摘要
无本文在经典传染病模型的基础上,加入重复转发因素的影响,构建了易感染者-犹豫者-感染者-免疫者的微博信息传播模型。并使用雷洋事件信息传播数据进行模拟仿真,仿真结果表明,该模型可以很好地描述微博信息传播的规律。
Based on the classic SIR model, the whole transmission node is divided into healthy node, browse node, transmission node and immune node. Meanwhile, factors for users to repeatedly forward messages are input to improve infectious disease model. Finally, the collected Weibo information dissemination data is simulated. The simulation results show that the simulated results agree well with actual statistical data of "Lei Yang incident" information dissemination, meantime the established micro-blog information propagation model can well describe the spread law.
作者
白黎
杨亚强
BAI Li;YANG Ya-qiang(Baoji University of Arts and Sciences, Baoji 721016 China)
出处
《自动化技术与应用》
2019年第6期59-62,共4页
Techniques of Automation and Applications
基金
国家社会科学基金项目(编号15XGL021)
关键词
微博
SIR模型
信息传播与控制
模拟仿真
microblog
Susceptible-Infected-Removed model
information transmission and control
simulation
