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In the research of the problem of maximizing the influence of social networks, a propagation model based on the attraction between nodes is proposed for the calculation of node information propagation influence. In this study, we model the node properties of the network and use it to define the direct attraction and cumulative attraction, in which we consider the change and attenuation of the node influence. Also, we discuss the gravitational features of the nodes to establish a propagation method based on the independent cascade model. The probability of the node attraction is designed for activation between nodes. Finally, experiments on actual data sets show that the influence under this method is better than other methods.