Simulation model of group polarization in emergencies

In this study, the risk structure framework of online public opinion group polarization of public health emergencies in the ternary space is combined, as well as the causes and constraints of group polarization distributed in the same space. The number of online users with extreme opinions can indicate the risk of group polarization in accordance with the idea of phase change space. Moreover, a simulation model of group polarization of online public opinion of public health emergencies is developed. The system dynamics simulation of the model is carried out by using the software Anylogic and predicts the evolution trend of the model from the perspective of simulation. The research results indicate that the model built in this study can effectively simulate the formation and dissemination of extreme opinions in the online public opinion of public health emergencies, and the vital factors or constraints on the group polarization include emotional guidance, heat reduction, as well as and l..., , , # Simulation model of group polarization in emergencies [https://doi.org/10.5061/dryad.mpg4f4r7j](https://doi.org/10.5061/dryad.mpg4f4r7j) This dataset is a simulation model from the manuscript. The implemented group polarization simulation study used Anylogic simulation software with a file format of \".app\". ## Description of the data and file structure A simulation model of group polarization of online public opinion of public health emergencies is developed. The system dynamics simulation of the model is carried out by using the software Anylogic and predicts the evolution trend of the model from the perspective of simulation. The research results indicate that the model built in this study can effectively simulate the formation and dissemination of extreme opinions in the online public opinion of public health emergencies, and the vital factors or constraints on the group polarization include emotional guidance, heat reduction, as well as and life pressure. ## Sharing/Access in...本研究结合了三元空间下突发公共卫生事件网络舆情群体极化的风险结构框架，以及分布于该空间内的群体极化成因与制约因素。依据相变空间理论，持有极端观点的在线用户规模可用于表征群体极化风险。此外，本研究构建了突发公共卫生事件网络舆情群体极化仿真模型，采用Anylogic软件对该模型开展系统动力学仿真，并从仿真视角预测模型的演化趋势。研究结果表明，本研究所构建的模型可有效模拟突发公共卫生事件网络舆情中极端观点的形成与传播，影响群体极化的关键因素或制约条件包括情感引导、热度调控以及生活压力。 # 突发公共事件群体极化仿真模型 [https://doi.org/10.5061/dryad.mpg4f4r7j](https://doi.org/10.5061/dryad.mpg4f4r7j) 本数据集源自该论文中的仿真模型，所实现的群体极化仿真研究采用Anylogic仿真软件，文件格式为".app"。 ## 数据与文件结构说明 本研究构建了突发公共卫生事件网络舆情群体极化仿真模型，采用Anylogic软件对该模型开展系统动力学仿真，并从仿真视角预测模型的演化趋势。研究结果表明，本研究所构建的模型可有效模拟突发公共卫生事件网络舆情中极端观点的形成与传播，影响群体极化的关键因素或制约条件包括情感引导、热度调控以及生活压力。 ## 共享/获取方式...