# American Institute of Mathematical Sciences

September  2019, 14(3): 617-632. doi: 10.3934/nhm.2019024

## Opinion formation in voting processes under bounded confidence

 1 St. Petersburg State University, Universitetskaya nab., 7-9, St.Petersburg, 199034, Russia 2 Dipartimento di Ingegneria dell'Informazione, Università di Brescia, via Branze 38, 25123 Brescia, Italia

* Corresponding author: M. C. Campi

Received  October 2018 Revised  March 2019 Published  May 2019

Fund Project: The work of S. Y. Pilyugin was supported by the Russian Foundation for Basic Research, grant 18-01-00230, and the work of M.C. Campi was supported by the Russian Science Foundation, grant 16-19-00057, and by the HW project of the University of Brescia CLAFITE

In recent years, opinion dynamics has received an increasing attention and various models have been introduced and evaluated mainly by simulation. In this study, we introduce a model inspired by the so-called "bounded confidence" approach where voters engaged in an electoral decision with two options are influenced by individuals sharing an opinion similar to their own. This model allows one to capture salient features of the evolution of opinions and results in final clusters of voters. We provide a detailed study of the model, including a complete taxonomy of the equilibrium points and an analysis of their stability. The model highlights that the final electoral outcome depends on the level of interaction in the society, besides the initial opinion of each individual, so that a strongly interconnected society can reverse the electoral outcome as compared to a society with looser exchange.

Citation: Sergei Yu. Pilyugin, M. C. Campi. Opinion formation in voting processes under bounded confidence. Networks & Heterogeneous Media, 2019, 14 (3) : 617-632. doi: 10.3934/nhm.2019024
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##### References:
Initial distribution of opinions for the first example
Opinions' evolution for first example at steps $10$, $20$, $30$ and $34$, when the equilibrium is reached; ${\epsilon} = 0.3$, $h = 0.1$
Initial distribution of opinions for the second example
Opinions' evolution for second example at steps $5$, $10$, $20$ and $27$, when the equilibrium is reached; ${\epsilon} = 0.45$, $h = 0.1$
Opinions' evolution for second example at steps $10$, $20$, $30$ and $49$, when the equilibrium is reached; ${\epsilon} = 0.05$, $h = 0.1$
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