Node centrality algorithm based on Fluid Bernoulli Static Pressure

Node importance measurement is of great significance for studying the robustness and vulnerability of power communication network. The structure of large-scale real power communication networks tends to change over time and has limitations in obtaining global network information for assessing the importance of nodes. A node importance assessment algorithm Similar Fluid Bernoulli Static Pressure (SBSP) is proposed by quantifying the current intensity generated by the external sources of the local network topology. Aiming at the neighborhood connection information in two hops of the central node and the characteristics of the neighboring nodes, the algorithm combines the generalized resistance distance and Fluid Bernoulli equation to characterize the structure importance of the central node in the network. Based on six classical IEEE power grid topologies, the network is gradually attacked in order of node importance. By comparing the experimental results of the maximum connectivity subgraph, network efficiency and node importance differentiation, it is proved that the proposed algorithm is superior to the four traditional algorithms and three abstract algorithms based on physical model proposed in recent years.