Quantitative Evaluation Algorithm for Node Importance of Complex Networks

This paper applies the gray relation analysis theory to the ascertain of the node importance of complex network,and defines suppositional perfect "kernel node".It takes the gray correlation degree as measure to evaluate the correlation degree of every node of the network and the perfect "kernel node",more correlation degree more important in the network.Simulation results show the algorithm is effective,and its operation speed is fast.It can get perfect calculation capability in large-sized complex network.