Impact of edge removal on the centrality betweenness of the best spreaders

被引:13
作者
Chung, N. N. [1 ]
Chew, L. Y. [2 ]
Zhou, J. [1 ]
Lai, C. H. [3 ,4 ]
机构
[1] Natl Univ Singapore, Temasek Labs, Singapore 117508, Singapore
[2] Nanyang Technol Univ, Sch Phys & Math Sci, Div Phys & Appl Phys, Singapore 637371, Singapore
[3] Natl Univ Singapore, Beijing Hong Kong Singapore Joint Ctr Nonlinear &, Kent Ridge 119260, Singapore
[4] Natl Univ Singapore, Dept Phys, Singapore 117542, Singapore
关键词
EPIDEMICS; INFLUENZA; NETWORK;
D O I
10.1209/0295-5075/98/58004
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The control of epidemic spreading is essential to avoid potential fatal consequences and also, to lessen the unforeseen socio-economic impact. The need for effective control is exemplified during the severe acute respiratory syndrome (SARS) epidemy in 2003, which has inflicted nearly a thousand deaths as well as bankruptcies of airlines and related businesses. In this article, we examine the efficacy of control strategies on the propagation of infectious diseases based on removing connections within real-world airline networks with the associated economic and social costs taken into account through defining appropriate quantitative measures. We uncover the surprising results that removing less busy connections can be far more effective in hindering the spread of the disease than removing the more popular connections. Since disconnecting the less popular routes tends to incur less socio-economic cost, our finding suggests the possibility of trading minimal reduction in connectivity of an important hub with efficiencies in epidemic control. In particular, we demonstrate the performance of various local epidemic control strategies, and show how our approach can predict their cost effectiveness through the spreading control characteristics. Copyright (C) EPLA, 2012
引用
收藏
页数:5
相关论文
共 24 条
[1]  
[Anonymous], 2003, ARXIVCS0310049V1
[2]  
[Anonymous], 2007, ACM Trans. Knowl. Discov. Data
[3]  
[Anonymous], COMPUTATIONAL GEOMET
[4]   Epidemic spreading in correlated complex networks -: art. no. 047104 [J].
Boguñá, M ;
Pastor-Satorras, R .
PHYSICAL REVIEW E, 2002, 66 (04) :4
[5]   Empirical evidence for the effect of airline travel on inter-regional influenza spread in the United States [J].
Brownstein, John S. ;
Wolfe, Cecily J. ;
Mandl, Kenneth D. .
PLOS MEDICINE, 2006, 3 (10) :1826-1835
[6]   A model of Internet topology using k-shell decomposition [J].
Carmi, Shai ;
Havlin, Shlomo ;
Kirkpatrick, Scott ;
Shavitt, Yuval ;
Shir, Eran .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (27) :11150-11154
[7]   Finding a better immunization strategy [J].
Chen, Yiping ;
Paul, Gerald ;
Havlin, Shlomo ;
Liljeros, Fredrik ;
Stanley, H. Eugene .
PHYSICAL REVIEW LETTERS, 2008, 101 (05)
[8]   The role of the airline transportation network in the prediction and predictability of global epidemics [J].
Colizza, V ;
Barrat, A ;
Barthélemy, M ;
Vespignani, A .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (07) :2015-2020
[9]   Reaction-diffusion processes and metapopulation models in heterogeneous networks [J].
Colizza, Vittoria ;
Pastor-Satorras, Romualdo ;
Vespignani, Alessandro .
NATURE PHYSICS, 2007, 3 (04) :276-282
[10]   Detecting robust patterns in the spread of epidemics:: A case study of influenza in the united states and France [J].
Crepey, Pascal ;
Barthelemy, Marc .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2007, 166 (11) :1244-1251