Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
We propose a temporal latent space model for link prediction in dynamic social networks, where the goal is to predict links over time based on a sequence of previous graph snapshots. The model assumes that each user lies in an unobserved latent space, and interactions are more likely to occur …