Graph Storage and Analysis

An explosion of user-generated data from online social networks motivates analysis to extract deep insights from this data’s graph at scale, even of social, temporal, spatial, and topical connections. We are building systems to enable storage and analysis of such graphs that considers characteristics such as evolution over time when trending topics or social activities change. We also leverage graph computation techniques to accelerate traditional machine learning tasks.