Network Theory and Applications to Complex Systems

FOCUS · A02 · ID: 1088192

Presentations

  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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