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Optimal Control Strategy for Traffic Driven Epidemic Spreading Based on Community Structure
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shao, Fei& Jiang, Guo-Ping. 2013. Optimal Control Strategy for Traffic Driven Epidemic Spreading Based on Community Structure. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1008680
Modern Language Association (MLA)
Shao, Fei& Jiang, Guo-Ping. Optimal Control Strategy for Traffic Driven Epidemic Spreading Based on Community Structure. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1008680
American Medical Association (AMA)
Shao, Fei& Jiang, Guo-Ping. Optimal Control Strategy for Traffic Driven Epidemic Spreading Based on Community Structure. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1008680
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1008680