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.

翻译：社交媒体已成为人们获取信息的重要来源。当个体通过社交媒体平台互动时，会形成大量复杂的社交网络。在这些网络中，信息在个体间传播，其观点可能受到邻居影响而发生改变。本文研究了受复杂网络结构、确认偏误及具体讨论议题影响的社交网络意见动力学。我们在既有模型基础上提出一种新模型，模拟公众意见如何从共识演变为极端化与极化现象。同时分析了邻居影响下个体立场的变化过程。该模型揭示了意见群体的形成机制，并展示了不同因素对意见动力学的影响。本文有助于理解社交网络中的意见动力学，及其在金融、市场营销、政治和社交媒体等领域的潜在应用。