| 摘要 |
Disclosed is a method for predicting information propagation in a social network, comprising: acquiring target information to be predicted and acquiring the influence of K clusters, wherein the target information is published or forwarded by a first user at a first moment, and K is a positive integer (101); determining the role probability distribution of the first user, and determining a second user who does not propagate the target information, wherein the role probability distribution of the first user is used for representing the probability of the first user respectively belonging to the K clusters (102); and according to the influence of the K clusters and the role probability distribution of the first user, determining the probability of the second user forwarding the target information from the first user (103). By using the influence of K clusters, the prediction method can predict the propagation of target information in a social network, involves a small amount of calculation, has a high calculation efficiency, and can solve a cold start problem with regard to a new user. |
