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) the 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.