Volume 115, Number 5, September 2016
|Number of page(s)||7|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||17 October 2016|
The robustness of interdependent networks under the interplay between cascading failures and virus propagation
1 Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan) - Jinan 250014, China
2 Interdisciplinary Graduate School of Engineering Sciences, Kyushu University - Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan
3 School of Electrical and Electronic Engineering, Nanyang Technological University 50 Nanyang Avenue, 639798 Singapore
4 Complexity Institute, Nanyang Technological University - 18 Nanyang Drive, 637723 Singapore
5 School of Computer Information Management, Inner Mongolia University of Finance and Economics Hohhot 010051, China
Received: 6 August 2016
Accepted: 22 September 2016
Cascading failures and epidemic dynamics, as two successful application realms of network science, are usually investigated separately. How do they affect each other is still an open, interesting problem. In this letter, we couple both processes and put them into the framework of interdependent networks, where each network only supports one dynamical process. Of particular interest, they spontaneously form a feedback loop: virus propagation triggers cascading failures of systems while cascading failures suppress virus propagation (i.e., the interplay between cascading failures and virus propagation, also named CF-VP model). Under this novel model, the interdependent networks will collapse completely if virus transmissibility exceeds a crucial threshold. In addition, only when the network sustaining the epidemic dynamics has a larger average degree, will the interdependent networks become more vulnerable, which is opposite to the observation of traditional cascading models in interdependent networks. To protect interdependent networks we also propose control measures based on the identification capability: a stronger identification capability leads to more robust interdependent networks.
PACS: 89.75.-k – Complex systems / 64.60.aq – Networks / 05.45.-a – Nonlinear dynamics and chaos
© EPLA, 2016
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