Wang Jiakun, Mu Linru, Chun Liu, Guo Xiaotong
College of Economics and Management, Shandong University of Science and Technology, Qingdao, 266500, China.
School of Economics and Management, China University of Petroleum, Qingdao, 266580, China.
Sci Rep. 2024 Nov 14;14(1):27986. doi: 10.1038/s41598-024-79543-4.
In the new media environment, the constantly emerging social platforms further expand the channels for the propagation of public opinion. Under the framework of complex network theory and faced the needs of management practice, modeling the spreading dynamics of public opinion in temporal group networks is of great significance for understanding its spreading law and improving the governance system of cyberspace and the development of network science. Through analyzing the changes of group networks topology and the spreading rules of public opinion, the spreading model of public opinion in temporal group networks was proposed by coupling the two dynamic processes, and the spreading thresholds of public opinion in static and temporal group networks were derived respectively. Then, the spreading characteristics of public opinion under different network topology, as well as the influence of important parameters on public opinion spreading process were discussed with the help of simulation experiments. The research results indicated that the propagation of public opinion in static and temporal group networks exhibits both similar trends and differentiated characteristics; compared with Spreader, the propagation of public opinion in temporal group networks is more sensitive to Ignorant's behavior; both groups' and netizens' active probability have significant influence on public opinion propagation, but netizens' affects more. Based on the relevant results, this paper proposed a series of countermeasures such as, grading social platforms, strengthening relationship management between them and introducing time management systems, so as to promote the formation of a good network ecosystem and the modernization of the national governance system.
在新媒体环境下，不断涌现的社交平台进一步拓展了舆论传播渠道。在复杂网络理论框架下，面对管理实践需求，对时态群体网络中舆论传播动力学进行建模，对于理解其传播规律、完善网络空间治理体系以及推动网络科学发展具有重要意义。通过分析群体网络拓扑结构的变化以及舆论传播规则，耦合两个动态过程，提出了时态群体网络中舆论传播模型，并分别推导了静态和时态群体网络中舆论的传播阈值。然后，借助仿真实验探讨了不同网络拓扑下舆论的传播特性以及重要参数对舆论传播过程的影响。研究结果表明，静态和时态群体网络中舆论传播既呈现相似趋势又具有差异化特征；与时态群体网络中的传播者相比，舆论传播对无知者行为更为敏感；群体和网民的活跃概率对舆论传播均有显著影响，但网民的影响更大。基于相关结果，本文提出了一系列对策，如对社交平台进行分级、加强它们之间的关系管理以及引入时间管理系统等，以促进良好网络生态系统的形成和国家治理体系的现代化。
