CasUGC: Aligning User-Generated Comment Evolution with Cascade Dynamics for Popularity Prediction
Accurately predicting the popularity of information cascades facilitates the development of social media network applications. During the cascade propagation process, user-generated comments continually evolve, thereby substantially affecting overall information popularity. However, existing methods