Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance

Abstract

In order to study the weak links of the China-Europe freight train logistics network, the countries and cities along the route are counted, and the China-Europe freight train container logistics network is constructed, and a node importance analysis method is designed by combining the node degree and betweenness of the network. In this paper, random attack and deliberate attack are used to study the changes of network characteristic values, such as the average degree of the network, the proportion of isolated nodes, the average path length, and the network efficiency. The research shows that under the deliberate attack, the node average degree, aggregation coefficient, network efficiency, and average path length of the China-Europe train network decrease rapidly with the increase of the attack ratio and decrease to 0. Under random attack, the average node degree, network efficiency, and average path length of the network show a slow decrease trend with the increase of the attack ratio, and the aggregation coefficient shows a trend of slow increase and then decrease. The isolated node is no longer connected to other nodes under the deliberate attack and random attack, so the attacked node is the isolated point, which increases the cardinality of the isolated node. The China Railway Express network is relatively strong under random attacks, and relatively vulnerable when it is deliberately attacked. It is found that some nodes in the China Railway Express play an important role in the connectivity of the network.