Detectability thresholds in networks with dynamic link and community structure. - Paolo Barucca; Fabrizio Lillo; Piero Mazzarisi; Daniele Tantari (CoRR, 2017)

Trip Centrality: walking on a temporal multiplex with non-instantaneous link travel time. - Silvia Zaoli; Piero Mazzarisi; Fabrizio Lillo (CoRR, 2019)

Betweenness centrality for temporal multiplexes. - Silvia Zaoli; Piero Mazzarisi; Fabrizio Lillo (CoRR, 2020)

A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market. - Piero Mazzarisi; Paolo Barucca; Fabrizio Lillo; Daniele Tantari (Eur. J. Oper. Res., 2020)

Efficiency of the Moscow Stock Exchange before 2022. - Andrey Shternshis; Piero Mazzarisi; Stefano Marmi (Entropy, 2022)

A machine learning approach to support decision in insider trading detection. - Piero Mazzarisi; Adele Ravagnani; Paola Deriu; Fabrizio Lillo; Francesca Medda; Antonio Russo (EPJ Data Sci., 2024)

Bayesian autoregressive online change-point detection with time-varying parameters. - Ioanna-Yvonni Tsaknaki; Fabrizio Lillo; Piero Mazzarisi (Commun. Nonlinear Sci. Numer. Simul., 2025)