Cutting-Edge Research Activities in Network Dynamics and Analysis
Explore the diverse research activities of the Lincoln Project INFN Gruppo IV, ranging from statistical and dynamical properties of networks to the dynamics of polymer networks and neural resilience. Dive into studies on synchronization problems in neural networks, COVID-19 epidemic forecasting, and nonlinear beam dynamics. This collaborative effort involves notable figures and institutions, pushing the boundaries of scientific inquiry.
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Presentation Transcript
Lincoln Project INFN Gruppo IV Lincoln Project INFN Gruppo IV Research Activities Statistical and dynamical properties of artificial and real networks (T1) Dynamics of topologically entangled polymer networks (T2) Contact networks in epigenetics and protein folding dynamics (T3) Resilience and control of neural and ecological networks (T4) Interplay between social and information networks (T5) Statistics and dynamics of quantum networks (T6) Bologna section: Armando Bazzani (Local coordinator), Mirko Degli Esposti, Daniel Remondini. Phd and Postodc: Giulio Colombini, Federico Capoani, Alessandra Merlotti
INFN INFN Sections Sections involved involved INFN Section: Padova [PD] (National coordination) INFN Section: Firenze [FI] INFN Section: Bologna [BO] INFN Section: Rende-Cosenza [RC] INFN Section: Perugia-Camerino [PgCa]
Research Research Activity 2022 Activity 2022 Synchronization problem of neural network using Fitzhugh-Nagumo delayed model has been considered proving the existence of global and local synchronized state and pointing out the role of delay time on the limit cycle for the neuron activity. Failure detection on a transport network when a link capacity is reduced, by studying the sensitivity of the stationary state using the spectral properties of the Laplacian matrix. Data driven compartmental model based on delay differential equations to forecast the Covid-19 epidemic evolution to forecast the hospitalization data in Bologna. Nonlinear Beam dynamics: dynamics aperture and beams manipulaton (Activity in Bologna)
Some Some References References A Bazzani, F Capoani, M Giovannozzi Analysis of adiabatic trapping phenomena for quasi-integrable area-preserving maps in the presence of time-dependent exciters Physical Review E 106 (3), 034204 (2022) C Mizzi, A Fabbri, G Colombini, F Bertini, A Bazzani A survival model to explain the statistical properties of multimodal mobility Journal of Statistical Mechanics: Theory and Experiment 2022 (2), 023404 S Polizzi, T Marzi, T Matteuzzi, G Castellani, A Bazzani Random Walk Approximation for Stochastic Processes on Graphs Entropy 25 (3), 394 (2023) L. Squadrani, N. Curti, E. Giampieri, D. Remondini, B. Blais, G. Castellani Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization, Entropy 2022, 24(5), 682 Collaborations: Telecom, Bologna Municipality, Regione Emilia Romagna, AUSL of Bologna
Main Main Scientific Goals Scientific Goals 1) The development of a Non-equilibrium Statistical Physics joining the Stochastic Dynamical Systems Theory with the Statistical Mechanics approach. 2) Providing relevant applications of Theoretical Physics methods and Non linear Dynamical Systems to biological and social systems
Universal Universal properties properties of of Complex Systems Complex Systems Studying Human Mobility Durations distribution of multimodal mobility: MDT Telecom dataset in Rimini
Future Activities Future Activities Applying Dynamical Systems Theory to Complex Systems towards a Non-equilibrium Statistical Physics: mesoscopic point of view Developing dynamical models on graphs for transport systems: congestion dynamics and optimization strategies Extending the Entropy concept to explain biological and social systems Connection with PNRR projects and third mission activities of Theoretical Physics
mirko degli esposti@INFN: entropy, information, irreversibility and applications (research and third mission)
