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arXiv 2303.02550physics.soc-phstat.AP
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复杂网络上的观点动力学

Opinion Dynamics on Complex Networks

Jiarui Dong, Yi-Cheng Zhang, Yixiu Kong

摘要:

社交媒体已经成为人们重要的信息来源。由于代理人通过社交媒体平台彼此互动,他们创建了许多复杂的社交网络。在这些网络中,信息在代理人之间传播,他们的观点可能会受到邻居的影响而改变。本文探讨了社交网络上的观点动力学,这是由复杂的网络结构,确认偏见,并讨论了具体问题的影响。我们提出了一个新的模型,基于以前的模型来模拟公众舆论如何从共识演变到激进和两极分化。我们还分析了代理如何改变他们的邻居的影响下,他们的立场。我们的模型揭示了意见群体的出现,并显示了不同的因素如何影响观点动力学。本文有助于理解社交网络上的观点动力学及其在金融、营销、政治和社交媒体中的可能应用。

英文摘要:

Social media has emerged as a significant source of information for people. As agents interact with each other through social media platforms, they create numerous complex social networks. Within these networks, information spread among agents and their opinions may be altered by their neighbors' influence. This paper explores opinion dynamics on social networks, which are influenced by complex network structure, confirmation bias, and specific issues discussed. We propose a novel model based on previous models to simulate how public opinion evolves from consensus to radicalization and to polarization. We also analyze how agents change their stance under their neighbors' impact. Our model reveals the emergence of opinion groups and shows how different factors affect opinion dynamics. This paper contributes to the understanding of opinion dynamics on social networks and their possible applications in finance, marketing, politics, and social media.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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