6 papers
Probabilistic neighbors' selection competes with confirmation bias in a bounded confidence model
Chiara Giaquinta, Laura Hernández, David Chavalarias
In this work, we investigate three modified versions of the classic Hegselmann-Krause opinion dynamics model, incorporating features that are typical of many real-world systems, su…
Inferring the microscopic mechanisms of opinion dynamics using a kinetic Ising model
Ixandra Achitouv, David Chavalarias, Vincent Lahoche
Kinetic Ising models are widely used to describe binary opinion dynamics, but their microscopic validity has rarely been tested empirically. Here, we infer the transition probabili…
D-MODD: A Diffusion Model of Opinion Dynamics Derived from Online Data
Ixandra Achitouv, David Chavalarias, Raphael Fournier-S'niehotta
We present the first empirical derivation of a continuous-time stochastic model for real-world opinion dynamics. Using longitudinal social-media data to infer users opinion on a bi…
Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
Ixandra Achitouv, David Chavalarias
During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks. Using a data-driven approac…
Testing network clustering algorithms with Natural Language Processing
Ixandra Achitouv, David Chavalarias, Bruno Gaume
The advent of online social networks has led to the development of an abundant literature on the study of online social groups and their relationship to individuals' personalities…
Dynamical evolution of social network polarization and its impact on the propagation of a virus
Ixandra Achitouv, David Chavalarias
The COVID-19 pandemic that emerged in 2020 has highlighted the complex interplay between vaccine hesitancy and societal polarization. In this study, we analyse the dynamical polari…