Polarization When People Choose Their Peers

47 Pages Posted: 26 Sep 2018 Last revised: 30 Jan 2019

See all articles by Ugo Bolletta

Ugo Bolletta

Aix Marseille Université

Paolo Pin

Bocconi University - Department of Decision Sciences

Date Written: January 23, 2019

Abstract

Processes of polarization have been documented in several applications. Yet most existing theories focus on how herding behavior and convergence of opinions tend to occur in different contexts. In this paper we develop a model where agents correct their heterogeneous initial opinion by averaging the opinions of their neighbors. Our key contribution is to let the network arise endogenously. To do so, we micro–found how individuals optimally choose reference groups and we characterize a dynamic process where the network evolves along with individual opinions. Results show that there are always conditions on the strength of social influence preventing the network from being connected. This causes polarization in the long run. However, polarization can also arise during the transition to a consensus. We show how each of these cases is tied to a key network statistic, the initial diameter.

Keywords: Network Formation, Naive Learning, Opinion Polarization, Social Networks

JEL Classification: D83, D85, Z1

Suggested Citation

Bolletta, Ugo and Pin, Paolo, Polarization When People Choose Their Peers (January 23, 2019). Available at SSRN: https://ssrn.com/abstract=3245800 or http://dx.doi.org/10.2139/ssrn.3245800

Ugo Bolletta (Contact Author)

Aix Marseille Université ( email )

3, avenue Robert Schuman
58 Boulevard Charles Livon
Aix-en-Provence, 13100
France

Paolo Pin

Bocconi University - Department of Decision Sciences ( email )

Via Roentgen 1
Milan, 20136
Italy

Register to save articles to
your library

Register

Paper statistics

Downloads
38
Abstract Views
170
PlumX Metrics