Twitter User Geolocation Using a Unified Text and Network Prediction Model

Abstract

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-theart results, and demonstrate the effectiveness of the enhancements.