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突发公共卫生事件中的网络舆情扩散机制——基于熵流分析与耗散结构判定

Internet Public Opinion Diffusion Mechanism in Public Health Emergencies: Based on Entropy Flow Analysis and Dissipative Structure Determination.

机构信息

College of Public Administration and Law, Hunan Agricultural University, Changsha, China.

出版信息

Front Public Health. 2021 Oct 15;9:731080. doi: 10.3389/fpubh.2021.731080. eCollection 2021.

DOI:10.3389/fpubh.2021.731080
PMID:34722441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8553981/
Abstract

As an empirical case, this study selected the illegal production process incidents of rabies and DPT (Diphtheria, Pertussis, Tetanus) vaccines by Changchun Longevity Biotechnology Co., Ltd., which occurred in July 2018. Based on the four factors involved in the spread of public opinion, the public health emergency, netizen, network media, and government, Brusselator model, and entropy method were applied to calculate the positive and negative entropy-to verify whether the Internet public opinion system is a dissipative structure. This study verified four evolution mechanisms in Internet public opinion diffusion, among which the trigger point of entropy-control occurred in the germination mechanism, the entropy-controlled disposal point occurred in the outbreak and fluctuating mechanism, and then became latency in the elimination mechanism. It provides a theoretical reference for the government to judge the stage of such diffusion and improve the governance ability of the opinion mentioned above.

摘要

作为一个实证案例,本研究选取了 2018 年 7 月长春长生生物科技有限公司非法生产狂犬病和 DPT(白喉、百日咳、破伤风)疫苗的事件。基于舆论传播的四个因素,公共卫生紧急事件、网民、网络媒体和政府,布鲁塞尔ator 模型和熵方法被应用于计算正熵和负熵,以验证互联网舆论系统是否是一个耗散结构。本研究验证了互联网舆论传播的四种演化机制,其中熵控制的触发点发生在萌芽机制中,熵控制的处理点发生在爆发和波动机制中,然后在消除机制中变为潜伏期。它为政府判断此类扩散的阶段并提高上述观点的治理能力提供了理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/2f2aa037a561/fpubh-09-731080-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/69ff861e0431/fpubh-09-731080-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/8d795e024f06/fpubh-09-731080-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/2f2aa037a561/fpubh-09-731080-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/69ff861e0431/fpubh-09-731080-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/8d795e024f06/fpubh-09-731080-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c4/8553981/2f2aa037a561/fpubh-09-731080-g0003.jpg

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Int J Environ Res Public Health. 2020 Dec 10;17(24):9235. doi: 10.3390/ijerph17249235.
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Digital Surveillance for Monitoring Environmental Health Threats: A Case Study Capturing Public Opinion from Twitter about the 2019 Chennai Water Crisis.数字监控在环境健康威胁监测中的应用:以 2019 年钦奈水危机中从 Twitter 上获取公众意见为例的研究。
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