@Article{CiCP-5-5,
author = {},
title = {Continuous Opinion Dynamics in Complex Networks},
journal = {Communications in Computational Physics},
year = {2009},
volume = {5},
number = {5},
pages = {1045--1053},
abstract = {<p style="text-align: justify;">Many realistic social networks share some universal characteristic properties, such as the small-world effects and the heterogeneous distribution of connectivity
degree, which affect the dynamics in society system, especially the opinion dynamics
in society. To see this, we study the opinion dynamics of the Improved Deffuant Model
(IDM) in complex networks. When the two opinions differ by less than the confidence
parameter ϵ (0&lt;ϵ&lt;1), each opinion moves partly in the direction of the other with the
convergence parameter µ, which is a function of the opposite&#39;s degree k; otherwise,
the two refuse to discuss and no opinion is changed. We analyze the evolution of the
steady opinion s<sub>∗</sub> as a function of the confidence parameter ϵ, the relation between the
minority steady opinion $s_∗^{min}$ and the individual connectivity k, and find some interesting results that show the dependence of the opinion dynamics on the confidence
parameter and on the system topology. This study provides a new perspective and
tools to understand the effects of complex system topology on opinion dynamics.</p>},
issn = {1991-7120},
doi = {https://doi.org/2009-CiCP-7777},
url = {https://global-sci.com/article/81129/continuous-opinion-dynamics-in-complex-networks}
}