基于Friedkin-Johnsen (FJ)模型的社交网络舆论引导机制研究

The Research of Opinion Leading Mechanisms in Social Networks Based on the Fredkin-Johnsen (FJ) Model

摘要: 随着网络与通信技术的发展，如何高效引导社交网络中的舆论风向成为了一个亟待解决的问题。现有对舆论的干预手段多为简单的宏观调控，缺乏动态分析以及对个体心理等因素的考虑。对此，本文通过运用观点动力学的方法，探索社交网络的舆论引导机制。本文首先构建了包含亲密关系层、普通社交层和媒体信息层的三层网络模型。随后以观点动力学模型中的Friedkin-Johnsen (FJ)模型为基础模型，融合基于TOPSIS的干预算法，同时引入层间联动系数，构建模拟观点传播的三层网络FJ模型。然后利用上述模型进行算例仿真，通过对仿真结果进行分析以探究社交网络中的舆论传播机制及干预策略。最后，根据结果总结舆论传播规律，提炼服务于社交网络的舆论引导策略。

Abstract: With the development of network and communication technology, how to efficiently guide public opinion in social networks has become an urgent problem. Existing interventions on public opinion are mostly simple macro-control, which lacks dynamic analysis and consideration of individual psychology and other factors. In this paper, we explore the public opinion guidance mechanism of social networks by applying opinion dynamics. In this paper, we first constructed a three-layer network model including an intimate relationship layer, an ordinary social layer, and a media information layer. Subsequently, the Friedkin-Johnsen (FJ) model in the opinion dynamics model is used as the base model, and the TOPSIS-based intervention algorithm is integrated. At the same time, the inter-layer linkage coefficient is introduced to construct the FJ model of the three-layer network that simulates viewpoint propagation. Then, the above model is used to carry out an example simulation, and the simulation results are analyzed to explore the mechanism of opinion dissemination and intervention strategies in social networks. Finally, based on the results, we summarize the laws of opinion dissemination and refine the opinion guidance strategy for social networks.