Toward a Formal Model for Group Polarization in Social Networks - Archive ouverte HAL
Chapitre D'ouvrage Année : 2019

Toward a Formal Model for Group Polarization in Social Networks

Résumé

In this paper we develop a preliminary model for social networks , and a measure of the level of polarization in these social networks, based on Esteban and Ray's classic measure of polarization for economic situations. Our model includes information about each agent's quantitative strength of belief in a proposition of interest and a representation of the strength of each agent's influence on every other agent. We consider how the model changes over time as agents interact and communicate, and include several different options for belief update, including rational belief update and update taking into account irrational responses such as confirmation bias and the backfire effect. Under various scenarios, we consider the evolution of polarization over time, and the implications of these results for real world social networks.
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Dates et versions

hal-02410747 , version 1 (13-12-2019)

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Citer

Mário S. Alvim, Sophia Knight, Frank D. Valencia. Toward a Formal Model for Group Polarization in Social Networks. Mário S. Alvim; Konstantinos Chatzikokolakis; Carlos Olarte; Frank Valencia. The Art of Modelling Computational Systems: A Journey from Logic and Concurrency to Security and Privacy - Essays Dedicated to Catuscia Palamidessi on the Occasion of Her 60th Birthday, 11760, Springer, pp.419-441, 2019, Lecture Notes in Computer Science, 978-3-030-31174-2. ⟨10.1007/978-3-030-31175-9_24⟩. ⟨hal-02410747⟩
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