Data Analysis and Knowledge Discovery

Tracking Online Public Opinion Based on System Dynamics: Case Study of “Xiangshui Explosion Accident”

Deng Jiangao, Zhang Xuan, Fu Zhu, Wei Qingming

Data Analysis and Knowledge Discovery, 2020, 4(2-3): 110-121. DOI: 10.11925/infotech.2096-3467.2019.0636

变量	MAPE值	结论
网民微博发帖量	18%	良好预测
网媒新闻发布量	27%	可行预测

Table 5 MAPE Value of Simulation Results

Other figure/table from this article

Fig.1 Formation and Development of Online Public Opinion
Fig.2 Modeling Process of System Dynamics
Fig.3 Causality of Netizen Subsystem
Fig.4 Causality of Network Media Subsystem
Fig.5 Causality of Government Subsystem
Fig.6 Causality of Overall System
Fig.7 Stock Flow of Overall System
Table 1 Variable Description
Table 2 Relevant Data of the Xiangshui Explosion Accident
Table 3 Variables and Questions in Questionnaire
Table 4 Online Public Opinion Statistics in Xiangshui Explosion Accident
Fig.8 Netizen Weibo Posts
Fig.9 Online News Releases
Fig.10 Netizen Attention
Fig.11 Internet Public Sentiment
Fig.12 Netizen Weibo Post Volume Test
Fig.13 Network News Release Volume Test
Fig.14 Impact of Changes in Processing Intensity on Public Opinion
Fig.15 Impact of Changes in Official News Transparency on Public Opinion
Fig.16 Impact of Changing Government Response Time on Spread of Public Opinion