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Network Effects in a Bounded Confidence Model

Studies in History and Philosophy of Science, 2022
The bounded confidence model has become a popular tool for studying communities of epistemically interacting agents. The model makes the idealizing assumption that all agents always have access to all other agents' belief states. We draw on resources from network epistemology to do away with this assumption.
Igor Douven, Rainer Hegselmann
exaly   +5 more sources

Signed Bounded Confidence Models for Opinion Dynamics [PDF]

Automatica, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Claudio Altafini, Francesca Ceragioli
exaly   +4 more sources

A Bounded Confidence Model That Preserves the Signs of the Opinions [PDF]

2016 European Control Conference (ECC), 2016
The aim of this paper is to suggest a modification to the usual bounded confidence model of opinion dynamics, so that “changes of opinion” (intended as changes of the sign of the initial state) of an agent are never induced by the dynamics. In order to do so, a bipartite consensus model is used, endowing it with a confidence range. The resulting signed
Gustav Lindmark, Clas Veibäck, Claudio Altafini   +2 more
exaly   +7 more sources

Mis- and Disinformation in a Bounded Confidence Model

Artificial Intelligence, 2021
Abstract The bounded confidence model has been widely used to formally study groups of agents who are sharing opinions with those in their epistemic neighborhood. We revisit the model with an eye toward studying mis- and disinformation campaigns, which have been much in the news of late.
Igor Douven, Rainer Hegselmann
exaly   +5 more sources

Bounded-Confidence Models of Opinion Dynamics With Adaptive Confidence Bounds

SIAM Journal on Applied Dynamical Systems
Abstract. People’s opinions change with time as they interact with each other. In a bounded-confidence model (BCM) of opinion dynamics, individuals (which are represented by the nodes of a network) have continuous-valued opinions and are influenced by neighboring nodes whose opinions are sufficiently similar to theirs (i.e., are ...
Mason Porter
exaly   +4 more sources

Dynamics of Linguistic Opinion Formation in Bounded Confidence Model [PDF]

Information Fusion, 2016
Abstract Opinion dynamics is a fusion process of individual opinions based on the established fusion rules. The existing opinion dynamics models assume that agents express and receive their opinions in a numerical way. In this paper, we focus on the opinion formation in linguistic environment (i.e., linguistic opinion formation), and propose a ...
Yucheng Dong, Haiming Liang, Cong-Cong Li   +2 more
exaly   +2 more sources

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Erratum: A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs

SIAM Journal on Applied Dynamical Systems, 2022
This is a short erratum for the paper A. Hickok et al. [ SIAM J. Appl. Dyn. Syst., 21 (2022) pp. 1--32].
Abigail Hickok, Yacoub H. Kureh, Heather Z. Brooks, Michelle Feng, Mason A. Porter   +4 more
openaire   +3 more sources

Rejoinder to Discussions on: Model Confidence Bounds for Variable Selection

Biometrics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Yang, Luo, Yuetian, Ferrari, Davide, Hu, Xiaonan, Qin, Yichen   +4 more
openaire   +2 more sources

Emergence of Polarization in a Sigmoidal Bounded-Confidence Model of Opinion Dynamics

SIAM Journal on Applied Dynamical Systems
Abstract. We study a nonlinear bounded-confidence model (BCM) of continuous-time opinion dynamics on networks with both persuadable individuals and zealots. The model is parameterized by a nonnegative scalar [Formula: see text], which controls the steepness of a smooth influence function.
Mason Porter, Heather Zinn Brooks, Philip S Chodrow   +2 more
exaly   +6 more sources