| Summary: | In order to improve the detection and recognition performance of weak tie overlapping communities,this paper proposes a community detection method based on time interaction bias influence propagation model.The target function for the model segmentation of community detection graph is designed and the load balance of the processor is optimized by applying community structure,so as to improve the solution efficiency of the model.Based on the neighborhood edge density,the approximate active edge is redefined and an influence propagation model is established,which can confirm that the users have high interaction frequency and have strong recognition performance for weak tie users.On this basis,a time interaction bias community detection method based on overlapping community detection is proposed.Experimental results show that the proposed method has high recognition accuracy and efficiency when conducting detection on overlapping communities.
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