Worldwide aviation network vulnerability analysis: a complex network approach

被引:0
作者
Tran, Q. H. Anh [1 ]
Namatame, Akira [1 ]
机构
[1] Natl Def Acad Japan, Dept Comp Sci, Yokosuka, Kanagawa, Japan
关键词
WAN; Breakdown; Vulnerability; Resilience;
D O I
10.1007/s40844-015-0025-y
中图分类号
F [经济];
学科分类号
02 ;
摘要
Transportation networks play a crucial role nowadays, not only in positive terms that include human mobility and the exchange of goods, but also in negative terms that include the spread of diseases and other malignancies. Among these networks, the worldwide aviation network (WAN) has become the largest and one of the most important global transportation networks in modern society, supporting the traffic of billions of passengers traveling between thousands of airports on millions of flights every year. Since the WAN has become one of the indispensable infrastructures in our daily lives, understanding its structure and vulnerability is an essential issue. In this work, we apply complex network analyses to elucidate the hidden characteristics of the network. We first construct a global aviation network using datasets obtained from an open source project named OpenFlights. We then clarify the topological and spatial characteristics of the constructed network and provide a binary status model to investigate the dynamics of the network with emphasis on its vulnerability as a result of extreme events. Our results may contribute to the understanding of the response of the network to disturbances and provide insights on the construction of a robust network and the improvement of the network resilience.
引用
收藏
页码:349 / 373
页数:25
相关论文
共 34 条
[1]   Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[2]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[3]   Classes of small-world networks [J].
Amaral, LAN ;
Scala, A ;
Barthélémy, M ;
Stanley, HE .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (21) :11149-11152
[4]  
[Anonymous], [No title captured]
[5]  
[Anonymous], [No title captured]
[6]   Analysis of the airport network of India as a complex weighted network [J].
Bagler, Ganesh .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (12) :2972-2980
[7]   Collective Response of Human Populations to Large-Scale Emergencies [J].
Bagrow, James P. ;
Wang, Dashun ;
Barabasi, Albert-Laszlo .
PLOS ONE, 2011, 6 (03)
[8]   Scale-free characteristics of random networks:: the topology of the World-Wide Web [J].
Barabási, AL ;
Albert, R ;
Jeong, H .
PHYSICA A, 2000, 281 (1-4) :69-77
[9]   The effects of spatial constraints on the evolution of weighted complex networks -: art. no. P05003 [J].
Barrat, A ;
Barthélemy, M ;
Vespignani, A .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2005, :49-68
[10]   Fast unfolding of communities in large networks [J].
Blondel, Vincent D. ;
Guillaume, Jean-Loup ;
Lambiotte, Renaud ;
Lefebvre, Etienne .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008,