CASIA OpenIR  > 互联网大数据与安全信息
Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza
Tianyi Luo; Zhidong Cao; Daniel Zeng
2019-07
Conference Name2019 IEEE International Conference on Intelligence and Security Informatics (ISI)
Conference Date1-3 July 2019
Conference PlaceShenzhen, China
Abstract

This paper studied the public opinion dissemination mechanism of public health events such as avian influenza on WeChat. We collected 25,572 posts related to “avian influenza” and “H7N9” from WeChat accounts and proposed the NRT model to simulate the spread of avian influenza public opinion in WeChat. Fitting results show that it can well explain the information dissemination process and mechanism within the WeChat public account. Then the influence of model parameters on the propagation of network public opinion is further studied. Our research can provide a theoretical basis for network public opinion prediction and prevention, and has great significance for the stability of the network environment.

Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26108
Collection互联网大数据与安全信息
AffiliationState Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Tianyi Luo,Zhidong Cao,Daniel Zeng. Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza[C],2019.
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