3 papers
physics.soc-ph2026
Dynamical processes and emergent behaviors in multiplex networks
Federico Battiston, Mattia Frasca, Jesus Gómez-Gardeñes +4
Over the last two decades, network science has greatly advanced our understanding of how the collective behaviors of a complex system emerge from the interactions among its basic u…
eess.SP2025
From Nodes to Edges: Edge-Based Laplacians for Brain Signal Processing
Andrea Santoro, Marco Nurisso, Giovanni Petri
Traditional graph signal processing (GSP) methods applied to brain networks focus on signals defined on the nodes. Thus, they are unable to capture potentially important dynamics o…
physics.soc-ph2025
The networks of ingredient combinations as culinary fingerprints of world cuisines
Claudio Caprioli, Saumitra Kulkarni, Federico Battiston +3
Investigating how different ingredients are combined in popular dishes is crucial to uncover the principles behind food preferences. Here, we use data from public food repositories…