Author

F. Fagnani

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Preprint Oct 2026

Targeting Interventions for Volatility Reduction in Network Systems - Part I: Idiosyncratic Shocks

We study optimal intervention design problems aimed at minimizing the aggregate volatility in network systems. We consider linear network equilibrium models arising in network games, production networks, and opinion dynamics, where exogenous shocks hitting a few nodes can propagate through the network and cause detrime...

Luca Damonte, Leonardo Cianfanelli, G. Como et al. · 0 citations

Preprint Sep 2026

Intervention problems in the Linear Threshold Model: A general formulation and new results

We study an optimal intervention problem for linear threshold models. This is a popular class of dynamical network systems whereby a number of agents, identified with the nodes of a graph, strategically change their binary action (0 or 1) according to a threshold rule. Specifically, an agent adopts action 1 if and only...

Giacomo Como, F. Fagnani, Stéphane Durand · 0 citations

Preprint Aug 2026

Pivot-and-Station Multi-Agent Path Finding: Solvability, Complexity, and Algorithms

This work introduces Pivot-and-Station Multi-Agent Path Finding (PS-MAPF), a MAPF variant in which a subset of tasked agents must each visit one of a set of interchangeable pivots before the entire fleet terminates at anonymous stations, one agent per station.

Andrea Di Nezza, Mihir P Patel, F. Fagnani et al. · 0 citations