Lipari School 2024: Complex Systems from economics to biology and brain

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”

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 […]

Evidence of scale-free clusters of vegetation in tropical rainforests

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 […]

Uncovering Networks in Rainforest Plants

The resilience of an ecosystem to environmental and human-induced change may depend on how the system’s plants are arranged. Do they form patchy clumps or networks extending over the whole terrain? A team of researchers in Italy, led by Pablo Villegas, has now shown that, in a tropical rainforest in Panama, the dominant plant species […]

Noise cleaning the precision matrix of short time series

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 […]

Climate change: artificial intelligence, complex networks e stochastic methods for measuring impact

la ricerca Head of Research Andrea Gabrielli e Fabrizio Coccetti Scientific content and goals This new project aims to apply modern methods of complex networks and artificial intelligence to the study and analysis of time series related to the problems of climate evolution and its natural and social impacts. In recent years, the Copernicus Climate […]

A zoom lens for networks

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

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 […]