Network Theory and Applications to Complex Systems

FOCUS · A02 · ID: 1088192

Presentations

  • Collective dynamical regimes and synchronization transitions in brain networks

    ORAL · Invited

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    Publication: - Landau-Ginzburg theory of cortex dynamics: scale-free avalanches emerge at the edge of synchronization S. di Santo, P. Villegas, R. Burioni, M.A. Munoz, Proceedings of the National Academy of Science, 13 115 (7) E1356-E1365 (2018)
    - Hybrid collective excitability: where marginal synchronization, scale-free avalanches and dynamical complexity live together
    V. Buendia, P. Villegas, R. Burioni, M.A. Munoz Phys. Rev. Research 3, 023224 (2021)
    - The broad edge of synchronization, Griffiths-effects and collective phenomena in brain networks, V. Buendia, P. Villegas, R. Burioni, M.A. Munoz Phil. Trans. R. Soc. A 380: 20200424. (2022)

    Presenters

    • Raffaella Burioni

      University of Parma Italy

    Authors

    • Raffaella Burioni

      University of Parma Italy

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  • Network Reconstruction from Noisy and Incomplete Spreading Dynamics

    ORAL

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    Publication: 1. Wilinski, Mateusz, and Andrey Lokhov. "Prediction-centric learning of independent cascade dynamics from partial observations." International Conference on Machine Learning. PMLR, 2021.
    2. Wilinski, Mateusz, and Andrey Lokhov. "Network Reconstruction from Noisy and Incomplete Spreading Dynamics." In preparation.

    Presenters

    • Mateusz Wilinski

      Los Alamos National Laboratory

    Authors

    • Mateusz Wilinski

      Los Alamos National Laboratory

    • Andrey Y Lokhov

      Los Alamos National Laboratory

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  • Deep Learning for Network Attack and Defense

    ORAL

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    Publication: [1] Dai, H., Khalil, E. B., Zhang, Y., Dilkina, B. & Song, L. Learning combinatorial optimiza- tion algorithms over graphs. In Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS'17, 6351–6361 (Curran Associates Inc.).
    [2] Fan, C., Zeng, L., Sun, Y. & Liu, Y.-Y. Finding key players in complex networks through deep reinforcement learning. Nature Machine Intelligence 2, 317–324 (2020). URL https: //doi.org/10.1038/s42256-020-0177-2.

    Presenters

    • Jordan D Lanctot

      Toronto Metropolitan University, Ryerson University

    Authors

    • Jordan D Lanctot

      Toronto Metropolitan University, Ryerson University

    • Sean P Cornelius

      Northeastern University, Toronto Metropolitan University

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  • Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL)

    ORAL

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    Presenters

    • TANIA GHOSH

      Department of Physics, University of Houston and Texas Center for Superconductivity, University ofHouston

    Authors

    • TANIA GHOSH

      Department of Physics, University of Houston and Texas Center for Superconductivity, University ofHouston

    • R. K. P. Zia

      Department of Physics, University of Houston and Department of Physics, Virginia Tech

    • Kevin E Bassler

      Department of Physics, University of Houston and Texas Center for Superconductivity, University ofHouston

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  • Master stability function for frequency synchronization in laser networks

    ORAL

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    Presenters

    • Mostafa Honari Latifpour

      The Graduate Center, City University of, The Graduate Center, CUNY

    Authors

    • Mostafa Honari Latifpour

      The Graduate Center, City University of, The Graduate Center, CUNY

    • Jiajie Ding

      The Graduate Center, City University of New York

    • Igor Belykh

      Georgia State University

    • Mohammad-Ali Miri

      City University of New York / Queens College, Queen's College

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  • Fractional centralities on networks: Consolidating the local and the global

    ORAL

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    Publication: Lee, K. J., Lee, K. A., Kook, W., & Lee, T. (2022). Fractional centralities on networks: Consolidating the local and the global. Physical Review E, 106(3), 034310.

    Presenters

    • Kang-Ju Lee

      Seoul National University

    Authors

    • Kang-Ju Lee

      Seoul National University

    • Ki-Ahm Lee

      Seoul National University

    • Woong Kook

      Seoul National University

    • Taehun Lee

      Korea Institute for Advanced Study

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