Francesco Tudisco

Keywords · Network science

random walks

3 publications, 2020–2022

20202022

2022

Hitting times for second-order random walks

Dario Fasino, Arianna Tonetto, Francesco Tudisco

European Journal of Applied Mathematics, vol. 34, pp. 642–666, 2022

A second-order random walk on a graph or network is a random walk where transition probabilities depend not only on the present node but also on the previous one. A notable example is the non-backtracking random walk, where the walker is not allowed to revisit a node in one step. Second-order random walks can model …

2021

Nonlocal PageRank

Stefano Cipolla, Fabio Durastante, Francesco Tudisco

ESAIM: Mathematical Modelling and Numerical Analysis, vol. 55, pp. 77–97, 2021

In this work we introduce and study a nonlocal version of the PageRank. In our approach, the random walker explores the graph using longer excursions than just moving between neighboring nodes. As a result, the corresponding ranking of the nodes, which takes into account a long-range interaction between them, does not …

2020

Ergodicity coefficients for higher-order stochastic processes

Dario Fasino, Francesco Tudisco

SIAM Journal on Mathematics of Data Science, vol. 2, pp. 740–769, 2020

The use of higher-order stochastic processes such as nonlinear Markov chains or vertex-reinforced random walks is significantly growing in recent years as they are much better at modeling high dimensional data and nonlinear dynamics in numerous application settings. In many cases of practical interest, these processes …