User embeddings We obtain low-dimensional Twitter author embeddings E (u) using LINE -the recently proposed model for embedding information networks (Tang et al., 2015).
we train LINE with the second-order proximity, which assumes that Twitter users sharing many neighbors are close to each other in the embedding space.