节点文献
局部世界网络的统计特性和抗攻击性仿真研究
Statistical Properties and Resilience of Local-world Networks
【摘要】 复杂网络的抗攻击性已经成为复杂网络研究中的一个热点问题。采用局部世界演化模型来研究大规模复杂网络的统计特性以及网络对不同类型的攻击的抵抗能力。通过计算机仿真探讨统计特性和模型参数的关系,同时在仿真网络攻击时,随着网络被破坏程度的增加,记录表征网络拓扑结构变化的几个重要参数的变化。仿真结果表明,局部世界演化网络在网络连接特性和抗攻击性方面都表现出介于指数分布网络和幂律分布网络之间的过渡特性。
【Abstract】 The property of resilience of complex networks has been the subject of a good deal of attention in the literature. Local-world evolving model was adopted to investigate network’s statistical properties and the effect of random error and intentional attack on network’s topology through numerical simulations. Under attack, with the increase of the number of removed nodes, several important topological parameters were recorded to demonstrate the resilience of network. Simulation results show the existence of transitional behaviors with respect to both connectivity distribution and resilience to errors and attacks in this kind of model networks.
【Key words】 complex network; local-world evolving model; network resilience; error; attack;
- 【文献出处】 系统仿真学报 ,Journal of System Simulation , 编辑部邮箱 ,2006年S2期
- 【分类号】TP391.9
- 【被引频次】6
- 【下载频次】171