Abstract
Social media analysis is important to understand people behavior. Human behavior in social media is often related to time and location, which is often difficult to understand the characteristics appropriately and quickly. We chose to visualize the date applying a virtual reality technology, which makes us easier to explore the data interactively and intuitively. This poster presents our visualization with tweets of microblogs with location information. Our system includes a three-dimensional temporal visualization which consists of the two-dimensional map and a time axis. In particular, we aggregate the number of tweets of each coordinate, calculate scores and display them as piled cubes. We highlight only specific cubes so that users can understand the overall tendency of datasets. We also developed user interfaces for operating these cubes and panels which indicate details of tweets.
