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Opinion formation in voting processes under bounded confidence. / Pilyugin, Sergei Yu; Campi, M. C.

в: Networks and Heterogeneous Media, Том 14, № 3, 09.2019, стр. 617-632.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Pilyugin, SY & Campi, MC 2019, 'Opinion formation in voting processes under bounded confidence', Networks and Heterogeneous Media, Том. 14, № 3, стр. 617-632. https://doi.org/10.3934/nhm.2019024

APA

Pilyugin, S. Y., & Campi, M. C. (2019). Opinion formation in voting processes under bounded confidence. Networks and Heterogeneous Media, 14(3), 617-632. https://doi.org/10.3934/nhm.2019024

Vancouver

Pilyugin SY, Campi MC. Opinion formation in voting processes under bounded confidence. Networks and Heterogeneous Media. 2019 Сент.;14(3):617-632. https://doi.org/10.3934/nhm.2019024

Author

Pilyugin, Sergei Yu ; Campi, M. C. / Opinion formation in voting processes under bounded confidence. в: Networks and Heterogeneous Media. 2019 ; Том 14, № 3. стр. 617-632.

BibTeX

@article{e037f58d84ac4d09a20587b1942de298,
title = "Opinion formation in voting processes under bounded confidence",
abstract = "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.",
keywords = "Bounded confidence, Dynamical systems, Equilibrium points, Opinion dynamics, Voting processes, dynamical systems, bounded confidence, voting processes, CONSENSUS, MODEL, equilibrium points, HEGSELMANN-KRAUSE DYNAMICS",
author = "Pilyugin, {Sergei Yu} and Campi, {M. C.}",
year = "2019",
month = sep,
doi = "10.3934/nhm.2019024",
language = "English",
volume = "14",
pages = "617--632",
journal = "Networks and Heterogeneous Media",
issn = "1556-1801",
publisher = "American Institute of Mathematical Sciences",
number = "3",

}

RIS

TY - JOUR

T1 - Opinion formation in voting processes under bounded confidence

AU - Pilyugin, Sergei Yu

AU - Campi, M. C.

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

KW - Bounded confidence

KW - Dynamical systems

KW - Equilibrium points

KW - Opinion dynamics

KW - Voting processes

KW - dynamical systems

KW - bounded confidence

KW - voting processes

KW - CONSENSUS

KW - MODEL

KW - equilibrium points

KW - HEGSELMANN-KRAUSE DYNAMICS

UR - http://www.scopus.com/inward/record.url?scp=85068610610&partnerID=8YFLogxK

U2 - 10.3934/nhm.2019024

DO - 10.3934/nhm.2019024

M3 - Article

AN - SCOPUS:85068610610

VL - 14

SP - 617

EP - 632

JO - Networks and Heterogeneous Media

JF - Networks and Heterogeneous Media

SN - 1556-1801

IS - 3

ER -

ID: 49878289