基于线上-线下超网络模型的舆论演化仿真分析

目前在舆论演化模型及其动力学规则的研究中大多数都没有考虑线下网络，导致其无法真实反映舆论传播过程。为解决上述问题，首先利用线上-线下社交网络映射方法得到线上-线下社交网络拓扑结构；然后构建线上-线下超网络模型，集成舆论事件态势信息形成舆论演化仿真环境；最后，利用传播学原理制定线上-线下超网络模型动力学交互规则，进行舆论动力学仿真。将提出的模型用于事件实例分析，仿真结果与舆论事件实际发展情况之间的余弦相似度达到0.99，平均差值为1%。实验结果表明，所提出的模型取得了比其他方法更好的仿真效果，验证了线上-线下超网络模型和舆论动力学交互规则的正确性和有效性。

Analysis of public opinion evolution based on online-offline supernetwork model

Most of the current research on opinion evolution models and their dynamic rules in the field of public opinion has overlooked offline networks, leading to an inadequate reflection of the actual process of opinion dissemination. To solve the above problem, this paper employed an online-offline social network mapping method to obtain the topology structure of the online-offline social networks. Then, it constructed an online-offline supernetwork model, integrating the information of the opinion event situation to form an opinion evolution simulation environment. Finally, it formulated the dynamic interaction rules for the online-offline supernetwork model using principles of communication theory, enabled the simulation of opinion dynamics. This paper applied the proposed model to analyze specific event instances, and the cosine similarity between the simulation results and the actual development of opinion events reached 0.99, with an average difference of 1%. The experimental results show that the presented model achieves better simulation performance compared to other methods, validating the correctness and effectiveness of the online-offline supernetwork model and the opinion dynamical interaction rules.