Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization

13 Nov 2014Linhong ZhuDong GuoJunming YinGreg Ver SteegAram Galstyan

We propose a scalable 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 form between similar users in the latent space representation... (read more)

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