activity
20202026
most citedInformation disorders on Italian Facebook during COVID-19 infodemic

56 citations · 115 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SI2026★ 5 cited

Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing

Alessandro Celestini, Francesca Colaiori, Stefano Guarino +2

Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and s…

cs.SI2025

Random Hyperbolic Graphs with Arbitrary Mesoscale Structures

Stefano Guarino, Davide Torre, Enrico Mastrostefano

Real-world networks exhibit universal structural properties such as sparsity, small-worldness, heterogeneous degree distributions, high clustering, and community structures. Geomet…

cs.SI2023

Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models

Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello +3

Centrality measures are fundamental tools of network analysis as they highlight the key actors within the network. This study focuses on a newly proposed centrality measure, Expect…

physics.soc-ph2022★ 6 cited

The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks

Massimo Bernaschi, Alessandro Celestini, Stefano Guarino +2

Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some…

cs.SI2021★ 8 cited

Onion under Microscope: An in-depth analysis of the Tor network

Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia +3

Tor is an anonymity network that allows offering and accessing various kinds of resources, known as hidden services, while guaranteeing sender and receiver anonymity. The Tor web i…

cs.SI2020★ 1 cited

Inferring urban social networks from publicly available data

Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi +4

The emergence of social networks and the definition of suitable generative models for synthetic yet realistic social graphs are widely studied problems in the literature. By not be…

cs.SI2020★ 56 cited

Information disorders on Italian Facebook during COVID-19 infodemic

Alessandro Celestini, Marco Di Giovanni, Stefano Guarino +1

In this work we carry out an exploratory analysis of online conversations on the Italian Facebook during the recent COVID-19 pandemic. We analyze the circulation of controversial t…

cs.SI2020★ 39 cited

Characterizing networks of propaganda on Twitter: a case study

Stefano Guarino, Noemi Trino, Alessandro Celestini +2

The daily exposure of social media users to propaganda and disinformation campaigns has reinvigorated the need to investigate the local and global patterns of diffusion of differen…