Abstract
Network dismantling aims to identify the minimum set of nodes whose removal breaks the network into components of sub-extensive size. The solution to this problem is significant for designing optimal strategies for immunization policies, information spreading, and network attack. Modern systems, such as social networks and critical infrastructure networks, which consist of nodes connected by links of multiple types can be encapsulated into the framework of multiplex networks. Here we focus on the dismantling problem in multiplex networks under layer node-based attack, and propose an efficient dismantling algorithm based on network decycling. Experiments on synthetic and real-world networks show that the proposed algorithm outperforms existing algorithms by a considerable margin. We also show how the robustness of a multiplex network is affected by the interlayer degree correlation. Our results shed light on the design of more resilient network systems and the effective destruction of harmful networks.
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Data Availability Statement
This manuscript has associated data in a data repository. [Authors’ comment: The real-world multiplex network datasets analysed during the current study are available at: https://manliodedomenico.com/data.php. The synthetic multiplex network datasets generated and analysed during the current study are available from the corresponding author on reasonable request.]
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant Number 11947058), and the Henan Provincial Education Department (Key Scientific Research Project of Colleges and Universities in Henan Province with Grant Number 20A120011).
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JH conceived the project and performed the simulations. All the authors were involved in the preparation of the manuscript. All the authors have read and approved the final manuscript.
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Han, J., Tang, S., Shi, Y. et al. An efficient layer node attack strategy to dismantle large multiplex networks. Eur. Phys. J. B 94, 74 (2021). https://doi.org/10.1140/epjb/s10051-021-00083-1
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DOI: https://doi.org/10.1140/epjb/s10051-021-00083-1