  We propose a label propagation approach to geolocation prediction based on
Modified Adsorption, with two enhancements:(1) the removal of "celebrity" nodes
to increase location homophily and boost tractability, and (2) he incorporation
of text-based geolocation priors for test users. Experiments over three Twitter
benchmark datasets achieve state-of-the-art results, and demonstrate the
effectiveness of the enhancements.
