Table of Contents Author Guidelines Submit a Manuscript
Complexity
Volume 2017, Article ID 1820257, 12 pages
https://doi.org/10.1155/2017/1820257
Research Article

Opinion Dynamics of Social-Similarity-Based Hegselmann–Krause Model

Xi Chen,1,2 Xiao Zhang,1,2 Yong Xie,1,2 and Wei Li1,2

1School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
2Key Laboratory of Ministry of Education for Image Processing and Intelligent Control of China, Wuhan 430074, China

Correspondence should be addressed to Wei Li; nc.ude.tsuh.liam@8280iewil

Received 27 April 2017; Revised 26 September 2017; Accepted 26 October 2017; Published 5 December 2017

Academic Editor: Sergio Gómez

Copyright © 2017 Xi Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The existing opinion dynamics models mainly concentrate on the impact of opinions on other opinions and ignore the effect of the social similarity between individuals. Social similarity between an individual and their neighbors will also affect their opinions in real life. Therefore, an opinion evolution model considering social similarity (social-similarity-based HK model, SSHK model for short) is introduced in this paper. Social similarity is calculated using individual properties and is used to measure the social relationship between individuals. By considering the joint effect of confidence bounds and social similarity in this model, the role of neighbors’ selection is changed significantly in the process of the evolution of opinions. Numerical results demonstrate that the new model can not only obtain the salient features of the opinion result, namely, fragmentation, polarization, and consensus, but also achieve consensus more easily under the appropriate similarity threshold. In addition, the improved model with heterogeneous and homogeneous confidence bounds and similarity thresholds are also discussed. We found that the improved heterogeneous SSHK model could acquire opinion consensus results more easily than the homogeneous SSHK model and the classical models when the confidence bound was related to the similarity threshold. This finding provides a new way of thinking and a theoretical basis for the guidance of public opinion in real life.