22 citations · 51 across the 8 of their papers we have counts for
9 papers
Collective impact of opinion formation on agent-based epidemic dynamics
Andrea Bondesan, Riccardo Vecchio, Chiara Barbati +3
Epidemic spread and collective opinion formation are tightly coupled processes: individual beliefs about the severity of an outbreak and the value of protective measures shape beha…
Superlinear drift in consensus-based optimization with condensation phenomena
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
Consensus-based optimization (CBO) is a class of metaheuristic algorithms designed for global optimization problems. In the many-particle limit, classical CBO dynamics can be rigor…
Optimal control of a kinetic model describing social interactions on a graph
Jonathan Franceschi, Nadia Loy
In this paper we introduce the optimal control of a kinetic model describing agents who migrate on a graph and interact within its nodes exchanging a physical quantity. As a protot…
Emerging properties of the degree distribution in large non-growing networks
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
The degree distribution is a key statistical indicator in network theory, often used to understand how information spreads across connected nodes. In this paper, we focus on non-gr…
Breaking Consensus in Kinetic Opinion Formation Models on Graphons
Bertram Düring, Jonathan Franceschi, Marie-Therese Wolfram +1
In this work we propose and investigate a strategy to prevent consensus in kinetic models for opinion formation. We consider a large interacting agent system, and assume that agent…
Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy
Jonathan Franceschi, Lorenzo Pareschi, Elena Bellodi +2
The SARS-CoV-2 pandemic reminded us how vaccination can be a divisive topic on which the public conversation is permeated by misleading claims, and thoughts tend to polarize, espec…
On the optimal control of kinetic epidemic models with uncertain social features
Jonathan Franceschi, Andrea Medaglia, Mattia Zanella
It is recognized that social heterogeneities in terms of the contact distribution have a strong influence on the spread of infectious diseases. Nevertheless, few data are available…
From agent-based models to the macroscopic description of fake-news spread: the role of competence in data-driven applications
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
Fake news spreading, with the aim of manipulating individuals' perceptions of facts, is now recognized as a major problem in many democratic societies. Yet, to date, little has bee…
Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation
Jonathan Franceschi, Lorenzo Pareschi
The rise of social networks as the primary means of communication in almost every country in the world has simultaneously triggered an increase in the amount of fake news circulati…