摘要
当前复杂网络上对交通驱动型病毒传播的研究均假设网络中所有节点具有相同的恢复概率,而节点间异质恢复概率对病毒传播的影响依然不清楚。文章研究异质恢复概率对交通驱动型病毒传播阈值的影响,得出网络结构、交通流量、恢复概率分配策略和路由策略等可以调整病毒传播的阈值。研究结果表明:当节点传输能力无限、网络中交通处于自由流时,合适的恢复概率分配策略可以提高传播阈值,并且恢复概率分配策略与路由策略耦合可以进一步提高传播阈值,有效抑制网络中病毒的传播;当节点传输能力有限、网络中存在交通拥挤时,病毒传播阈值增大,说明交通拥挤的存在会抑制病毒的爆发。
Current researches on traffic-driven epidemic spreading in complex networks assume that all nodes have the same recovery rates.However,the impact of heterogeneous recovery rates between nodes is unclear.This paper studies the influence of heterogeneous recovery rates on the threshold of epidemic spreading,and concludes that network structure,traffic flow,recovery rate allocation strategy and routing strategy can adjust the threshold.When the node transmission capacity is unlimited and the traffic is in free flow,the appropriate recovery rate allocation strategy can improve the epidemic spreading threshold,and the coupling of recovery rate allocation strategy and routing strategy can further improve the epidemic spreading threshold,which effectively inhibits the spread of epidemic in the network.When the node transmission capacity is limited and there is traffic congestion in the network,the epidemic spreading threshold increases,indicating that the existence of traffic congestion will inhibit epidemic outbreak.
作者
茆鹏飞
凌翔
MAO Pengfei;LING Xiang(School of Automobile and Traffic,Hefei University of Technology,Hefei 230009,China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2024年第6期773-777,共5页
Journal of Hefei University of Technology：Natural Science
基金
中央高校基本科研业务费专项资金资助项目(JZ2020HGTB0021)。
关键词
复杂网络
交通驱动
病毒传播
异质恢复概率
传播阈值
complex networks
traffic-driven
epidemic spreading
heterogeneous recovery rates
spreading threshold
作者简介
茆鹏飞(1996-),男,江苏盐城人,合肥工业大学硕士生;凌翔(1983-),男,安徽宣城人,博士,合肥工业大学副教授,硕士生导师.
