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鲁棒性用来表示系统在被干扰情况下保持其功能或性质的能力,网络结构鲁棒性不仅反映了网络模型对于破坏的抵御能力,而且还要体现遭受破坏后结构的恢复能力。现实中对网络进行攻击的方式很多,比较典型的是随机攻击和恶意攻击。本文采用随机攻击的破坏方式分析超网络模型的鲁棒性,在4种超网络模型网络中根据概率DP随机去除DP×N个节点及其相应的边,在破坏过程中,采用的是一次性破坏方式,即同时破坏
Robustness is used to indicate the ability of the system to maintain its function or nature in the event of interference. The robustness of the network structure not only reflects the resilience of the network model to damage, but also the structural resilience of the damaged system. In reality, there are many ways to attack the network. Random attacks and malicious attacks are typical. In this paper, the robustness of the super-network model is analyzed by means of the attack of random attacks. DP × N nodes and their corresponding edges are randomly removed according to the probability DP in four kinds of super-network model networks. During the destruction process, the one-time Destruction way, that is destroyed at the same time