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Modeling and simulation analysis of public opinion polarization in a dynamic network environment

机译:动态网络环境中舆论极化的建模与仿真分析

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摘要

At present, there are many group incidents on the Internet, which has caused a high level of public opinion. Hot issues on the Internet can often trigger intense discussions among netizens and finally evolve toward bipolarization or multipolarization. This article focuses on the phenomenon of public opinion polarization under the dynamic network. First, the single-dimensional evaluation system for the JA model was expanded to multidimensional and analyzes the main factors that cause the polarization of public opinion of network groups from multiple dimensions of hot events. Second, the strength of the relationship between individuals and its dynamic changes were taken into account in the model. The strength of the relationship between individuals and its changes will affect the interaction of opinions, and thus affect the degree and speed of group polarization. Third, combining the changing process of the strength of relationship, the dynamic connection mechanism of network nodes was set to make the network structure more consistent with the social network in real life. Finally, we verify the reliability and scientificity of the model by combining practical cases.
机译:目前,互联网上有许多团体事件,这导致了高水平的舆论。互联网上的热点可能会触发网民之间的强烈讨论,最终向双极化或多极化发展。本文侧重于动态网络下的舆论极化现象。首先,将JA模型的单维评估系统扩展到多维数据,分析了导致网络组舆论极化的主要因素从热门事件的多个维度。其次,在模型中考虑了个体之间关系的强度及其动态变化。个人与其变化之间关系的强度将影响意见的相互作用,从而影响组极化的程度和速度。第三,结合改变关系的改变过程,网络节点的动态连接机制被设置为使网络结构与现实生活中的社交网络更加一致。最后,我们通过结合实际情况来验证模型的可靠性和科学性。

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