Group Opinion Evolution Model and Analysis Based on Heterogeneous Individuals

2020 IEEE 6th International Conference on Computer and Communications (ICCC) Pub Date : 2020-12-11 DOI:10.1109/ICCC51575.2020.9345007

Shan Liu, Yue Tian, Jianping Chai

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引用次数: 1

Abstract

The occurrence of emergencies and hot events often becomes the focus of attention in a short period of time, which brings massive Internet public opinions. How to correctly understand the mechanism of public opinion evolution is of great significance for ensuring objective public opinion orientation. In this paper, we build an opinion evolution model of heterogeneous individuals, combined with the interaction process of user opinions in the real network. Through simulation experiments, we discuss the impact of various parameters and different cases. The results show that compared with the same trust threshold, it is more difficult for the whole group to reach consensus when the trust threshold is different; the acceptance of opinion can have a significant effect on the number of opinion clusters and the convergence time; heterogeneity in individuals will promote better aggregation of group opinions. This model can explain more conscious opinion evolution in real life and has a significance that effectively guides public opinion.

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基于异质个体的群体意见演化模型及分析

突发事件和热点事件的发生往往在短时间内成为人们关注的焦点，从而带来海量的网络舆论。如何正确认识舆论演变的机制，对于保证客观的舆论导向具有重要意义。本文结合真实网络中用户意见的交互过程，构建了异构个体意见演化模型。通过仿真实验，讨论了各种参数和不同情况下的影响。结果表明:与相同的信任阈值相比，当信任阈值不同时，整个群体更难以达成共识;意见的接受程度对意见聚类的数量和收敛时间有显著影响;个体的异质性将促进群体意见的更好聚集。该模型可以解释现实生活中更有意识的舆论演变，对有效引导舆论具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE 6th International Conference on Computer and Communications (ICCC)

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