According to the driving effect of people's social relations and interests on the social activities of nodes,a mobility model based on user interest similarity was presented.The interest degree of node to the activities was described with a interest probability matrix,and Pearson correlation coefficient was used to calculate the similar interest groups of nodes.Simulation results show that,the complementary cumulative density function of inter-contact time and contact duration in a certain time approximately follows power-law distribution,which is more consistent with the curve obtained from statistical results of real data set.Additionally, strong space-time regularity is observed when nodes are involved in the activities in the evening.