摘要
基于经典的传染病模型,引入情绪感染理论,构建刻画网民正负情绪交互的动态演化改进SIR模型,结合后疫情时期爬取的实际数据,通过MATLAB模拟仿真分析了后疫情期间网络舆情的演化趋势,验证了结果的有效性。研究结果表明:社会公信力和网民信息风险感知力的提升可以提高正面情绪净化率,从而使网络舆情的演化朝着积极的态势发展,对政府部门防控疫情和维护社会稳定具有积极意义。
Based on the classic infectious disease model,the emotional infection theory was introduced to construct an improved SIR model to depict the dynamic evolution of the positive and negative emotional interaction of netizens.Combined with the actual data crawled during the postepidemic period,the evolution trend of internet public opinion was shown through the MATLAB simulation,and the effectiveness of the result was verified.The research results show that the improvement of social credibility and the netizens’information risk perception can improve the purification rate of positive emotions,so as to make the evolution of internet public opinion develop towards a positive trend,which is of positive significance for government departments to prevent and control the epidemic and maintain social stability.
作者
瞿英
田红梅
种子鹏
QU Ying;TIAN Hong-mei;CHONG Zi-peng(School of Economics and Management,Hebei University of Science and Technology,Shijiazhuang 050018,China;Data Science and Intelligent Computing Research Center,Hebei University of Science and Technology,Shijiazhuang 050018,China)
出处
《河北科技大学学报（社会科学版）》
2021年第2期80-85,共6页
Journal of Hebei University of Science and Technology:Social Sciences
基金
河北省高等教育教学改革研究与实践项目(2019GJJG188)。
关键词
网络舆情
情绪感染
突发事件
SIR模型
internet public opinion
emotional infection
emergency
SIR model
