基于一个普适性的灾害蔓延动力学模型,在三种网络拓扑结构(随机网、小世界网和无标度网)下,仿真分析了网络中心性对灾害蔓延速度和扩散趋势的影响.通过改变初始蔓延条件来分析网络初始状态对蔓延效率的影响,并着重讨论了在四种初始崩溃节点选取策略下灾害蔓延最终状态的差异.结果表明:对于四种攻击策略,网络最终状态有着明显的差异,网络对随机攻击具有较强的抵御能力,而对于目标,攻击却显示较强的脆弱性,或许,三种网络表现出不同的脆弱程度.最后,在一个实际网络上对理论分析结果进行了验证.
Based on a general dynamical model for disaster spreading, in different network structures, i.e. in Erdos-Renyi network, scale- free network and small world network, the influences of network centrality on the speed and trend of disaster spreading are analyzed by simulation. By changing the initial spreading condition, the influence of initial state on the spreading efficiency is analyzed. In this paper the differences between final disaster spreading state are mainly discussed based on four initial vertex-choosing strategies. For the four strategies, it is shown that there are apparent differences. Complex network has a strong ability to resist random attacks but is is fragile to resist intentional attacks. However, the three networks show different degrees of fragility. And then, the theoretical analysis results are verified in an actual network.