# Applying the DEMATEL - ANP Fuzzy Comprehensive Model to Evaluate Public Opinion Events
## 4 Empirical Analysis  
### Case Data Collection and Communication Power Evaluation  
This study selected the public opinion events that occurred in 2022, whose topics covered education, entertainment, public health, and business. With the help of Python crawler software, this paper collected the dissemination data of four major public opinion events, namely a math textbook with inappropriate illustrations, the CNKI monopoly, shifts in the COVID-19 policy, and the crash of flight MU5735, within ten days from the date of occurrence. In March, flight MU5735 of the CEA Holding company crashed causing the deaths of the crew and all the passengers. In May, the Chinese PEP version math textbook was exposed for its inappropriate character illustrations with protruding genitals, and subsequently, more picture books affecting children's physical and mental health were exposed, which created an uproar on the Internet. In December, China's largest academic website, CNKI, was investigated by the relevant government departments for a suspected monopoly, and China ended its dynamic zero-COVID-19 case policy.  
The data were collected from four major communication platforms, namely Sina Weibo, Netease News, Tencent News, and Sohu News. Due to the space limitations, this paper only introduces the analysis process of the incident regarding the math textbook with inappropriate illustrations in detail, whose statistical processing of the data were captured using Python tracking, and the specific data statistical results are shown in Table 6.  
Online questionnaires were distributed to the teachers and students of two universities via WeChat, in which they were asked to evaluate the communication power of the events based on their communication data. A total of 198 valid questionnaires were finally obtained, after which the statistical analysis of the questionnaire was conducted, and the value was taken as the weight of the Tth evaluation result under the 5 th item, \(P_{ST}=n_{ST}/N\) (Formula (6)). The specific data results are presented in Table 7. The affiliation degree of the quantitative ranking of the network public opinion indicators according to their probability distribution was determined, based on which a fuzzy subset of the affiliation degree was constructed.  
\begin{table}
\begin{tabular}{c c c c c c} \hline
**Control Layer** & **Network Layer** & **Weibo** & **Netease** & **Tecent** & **Souhu** \\ \hline Degree of heat & Number of issuances (piece) & 33,678 & 1456 & 2877 & 1782 \\  & Duration of concern (day) & 10 & 7 & 9 & 6 \\  & Number of clicks (million) & 67.31 & 1.93 & 2.89 & 1.72 \\ Degree of quantity & Number of shares (thousand) & 310.4 & 10.08 & 8.53 & 12.23 \\  & Number of comments (thousand) & 16.06 & 2.7 & 1.83 & 6.87 \\ Degree of strength & Number of opinion leaders (person) & 23 & 13 & 9 & 11 \\  & Network area distribution (province) & 24 & 26 & 23 & 27 \\  & Negative opinion holding rate & 0.91 & 0.82 & 0.93 & 0.85 \\ Degree of focus & Neutral opinion holding rate & 0.07 & 0.09 & 0.07 & 0.08 \\  & Positive opinion holding rate & 0.02 & 0.09 & 0 & 0.07 \\  & Click growth rate & 0.63 & 0.34 & 0.28 & 0.37 \\ Degree of variation & Share growth rate & 0.54 & 0.29 & 0.33 & 0.31 \\  & Comment growth rate & 0.59 & 0.41 & 0.29 & 0.34 \\ \hline \end{tabular}
\end{table}
Table 6: Dissemination data of the math textbook with inappropriate illustrations.