摘要
本文基于复杂网络的理论与方法,测算了中国航空网络的静态几何特征,综合利用节点度、加权度、介数中心性和特征向量中心性对节点的重要性进行排序,设计了随机和蓄意攻击实验,并借助最短路径长度、聚类系数及网络破碎度来评估航空网络的鲁棒性。结果表明:航线分布东密西疏,少数核心城市拥有大量航线及航班;航空网络在面对随机攻击时具有较强的鲁棒性,在移除大部分节点后,并不影响局部区域的运输效率;在面对蓄意攻击时则比较脆弱,在移除约21%的节点后,局部运输效率便迅速下降至0,网络结构也迅速瓦解,但直至移除约80%的节点后,整体运输效率才完全丧失。
Based on the theory and method of complex network,this paper calculates the static geometric features of Chinese air transport network,sorts the importance of node degree,weighted degree,betweenness centrality and eigenvector centrality,designs random and deliberate attack experiments,and uses the shortest path length and Clustering coefficient and network fragmentation to evaluate the robustness of air transport network.The results show that the route distribution is east and west,and a few core cities have a large number of routes and flights,and the air transport network has strong robustness in the face of random attacks,and after removing most of the nodes,it does not affect the transportation efficiency of local areas,and is more vulnerable in the face of intentional attacks,after removing about 21%of the nodes,Local transport efficiency quickly dropped to 0,and the network structure quickly collapsed,but the overall transport efficiency was completely lost until about 80%of the nodes were removed.
作者
柴星思
CHAI Xingsi(College of Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266510,China)
出处
《北京测绘》
2019年第3期280-284,共5页
Beijing Surveying and Mapping
关键词
复杂网络
航空网络
鲁棒性
节点重要性
运输效率
complex network
air transport network
robustness
node importance
transportation efficiency
