Network equilibrium stabilization via single-node insertion. - Giorgio Battistelli; Giulia Cencetti; Luigi Chisci; Duccio Fanelli (ECC, 2019)

Intransitiveness in Games and Random Walks. - Alberto Baldi; Giulia Cencetti; Duccio Fanelli; Franco Bagnoli (INSCI, 2019)

Random walks on hypergraphs. - Timoteo Carletti; Federico Battiston; Giulia Cencetti; Duccio Fanelli (CoRR, 2019)

Networks beyond pairwise interactions: structure and dynamics. - Federico Battiston; Giulia Cencetti; Iacopo Iacopini; Vito Latora; Maxime Lucas; Alice Patania; Jean-Gabriel Young; Giovanni Petri (CoRR, 2020)

Simplicial contagion in temporal higher-order networks. - Sandeep Chowdhary; Aanjaneya Kumar; Giulia Cencetti; Iacopo Iacopini; Federico Battiston (CoRR, 2021)

Measuring close proximity interactions in summer camps during the COVID-19 pandemic. - Elia Leoni; Giulia Cencetti; Gabriele Santin; Timofei Istomin; Davide Molteni; Gian Pietro Picco; Elisabetta Farella; Bruno Lepri; A. M. Murphy (CoRR, 2021)

Neighbourhood matching creates realistic surrogate temporal networks. - Antonio Longa; Giulia Cencetti; Sune Lehmann; Andrea Passerini; Bruno Lepri (CoRR, 2022)

An efficient procedure for mining egocentric temporal motifs. - Antonio Longa; Giulia Cencetti; Bruno Lepri; Andrea Passerini (Data Min. Knowl. Discov., 2022)

Measuring close proximity interactions in summer camps during the COVID-19 pandemic. - Elia Leoni; Giulia Cencetti; Gabriele Santin; Timofei Istomin; Davide Molteni; Gian Pietro Picco; Elisabetta Farella; Bruno Lepri; Amy L. Murphy (EPJ Data Sci., 2022)

Infection patterns in simple and complex contagion processes on networks. - Diego Andrés Contreras; Giulia Cencetti; Alain Barrat (PLoS Comput. Biol., 2024)

Patterns in Temporal Networks with Higher-Order Egocentric Structures. - Beatriz Arregui-García; Antonio Longa; Quintino Francesco Lotito; Sandro Meloni; Giulia Cencetti (Entropy, 2024)

Community Aware Temporal Network Generation. - Nicolò Alessandro Girardini; Antonio Longa; Gaia Trebucchi; Giulia Cencetti; Andrea Passerini; Bruno Lepri (CoRR, 2025)

Explaining the Explainers in Graph Neural Networks: a Comparative Study. - Antonio Longa; Steve Azzolin; Gabriele Santin; Giulia Cencetti; Pietro Lio; Bruno Lepri; Andrea Passerini (ACM Comput. Surv., 2025)

Emerging Activity Temporal Hypergraph (EATH), a model for generating realistic time-varying hypergraphs. - Marco Mancastroppa; Giulia Cencetti; Alain Barrat (CoRR, 2025)