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Reconstructing higher-order interactions in coupled dynamical systems

Federico Malizia, Alessandra Corso, Lucia Valentina Gambuzza, Giovanni Russo, Vito Latora, Mattia Frasca

2024Nature Communications42 citationsDOIOpen Access PDF

Abstract

Higher-order interactions play a key role for the operation and function of a complex system. However, how to identify them is still an open problem. Here, we propose a method to fully reconstruct the structural connectivity of a system of coupled dynamical units, identifying both pairwise and higher-order interactions from the system time evolution. Our method works for any dynamics, and allows the reconstruction of both hypergraphs and simplicial complexes, either undirected or directed, unweighted or weighted. With two concrete applications, we show how the method can help understanding the complexity of bacterial systems, or the microscopic mechanisms of interaction underlying coupled chaotic oscillators.

Topics & Concepts

Pairwise comparisonComputer scienceOrder (exchange)ChaoticFunction (biology)Complex systemDynamical systems theoryKey (lock)Theoretical computer scienceBiological systemStatistical physicsTopology (electrical circuits)Artificial intelligenceMathematicsPhysicsBiologyCombinatoricsEvolutionary biologyEconomicsQuantum mechanicsComputer securityFinanceProtein Structure and DynamicsNonlinear Dynamics and Pattern FormationNeural dynamics and brain function
Reconstructing higher-order interactions in coupled dynamical systems | Litcius