%0 Journal Article
%A WEI Qiang
%A XIANG Ying-zhuo
%A YOU Ling
%T An Information Diffusion Pattern Mining Method Based on Communication Actions
%D 2019
%R 10.13190/j.jbupt.2018-204
%J Journal of Beijing University of Posts and Telecommunications
%P 83-90
%V 42
%N 3
%X To deal with the challenges of information diffusion pattern mining problem which the communication content is unknown and innocent data occupies a very high ratio of the observed data, the article proposes a probability model predicting the relativity of the communications between users, which infers the information diffusion. In addition, it proves the inferring problem NP-hard, and proposes NetMine algorithm to get a near optimal solution. Experiments show that the proposed NetMine algorithm outperforms other state-of-art algorithms.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-204