Research on the Robustness of Complex Networks Based on Dependent Node Information Attack Strategy

Many real networks can be abstracted into complex networks, and most of these complex networks are interdependent. Once a functional node in a network is attacked and fails, its dependent nodes will be affected, resulting in a series of cascading failures. Therefore, in the load capacity model, based on the common deliberate attack strategies based on degree and intermediate information, this paper establishes two deliberate attack strategies considering the degree and intermediate information of nodes and their dependent nodes, and studies the influence of the above deliberate attack strategies on the robustness of different dependent networks under different coupling modes (homogamous coupling, random coupling, and heterogamous coupling). The simulation results show that: Firstly, adjusting the node tolerance parameters within a certain range can improve the robustness of the dependent network; Secondly, the deliberate attack strategy established in this paper has better attack effect than the common attack strategy based on degree and interface information. Finally, it is considered that node degree value information is more valuable than interface value information.