A New Method for Evaluating Node Importance in Complex Networks Based on Data Field Theory

Estimating of the node importance in complex networks will help us research the core issues of real networks. Evaluating node importance with a single metric is incomplete and limited. This paper proposed a new measure of evaluating node importance. Its basic idea is sequencing the topology potential of node which is based on data field theory and combined with node-degree distribution, and identifying important nodes according to the topological potential. Simulation results of a real network show the feasibility and rationality of the new method.