摘要
复杂网络的中心化有助于发现复杂网络中的重要节点,因而具有重要的应用价值。将中心化的研究推广到了加权网络,首先在一个小的加权网络模型上刻画了几种重要的中心化指标,通过定量分析,指出了不同中心化指标的特点;并将三种节点重要性指标应用于BBV网络,分别对这三种中心化指标最大的节点进行目标免疫,通过模拟病毒传播趋势,得出节点的强度指标对这种网络的传播影响最大。
Centralization of complex networks, which can help us find important nodes in complex networks, is of great practical value in many applications. In this paper, the research of centralization is extended to weighted networks. Firstly, we introduce several important indices by putting them in a small weighted network model and the characteristics of them are analyzed. Then we put three centrality indices into the research of BBV weighted network model. We choose the nodes which has the biggest centrality indices to targeted immunization respectively. Through simulating the trend of virus spreading, we find that ,the strength index of nodes has the most effect on the virus spreading in this weighted network model.
出处
《计算机安全》
2013年第4期47-49,共3页
Network & Computer Security
关键词
节点重要性
度
紧密度
介数
vertex centra）ization
degree
closeness
betweenness
