman, J. Rexford, and S. Forrest
    INFOCOM 2022, IEEE Conference on Computer Communications, pp. 1609-1618 (2022)
    arXiv.org | Proceeding | Software

  • Which contributions count? Analysis of attribution in open source
    J.-G. Young, A. Casari, K. McLaughlin, M. Z. Trujillo, L. HĂ©bert-Dufresne, and J. P. Bagrow
    MSR 2021, Proceedings of the 2021 IEEE/ACM 17th International Conference on Mining Software Repositories (2021)
    FOSS Award
    arXiv.org | Proceeding | Software

  • Countering hate on social media: Large scale classification of hate and counter speech
    J. Garland, K. Ghazi-Zahedi, J.-G. Young, L. HĂ©bert-Dufresne, and M. Galesic
    ACL 2020, Proceedings of the Fourth Workshop on Online Abuse and Harm, pp. 102-112 (2020)
    arXiv.org | Proceeding

  • Connected graphs with a given degree sequence: efficient sampling, correlations, community detection and robustness
    J. H. Ring IV, J.-G. Young, and L. HĂ©bert-Dufresne
    NetSci-X 2020, Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science, pp. 33-47 (2020)
    PDF | Proceeding

Other edited work

  • Book review: Advances in Network Clustering and Blockmodeling
    J.-G. Young
    J. Soc. Struct. 23, 47 (2022)
    Journal

  • Open source ecosystems need equitable credit across contributions
    A. Casari, K. McLaughlin, M. Z. Trujillo, J.-G. Young, J. P. Bagrow, and L. HĂ©bert-Dufresne
    Nat. Comput. Sci. 1, 2 (2021)
    Journal

Theses

  • InfĂ©rence et rĂ©seaux complexes (french)
    (Inference and complex networks)
    Ph.D. Thesis, Université Laval (2018)
    Corpus | PDF

  • De la dĂ©tection de la structure communautaire des rĂ©seaux complexes (french)
    (Of community structure detection on complex networks)
    M.Sc. Thesis, Université Laval (2014)
    Corpus | PDF

Contact