Consensus dynamics are ubiquitous in control theory, with applications spanning from technological fields to social sciences. In this letter, we evaluate the impact of higher-order, many-body interactions on the ability of the network to attain consensus. Modeling multi-body interactions with circulating directed hypergraphs, we provide for the first time global conditions for average consensus in the presence of time-varying and possibly non-smooth coupling protocols. Our results are then applied to study the effect of homophily in opinion dynamics.

Nonlinear Average Consensus Over Circulating Directed Hypergraphs

Liuzza, Davide;
2025-01-01

Abstract

Consensus dynamics are ubiquitous in control theory, with applications spanning from technological fields to social sciences. In this letter, we evaluate the impact of higher-order, many-body interactions on the ability of the network to attain consensus. Modeling multi-body interactions with circulating directed hypergraphs, we provide for the first time global conditions for average consensus in the presence of time-varying and possibly non-smooth coupling protocols. Our results are then applied to study the effect of homophily in opinion dynamics.
2025
Consensus
directed hypergraphs
higher-order interactions
multi-agent systems
networks
nonlinear protocols
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/71845
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