Reliability Analysis for Aviation Airline Network Based on Complex Network
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 n...
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto de Aeronáutica e Espaço (IAE)
2014-05-01
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| Series: | Journal of Aerospace Technology and Management |
| Subjects: | |
| Online Access: | https://www.jatm.com.br/jatm/article/view/295 |
| _version_ | 1818471226510671872 |
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| author | Dong Bing |
| author_facet | Dong Bing |
| author_sort | Dong Bing |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T03:48:21Z |
| format | Article |
| id | doaj.art-e4b0f6f6d9ac44ae8406afcdfb72b467 |
| institution | Directory Open Access Journal |
| issn | 2175-9146 |
| language | English |
| last_indexed | 2024-04-14T03:48:21Z |
| publishDate | 2014-05-01 |
| publisher | Instituto de Aeronáutica e Espaço (IAE) |
| record_format | Article |
| series | Journal of Aerospace Technology and Management |
| spelling | doaj.art-e4b0f6f6d9ac44ae8406afcdfb72b4672022-12-22T02:14:09ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management2175-91462014-05-0162Reliability Analysis for Aviation Airline Network Based on Complex NetworkDong Bing0School of Traffic and Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China; Civil Aviation Flight University of ChinaIn 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.https://www.jatm.com.br/jatm/article/view/295Complex networkAviation networkScale-free propertyReliability. |
| spellingShingle | Dong Bing Reliability Analysis for Aviation Airline Network Based on Complex Network Journal of Aerospace Technology and Management Complex network Aviation network Scale-free property Reliability. |
| title | Reliability Analysis for Aviation Airline Network Based on Complex Network |
| title_full | Reliability Analysis for Aviation Airline Network Based on Complex Network |
| title_fullStr | Reliability Analysis for Aviation Airline Network Based on Complex Network |
| title_full_unstemmed | Reliability Analysis for Aviation Airline Network Based on Complex Network |
| title_short | Reliability Analysis for Aviation Airline Network Based on Complex Network |
| title_sort | reliability analysis for aviation airline network based on complex network |
| topic | Complex network Aviation network Scale-free property Reliability. |
| url | https://www.jatm.com.br/jatm/article/view/295 |
| work_keys_str_mv | AT dongbing reliabilityanalysisforaviationairlinenetworkbasedoncomplexnetwork |