Journal
PHYSICA D-NONLINEAR PHENOMENA
Volume 457, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physd.2023.133978
Keywords
Multiplex network; Robustness; Multiplex motif; Malicious attack
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This research focuses on the robustness of multiplex networks and proposes a new index to measure their stability under malicious attacks. The effectiveness of this method is verified in real multiplex networks.
Multiplex network is a classic multilayer network model that can be used to model complex systems in the real world. Previous measures of network robustness mainly focused on the low-order characteristics of network topology, and the existence of motifs in the network is ignored. As simple building blocks of multiplex networks, multiplex motifs are indispensable tools to understand the structure of local networks. Therefore, from a mesoscopic perspective, we propose an index called normalized motif entropy to measure the robustness of multiplex networks under malicious attacks, and the effectiveness of our method is verified in real multiplex networks.
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