Robustness of dual-layer networks considering node load redistribution

To investigate the spread of cascading failure on dual-layer networks, we propose a dual-layer network model based on eigenvector centrality and define network interactions through different connection strategies. Following the local priority reallocation rule of load and the nonlinear relationship between load and capacity, we conduct theoretical analysis of the proposed model and simulate it on the BA scale-free network. The result simulation shows that under different connection strategies, when the controllable coefficient α=0.6 of the initial load, the dual-layer network demonstrates better robustness regardless of attacking a node with a large initial load or a small initial load. And when α<0.6, the robustness of the network for attacking a node with low initial load is enhanced as the node coupling rate of the dual-layer network increases. For α≥0.6, the variation of network robustness does not vary essentially with the node coupling rate.