Date Added: Jan 2010
When making decisions, it is often critical to understand the trends and relationships in the task-related information. Complicating matters is the time-varying nature of this information. Specifically, topics gain or lose prominence over time and relationships within the data grow, fade, or disappear altogether. This paper presents a novel visualization to help people address this information evolution. The technique categorizes information into topics, which are visualized in a two-dimensional stream graph. As a topic waxes or wanes in importance, the associated stream in the graph gains or loses thickness. Further, the vertical distances between streams changes to indicate the strength of the relationship between the topics. The paper provides an interface which leverages multiple views to help users quickly switch between multiples data sets.