Analysis of Complex Resilience Network Nodes Based on Resilience Contribution
Ran Haodan, Hua Zhou, Juan Li, Zhe Wang · 2021
In order to overcome the problem that it is difficult to quantitatively analyze the difference in the influence of network nodes on the resilience network, the paper proposes a quantitative analysis and evaluation method based on the elastic contribution degree to analyze the importance of complex resilience network nodes. From the perspective of information transmission, this method finds out the relationship between network structure and network information transmission capability, and reveals the corresponding relationship between network functions and structures. In addition, the method introduces information transmission capacity as an important indicator to measure changes in network performance, and provides a basis for changes in network performance. Simulation experiments show that this method can obtain the elastic changes of the network under different node repair rates, and can calculate the relationship between the control parameters of the elastic mode and the elastic contribution of the network nodes. The results show the effectiveness and feasibility of this method in calculating the difference of the influence of network nodes on the elastic network.