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Mar 4, 2024 · ABSTRACT. The foundation of my doctoral thesis is the estimation of agent- based models (ABMs) that simulate opinion dynamics using a.
Mar 4, 2024 · The foundation of my doctoral thesis is the estimation of agent-based models (ABMs) that simulate opinion dynamics using a likelihood-based ...
Jun 2, 2020 · Abstract:Opinion dynamics - the research field dealing with how people's opinions form and evolve in a social context - traditionally uses ...
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In the present work we develop an opinion dynamics model derived from a real life experiment. In our experimental study, participants reported their opinions ...
In this section, we first formulate our model of opinion dynamics, starting from the data it is designed for, and then introduce efficient methods for model ...
Jul 7, 2022 · In this paper, inspired by recently developed physics-informed neural networks [37], we develop a deep learning framework that integrates both ...
This repository contains code and data related to the paper "Learning Opinion Dynamics From Social Traces" by Corrado Monti, Gianmarco De Francisci Morales ...
We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning ...
Oct 6, 2022 · In this paper, we have designed an experiment to verify the Martins model and contribute to the experimental design in opinion dynamic with our ...
In a nutshell, the paper proposes a new model for opinion-dynamics in social networks (where users can publish messages/posts/tweets). The authors discuss how ...