Abstract
It is an important research point of social network analysis to predict future propagation range of information based on its early propagation characteristics. DeepHawkes model combines the Hawkes model in the traditional methods with deep learning, which not only inherits the high interpretability of Hawkes model, but also contains the high prediction ability of deep learning. However, the DeepHawkes model ignores the effect of the text content of the information on the propagation. Therefore, on the basis of DeepHawkes model, this paper further considers the influence of the text content on the diffusion, and proposes a T-DeepHawkes model which merges a topic classification model into DeepHawkes model. The experimental result shows that T-DeepHawkes model has a better prediction accuracy.
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