  We describe a knowledge graph derived from Twitter data with the goal of
discovering relationships between people, links, and topics. The goal is to
filter out noise from Twitter and surface an inside-out view that relies on
high quality content. The generated graph contains many relationships where the
user can query and traverse the structure from different angles allowing the
development of new applications.
