Spatial epidemic spreading, a fundamental dynamical process upon complex networks, attracts huge research interest during the past few decades. To suppress the spreading of epidemic, a couple of effective methods have been proposed, including node vaccination. Under such a scenario, nodes are immunized passively and fail to reveal the mechanisms of active activity. Here, we suggest one novel model of an observer node, which can identify infection through interacting with infected neighbors and inform the other neighbors for vaccination, on multiplex networks, consisting of epidemic spreading layer and information spreading layer. In detail, the epidemic spreading layer supports susceptible-infected-recovered process, while observer nodes will be selected according to several algorithms derived from percolation theory. Numerical simulation results show that the algorithm based on large degree performs better than random placement, while the algorithm based on nodes’ degree in the information spreading layer performs the best (i.e., the best suppression efficacy is guaranteed when placing observer nodes based on nodes’ degree in the information spreading layer). With the help of state probability transition equation, the above phenomena can be validated accurately. Our work thus may shed new light into understanding control of empirical epidemic control.
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July 2019
Research Article|
July 19 2019
Suppression of epidemic spreading process on multiplex networks via active immunization
Special Collection:
Focus Issue: Complex Network Approaches to Cyber-Physical Systems
Zhaoqing Li;
Zhaoqing Li
a)
1
School of Automation, Northwestern Polytechnical University (NWPU)
, Xi’an, Shaanxi 710072, China
2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), NWPU
, Xi’an, Shaanxi 710072, China
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Peican Zhu;
Peican Zhu
a)
3
School of Computer Science and Engineering, NWPU
, Xi’an, Shaanxi 710072, China
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Dawei Zhao;
Dawei Zhao
4
Qilu University of Technology (Shandong Academy of Sciences)
, Jinan, Shandong 250014, China
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Zhenghong Deng;
Zhenghong Deng
b)
1
School of Automation, Northwestern Polytechnical University (NWPU)
, Xi’an, Shaanxi 710072, China
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a)
Contributions: Z. Li and P. Zhu contributed equally to this work.
b)
Electronic mail: [email protected]
c)
Corresponding author: [email protected] and [email protected]
Note: The paper is part of the Focus Issue, "Complex Network Approaches to Cyber-Physical Systems."
Chaos 29, 073111 (2019)
Article history
Received:
February 16 2019
Accepted:
June 22 2019
Citation
Zhaoqing Li, Peican Zhu, Dawei Zhao, Zhenghong Deng, Zhen Wang; Suppression of epidemic spreading process on multiplex networks via active immunization. Chaos 1 July 2019; 29 (7): 073111. https://doi.org/10.1063/1.5093047
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