Our contributions are as follows: (1) we propose the use of Modified Adsorption (Talukdar and Crammer, 2009) as a baseline networkbased geolocation model, and show that it outperforms previous network-based approaches (Jurgens, 2013;<cite> Rahimi et al., 2015)</cite> ; (2) we demonstrate that removing "celebrity" nodes (nodes with high in-degrees) from the network increases geolocation accuracy and dramatically decreases network edge size; and (3) we integrate textbased geolocation priors into Modified Adsorption, and show that our unified geolocation model outperforms both text-only and network-only approaches, and achieves state-of-the-art results over three standard datasets.