Reliability Analysis for Aviation Airline Network Based on Complex Network

Abstract

In order to improve the reliability of aviation airline
network, this paper presents an empirical analysis on the
airline network structure of an aviation company in China
from the perspective of complex network, and the calculation
result of the statistical features and degree distribution of the
network, proves that the network is a small-world network
and a scale-free network. Four indicators, i.e. degree,
closeness, vertex betweenness and flow betweenness, are
utilized for aviation network centralization so as to distinguish
the most appropriate method. The influence of nodes in
local network is to be measured through the indicators. The
results show that vertex betweenness can achieve the best
aviation network centralization effect. Specifically, the
centrality degree reaches 95.87%. On this basis, the network
reliability is analyzed to discover that when two nodes with
maximum degree or maximum betweenness are removed,
the network performance is reduced by a half. Eventually,
countermeasures are proposed for further improvement
according to the results. In other words, complex network
method is feasible used to analyze the topological structure
and statistical features of aviation network. Based on this, a
study is conduced to the network reliability and suggestions
are proposed for optimizing the aviation network.