The Dual Interaction Structure of " Information-Population" in the Diffusion of Emergency Information: An Empirical Study from China

This database aims to document and share empirical research data on the dual interaction structure of "information-population" in the dissemination of emergency information in China. The study employs an information-population dual structure model to analyze the evolution of information and subject scales within the public opinion ecology during emergencies. The data contained within the database supports the model's fitting and predictive methods and offers general rules through simulation. The empirical research segment involves data from six categories of emergencies downloaded from the GsData platform, predicting the trends of population and information, with a significant enhancement in the model's fit after fine-tuning matrix processing.  Dataset Contents:  - Raw Data: Unprocessed data related to emergencies, including social media posts from various platforms, news reports, etc. - Hourly Data: Time series analysis of the original data, documenting the hourly volume of information and the number of participants. - Simulation Parameters: Parameters used to simulate the propagation patterns of emergency information dissemination.

本数据库旨在记录并共享中国应急信息传播场景下“信息-人群”二元互动结构的实证研究数据。本研究采用信息-人群二元结构模型，剖析突发事件期间舆论生态中信息规模与参与主体规模的演化态势。本数据库收录的数据可支撑该模型的拟合与预测方法，并通过仿真推演得出应急信息传播的普适性规律。实证研究环节采用从GsData平台下载的六类突发事件相关数据，用于预测人群与信息的传播趋势；经矩阵微调处理后，模型的拟合效果得到显著提升。
数据集内容：
- 原始数据：未经过预处理的突发事件关联数据，涵盖多平台社交媒体帖文、新闻报道等内容。
- 小时级数据：基于原始数据的时序分析结果，记录每小时的信息产出量与参与主体数量。
- 仿真参数：用于模拟应急信息传播模式的相关参数。