Il progetto di Fisica Statistica e Sistemi Complessi nelle Scienze Naturali si articola in linee di ricerca strettamente interconnesse, focalizzate sulla comprensione e modellazione multiscala di sistemi complessi naturali. Le principali direttrici includono: Lo sviluppo e il consolidamento del Gruppo di Rinormalizzazione Laplaciano per l’analisi multiscala di reti complesse eterogenee; Applicazioni interdisciplinari in diversi ambiti […]
We live in a world of interconnected systems. From the intricate web of the internet to the complex network of neurons in our brains, understanding how these connections work is crucial.One key concept in understanding these complex systems is “scale invariance.” This means that the system looks similar at different levels of detail. For example, […]
Phys. Rev. Research 7, 013065 – Published 17 January, 2025 DOI: https://doi.org/10.1103/PhysRevResearch.7.013065 Authors: Pablo Villegas (CREF), Andrea Gabrielli (CREF, Roma 3), Anna Poggialini (CREF, Sapienza), Tommaso Gili (IMT Scuola Alti Studi Lucca , ISC) Abstract: Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. Determining the multiscale mesoscopic organization of clusters and intertwined structures […]
The 2024 edition of the Lipari Summer School on Complex Systems will take place from July 1st to July 7th. Organised by, among others, our Scientific Director Andrea Gabrielli and Tiziana di Matteo, a member of the CREF CDA’s board of directors, it will bring together experts in complex systems from all over the world, […]
Forecasting the countries’ gross domestic product growth: The case of Technological Fitness Authors: Orazio Angelini (King’s College London), Andrea Gabrielli (CREF- Roma3) Andrea Tacchella (CREF) Andrea Zaccaria (ISC-CNR, Roma3), Luciano Pietronero (CREF, ISC-CNR), Tiziana Di Matteo (CREF, King’s College London, CSH Vienna) in Chaos, Solitons and Franctals vol 184 https://doi.org/10.1016/j.chaos.2024.115006 The cornerstone of Economic Complexity […]
Tropical rainforests exhibit a rich repertoire of spatial patterns emerging from the intricate relationship between the microscopic interaction between species. In particular, the distribution of vegetation clusters can shed much light on the underlying process that regulates the ecosystem. Analyzing the distribution of vegetation clusters at different resolution scales, we show the first robust evidence […]
La resilienza di un ecosistema ai cambiamenti ambientali e indotti dall’uomo può dipendere dal modo in cui sono sono disposti gli impianti del sistema. Formano gruppi o reti irregolari che si estendono su tutto il terreno? Pablo Villegas, insieme ad altri ricercatori, ha ora dimostrato che, in una foresta pluviale tropicale a Panama, le specie […]
Miguel Ibáñez-Berganza (Networks Unit, IMT School for Advanced Studies Lucca and Istituto Italiano di Tecnologia, Napoli), Carlo Lucibello (AI Lab, Institute for Data Science and Analytics, Bocconi University, Milano), Francesca Santucci and Tommaso Gili( Networks Unit, IMT School for Advanced Studies Lucca), Andrea Gabrielli (Dipartimento di Ingegneria Civile, Informatica e delle Tecnologie Aeronautiche, Universitá degli […]
Renormalization is a technique based on a repeated coarse-graining procedure used to study scale invariance and criticality in statistical physics. Now, an expansion of the renormalization toolbox allows to explore scale invariance in real-world networks. Kostastin Klemmer commented on Laplacian renormalization group for heterogeneous networks Read the Article in PDF
Laplacian renormalization group for heterogeneous networks Authors : Pablo Villegas, Tommaso Gili, Guido Caldarelli & Andrea Gabrielli Published in: Nature Physics 19, pages445–450 (2023) The renormalization group is the cornerstone of the modern theory of universality and phase transitions, and it is a powerful tool to scrutinize symmetries and organizational scales in dynamical systems. However, its application to complex networks […]
