Efficiency and reliability of epidemic data dissemination in complex networks
Efficiency and reliability of epidemic data dissemination in complex networks
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DOI：
10.1103/physreve.69.055101
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发表时间：
2004-05-01
影响因子：
2.4
通讯作者：
Vespignani, A
中科院分区：
文献类型：
--
作者：
Moreno, Y;Nekovee, M;Vespignani, A
我们研究流行病传播过程的动力学，目的是在具有复杂连接模式的人群中自发传播信息更新。在这些过程中的网络的拓扑结构的影响进行了研究，通过分析的几个全局参数，如可靠性，效率和负载的行为。大规模数值模拟的更新扩散过程表明，虽然网络具有同质连接模式允许更高的可靠性，无标度拓扑结构允许更好的效率。
We study the dynamics of epidemic spreading processes aimed at spontaneous dissemination of information updates in populations with complex connectivity patterns. The influence of the topological structure of the network in these processes is studied by analyzing the behavior of several global parameters, such as reliability, efficiency, and load. Large-scale numerical simulations of update-spreading processes show that while networks with homogeneous connectivity patterns permit a higher reliability, scale-free topologies allow for a better efficiency.