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[目的/意义]社会中的每个个体及其交互构成了庞大的社会网络,在沟通与交互过程中,不同的个体有其独特的认知与意见表达,由此形成了多样化的群体意见。群体意见竞争演化的研究,对于网络舆情,尤其是重大突发事件中舆情的疏导具有重要理论和实践意义,而当前对于多样化意见的竞争演化研究仍有所不足。[方法/过程]以经典SIR模型为基础,对模型进行改进与优化,加入多意见群体的竞争机制,并结合意见动力学等理论,建立群体意见竞争演化模型SI_nR,探究易感人群S、多意见传播群体I_i、免疫群体R在社会网络中的竞争演化过程。[结果/结论]以微博平台为研究载体,进一步结合网络爬虫技术和MATLAB程序对微博平台信息传播演化实例,进行仿真分析,揭示不同情景下系统的演化特征,分析参数灵敏度,为网络舆情的积极引导与有效监督提供理论参考。
[Purpose / Significance] Each individual in society and its interaction constitute a huge social network. During the process of communication and interaction, different individuals have their own unique expressions of opinions and opinions. As a result, diverse group opinions are formed . Research on the evolution of group opinion competition has important theoretical and practical significance for the network public opinion, especially the public opinion in major emergencies. However, the current research on the competitive evolution of diverse opinions is still inadequate. [Method / Process] Based on the classic SIR model, the model is improved and optimized, and the competition mechanism of multiple opinion groups is added. Combined with the theory of opinion dynamics, SI_nR is established for the evolution of group opinion competition. Opinion groups I_i, immune groups R in the evolution of social networks in the process of evolution. [Result / Conclusion] Based on the Weibo platform as the research carrier, this paper further combines the example of crawler technology and MATLAB program to simulate the evolution of Weibo platform information, reveals the evolution characteristics of the system in different scenarios, analyzes the sensitivity of parameters, Provide a theoretical reference for the active guidance and effective supervision.