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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)<br>- Hybrid collective excitability: where marginal synchronization, scale-free avalanches and dynamical complexity live together<br>V. Buendia, P. Villegas, R. Burioni, M.A. Munoz Phys. Rev. Research 3, 023224 (2021)<br>- 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.<br>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.).<br>[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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