Research Article
Research on the Best Time to Intervene into Network Public Opinion for Managers -Based on "Nankai Buick Affair"-
@INPROCEEDINGS{10.1007/978-3-642-02469-6_108, author={Meiyang Chen and Yijun Liu}, title={Research on the Best Time to Intervene into Network Public Opinion for Managers -Based on "Nankai Buick Affair"-}, proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2}, proceedings_a={COMPLEX PART 2}, year={2012}, month={5}, keywords={Network Public Opinion Skewness Kurtosis The Best Time to Intervene}, doi={10.1007/978-3-642-02469-6_108} }- Meiyang Chen
Yijun Liu
Year: 2012
Research on the Best Time to Intervene into Network Public Opinion for Managers -Based on "Nankai Buick Affair"-
COMPLEX PART 2
Springer
DOI: 10.1007/978-3-642-02469-6_108
Abstract
This study is based on network public opinion of the case - ”Nankai Buick Affair”. The daily number of posts as the variable, quantitative research is carried out on the law of change in network public opinion, which provides the scientific basis for managers to choose the best time to intervene. This article first begins from the three aspects: a number of changes in daily posts over time, the constitute of main topics and statistical analysis, and then gives a in-depth analysis of the law of change in network public opinion. After the emergency, performed by the number of posts, the shape of the rise and fall in network public opinion has three categories: sharp peak, severe right-skewed and fat tail. On this basis, then we study the changes of major issues in network public opinion in different stages: In the two periods: “Start- Peak” and “Peak-End”, not only the number of posts in BBS is not the same, but also the main topics in the BBS articles are different for the network public opinion of emergency. Finally, points out, If the managers issue truth of the incident in the prime time through the channels of authority, we can reduce the distance between the peak and the state of equilibrium for the network public opinion system, which is conducive to a smooth landing public opinion and social harmony.