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.
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