摘要
通过分析惩罚因子对谣言传播的影响,建立了具有惩罚因子的谣言传播模型,并且得到了具有惩罚因子的平均场方程.通过对模型的稳定性分析,得到了与惩罚因子有关的网络谣言阈值.并通过一系列仿真验证得出:无论是在BA无标度网络中还是在均质网络中,随着惩罚因子的加大,谣言传播者对系统的影响越来越弱;惩罚因子对易感者的影响最大,对易感者加大惩罚力度,可以有效地降低系统中的感染者密度.
By analyzing the influence of the penalty factor on rumor propagation,a rumor propagation model with a penalty factors was established,and a mean field equation with a penalty factors was obtained.Through the stability analysis of the model,the network rumor threshold related to the penalty factor was obtained.Simulation experiments show:whether it is in the BA scale-free network or in the homogeneous network,as the penalty factors increases,the influence of the rumor spreader on the system becomes weaker and weaker;The punishment factor has the greatest impact on the susceptible,and increasing the punishment for the susceptible can effectively reduce the density of infected persons in the system.
作者
王丹
皇倩倩
WANG Dan;HUANG Qianqian(Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang 110004, China)
出处
《沈阳大学学报（自然科学版）》
CAS
2020年第6期484-489,共6页
Journal of Shenyang University：Natural Science
基金
国家自然科学基金资助项目(61873338)
辽宁省自然科学基金资助项目(20180550671)
中国博士后基金资助项目(2018M630303).
关键词
惩罚因子
谣言传播
传播阈值
BA无标度网络
均质网络
penalty factors
rumor propagation
propagation threshold
BA scale-free network
homogeneous network
