An Efficient Control Strategy of Epidemic Spreading on Scale-Free Networks

2009 ◽  
Vol 26 (6) ◽  
pp. 068901 ◽  
Author(s):  
Zhang Hai-Feng ◽  
Li Ke-Zan ◽  
Fu Xin-Chu ◽  
Wang Bing-Hong
Keyword(s):  
Control Strategy ◽  
Epidemic Spreading ◽  
Scale Free ◽  
Scale Free Networks ◽  
Efficient Control

scholarly journals Optimal Control Strategy for Traffic Driven Epidemic Spreading Based on Community Structure

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Fei Shao ◽  
Guo-Ping Jiang
Keyword(s):  
Community Structure ◽  
Control Strategy ◽  
Epidemic Spreading ◽  
Epidemic Threshold ◽  
Optimal Control Strategy ◽  
Scale Free ◽  
Second Moments ◽  
Scale Free Networks ◽  
Novel Strategy ◽  
The Impact

It is shown that community structure has a great impact on traffic transportation and epidemic spreading. The density of infected nodes and the epidemic threshold have been proven to have significant relationship with the node betweenness in traffic driven epidemic spreading method. In this paper, considering the impact of community structure on traffic driven epidemic spreading, an effective and novel strategy to control epidemic spreading in scale-free networks is proposed. Theoretical analysis shows that the new control strategy will obviously increase the ratio between the first and the second moments of the node betweenness distribution in scale-free networks. It is also found that the more accurate the community is identified, the stronger community structure the network has and the more efficient the control strategy is. Simulations on both computer-generated and real-world networks have confirmed the theoretical results.

scholarly journals Epidemic spreading in lattice-embedded scale-free networks

2007 ◽  
Vol 377 (1) ◽  
pp. 125-130 ◽  
Author(s):  
Xin-Jian Xu ◽  
Zhi-Xi Wu ◽  
Guanrong Chen
Keyword(s):  
Epidemic Spreading ◽  
Scale Free ◽  
Scale Free Networks

scholarly journals GEOGRAPHICAL EFFECTS ON EPIDEMIC SPREADING IN SCALE-FREE NETWORKS

2006 ◽  
Vol 17 (12) ◽  
pp. 1815-1822 ◽  
Author(s):  
XIN-JIAN XU ◽  
WEN-XU WANG ◽  
TAO ZHOU ◽  
GUANRONG CHEN
Keyword(s):  
Metric Space ◽  
Healthy Individual ◽  
Euclidean Distance ◽  
Nearest Neighbors ◽  
Epidemic Spreading ◽  
Sis Model ◽  
Scale Free ◽  
Scale Free Networks ◽  
Disease Spreading

Many real networks are embedded in a metric space: the interactions among individuals depend on their spatial distances and usually take place among their nearest neighbors. In this paper, we introduce a modified susceptible-infected-susceptible (SIS) model to study geographical effects on the spread of diseases by assuming that the probability of a healthy individual infected by an infectious one is inversely proportional to the Euclidean distance between them. It is found that geography plays a more important role than hubs in disease spreading: the more geographically constrained the network is, the more highly the epidemic prevails.

Epidemic spreading in a variety of scale free networks

2002 ◽  
Vol 66 (4) ◽  
Author(s):  
D. Volchenkov ◽  
L. Volchenkova ◽  
Ph. Blanchard
Keyword(s):  
Epidemic Spreading ◽  
Scale Free ◽  
Scale Free Networks

Inefficient epidemic spreading in scale-free networks

2008 ◽  
Vol 77 (2) ◽  
Author(s):  
Carlo Piccardi ◽  
Renato Casagrandi
Keyword(s):  
Epidemic Spreading ◽  
Scale Free ◽  
Scale Free Networks

scholarly journals Epidemic spreading with nonlinear infectivity in weighted scale-free networks

2011 ◽  
Vol 390 (3) ◽  
pp. 471-481 ◽  
Author(s):  
Xiangwei Chu ◽  
Zhongzhi Zhang ◽  
Jihong Guan ◽  
Shuigeng Zhou
Keyword(s):  
Epidemic Spreading ◽  
Scale Free ◽  
Scale Free Networks
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