activity
20182023
most citedControlling the uncertain response of real multiplex networks to random damage

47 citations · 194 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cond-mat.stat-mech2022★ 7 cited

Convergence of the Integral Fluctuation Theorem estimator for nonequilibrium Markov systems

Francesco Coghi, Lorenzo Buffoni, Stefano Gherardini

The Integral Fluctuation Theorem for entropy production (IFT) is among the few equalities that are known to be valid for physical systems arbitrarily driven far from equilibrium. M…

cond-mat.stat-mech2022★ 7 cited

Adaptive power method for estimating large deviations in Markov chains

Francesco Coghi, Hugo Touchette

We study the performance of a stochastic algorithm based on the power method that adaptively learns the large deviation functions characterizing the fluctuations of additive functi…

cond-mat.stat-mech2022★ 8 cited

Delocalization-localization dynamical phase transition of random walks on graphs

Giorgio Carugno, Pierpaolo Vivo, Francesco Coghi

We consider random walks evolving on two models of connected and undirected graphs and study the exact large deviations of a local dynamical observable. We prove, in the thermodyna…

cond-mat.stat-mech2022★ 4 cited

Maximal dispersion of adaptive random walks

Gabriele Di Bona, Leonardo Di Gaetano, Vito Latora +1

Maximum entropy random walks (MERWs) are maximally dispersing and play a key role in optimizing information spreading in various contexts. However, building MERWs comes at the cost…

cond-mat.stat-mech2022★ 15 cited

Graph-combinatorial approach for large deviations of Markov chains

Giorgio Carugno, Pierpaolo Vivo, Francesco Coghi

We consider discrete-time Markov chains and study large deviations of the pair empirical occupation measure, which is useful to compute fluctuations of pure-additive and jump-type…