Opinion dynamics on directed complex networks

Fuente: arXiv
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Main Authors: Fraiman, Nicolas, Lin, Tzu-Chi, Olvera-Cravioto, Mariana
Format: Preprint
Published: 2022
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author Fraiman, Nicolas
Lin, Tzu-Chi
Olvera-Cravioto, Mariana
author_facet Fraiman, Nicolas
Lin, Tzu-Chi
Olvera-Cravioto, Mariana
contents We propose and analyze a mathematical model for the evolution of opinions on directed complex networks. Our model generalizes the popular DeGroot and Friedkin-Johnsen models by allowing vertices to have attributes that may influence the opinion dynamics. We start by establishing sufficient conditions for the existence of a stationary opinion distribution on any fixed graph, and then provide an increasingly detailed characterization of its behavior by considering a sequence of directed random graphs having a local weak limit. Our most explicit results are obtained for graph sequences whose local weak limit is a marked Galton-Watson tree, in which case our model can be used to explain a variety of phenomena, e.g., conditions under which consensus can be achieved, mechanisms in which opinions can become polarized, and the effect of disruptive stubborn agents on the formation of opinions.
format Preprint
id arxiv_https___arxiv_org_abs_2209_00969
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Opinion dynamics on directed complex networks
Fraiman, Nicolas
Lin, Tzu-Chi
Olvera-Cravioto, Mariana
Probability
Social and Information Networks
Physics and Society
60G10, 05C80, 60J05, 60J85
We propose and analyze a mathematical model for the evolution of opinions on directed complex networks. Our model generalizes the popular DeGroot and Friedkin-Johnsen models by allowing vertices to have attributes that may influence the opinion dynamics. We start by establishing sufficient conditions for the existence of a stationary opinion distribution on any fixed graph, and then provide an increasingly detailed characterization of its behavior by considering a sequence of directed random graphs having a local weak limit. Our most explicit results are obtained for graph sequences whose local weak limit is a marked Galton-Watson tree, in which case our model can be used to explain a variety of phenomena, e.g., conditions under which consensus can be achieved, mechanisms in which opinions can become polarized, and the effect of disruptive stubborn agents on the formation of opinions.
title Opinion dynamics on directed complex networks
topic Probability
Social and Information Networks
Physics and Society
60G10, 05C80, 60J05, 60J85
url https://arxiv.org/abs/2209.00969