基于活跃度的网络免疫策略

免疫策略是抑制复杂网络传播过程的有效方法。虽然基于网络拓扑的免疫策略取得了良好的免疫效果,但这些策略都基于同构性假设,即:网络中的节点具有相同的属性。然而,越来越多的研究揭示了网络节点的异构特征,如传播过程中节点具有不同的活跃度,活跃的节点能够促进传播。笔者结合网络结构和节点活跃度,提出了一种新的免疫策略,在真实网络和人工网络中的仿真结果表明,所提免疫策略能够有效抑制传播扩散。

Network immunization based on the node activities

Network immunization is an effective strategy for restraining the propagation process in complex networks. Although lots of strategies based on the topological structure of a network have achieved good immunization effects, they have the same homogeneous assumption, i.e., nodes have same characteristic. However, more and more existing studies have found the heterogeneous characteristics of nodes in a network. For example, nodes have different activity during the propagation process and a node with higher activity can promote the propagation process. Combining the network topology and the activity of node, this paper proposes a novel strategy for restraining virus propagation. Some experiments have been conducteded in benchmark and synthetic networks. The simulation results show that the proposed strategy can restrain propagation effectively.