collaborators

8 papers

physics.soc-ph2026

Two-mode geometry controls multiscale organization in bipartite systems

Ottavia Falconi, Giulio Cimini, Pablo Villegas

Many complex systems are organized around complementary roles and naturally described as bipartite networks. Unveiling their multiscale structure presents a fundamental challenge b…

econ.GN2026

Topology as information: Network effects in corporate lending

Anna Pirogova, Anna Mancini, Tiziano Squartini +1

A central challenge in financial economics is understanding how credit networks form under informational noise. We introduce the concept of topological capital, arguing that banks…

physics.soc-ph2026

Modeling structure and credit risk of the economy: a multilayer bank-firm network approach

Soumen Majhi, Anna Mancini, Giulio Cimini

Assessing the resilience of the economy requires accounting for its intrinsic multi-layer nature, by assessing for instance how disruptions at the firm level spread through the pro…

physics.soc-ph2026

Missing links prediction: comparing machine learning with physics-rooted approaches

Francesca Santucci, Giulio Cimini, Tiziano Squartini

An active research line within the broader field of network science is the one concerning link prediction. Close in scope to network reconstruction, link prediction targets specifi…

physics.soc-ph2026

Block-Fitness Modeling of the Global Air Mobility Network

Giulia Fischetti, Anna Mancini, Giulio Cimini +4

Accurate representations of the World Air Transportation Network (WAN) are fundamental inputs to models of global mobility, epidemic risk, and infrastructure planning. However, hig…

physics.flu-dyn2026

Inferring the Turbulent Breakup of Colloidal Aggregates Using Graph Neural Networks

Michele Buzzicotti, Massimo Cencini, Giulio Cimini +2

Solid aggregates in turbulent suspensions may break under the action of shear stresses. We explore the use of Graph Neural Networks (GNN) to infer aggregate fragmentation once the…