Toward a Formal Model for Group Polarization in Social Networks

Mário S. Alvim, Sophia Knight, Frank Valencia

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6 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorialSpringer Verlag
Páginas419-441
Número de páginas23
DOI
EstadoPublicada - 2019

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11760 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

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