Aiming at the measurement problem of node importance in complex networks, a node importance evaluation model based on community betweenness and triangle structure is proposed. Considering the node degree, the location information of nodes and the community structure of the network at the same time, experiments are carried out on several spatial information network models to verify the effectiveness of the proposed model. The results show that, compared with other index, the model can measure the influence of nodes more accurately in the spatial information network.