新冠疫情前后机场加权网络抗毁性分析

Invulnerability analysis for airport weighted networks before and after COVID-19

为提升机场网络应对突发事件的能力,基于复杂网络,分析新冠疫情(COVID-19)前后我国机场网络的拓扑特性;利用节点强度加权处理机场网络,识别不同攻击策略下加权网络特征指标损失拟合曲线拐点,提出网络抗毁性评估方法。结果表明:疫情前后机场加权网络拓扑结构未发生明显变化,但连通程度略显稀疏;我国机场网络在不同蓄意攻击策略下抗毁性较差,当攻击比例达8.6%时,出现损失拟合曲线拐点,全局网络效率相对损失达24.39%,最大联通子图缩减率达14.67%,平均度相对损失达76.87%,平均聚类系数相对损失达68.84%;拐点之后,网络效率、最大联通子图缩减损失均加快,网络处于瘫痪状态。

In order to improve airport network's ability to cope with emergencies,topological characteristics of Chinese airport network before and after COVID-19 were analyzed based on complex network theory.And the network was weighted by using node strength,and an invulnerability assessment method was developed after identifying inflection points of loss fitting curves for weighted network characteristics metrics under different attack strategies.The results show that the topological structure of airport weighted network has no significant changes before and after the pandemic,but its connectivity is slightly sparse.And the airport network in China is much more vulnerable under different intentional attack strategies.When attack ratio reaches 8.6%,inflection point of loss fitting curves will appear,and relative loss of global network efficiency will amount to 24.39%,while reduction rate of the largest connected subgraph reaches 14.67%,and relative loss of average degree and average clustering coefficient is up to 76.87%and 68.84%,respectively.Moreover,loss of network efficiency and the largest connected subgraph reduction rate accelerates after inflection points,in which stage the network will be paralyzed.