Prioritizing Nodes in Hierarchical Visualizations with the Tree Cut Model

We report on the development of a novel technique to select relevant nodes for presentation in hierarchical visualizations. It adapts the Tree Cut Model to the problem of determining the uneven deepest relevant level in a hierarchy, using it as a criterion for filtering data items. In a case study using Docuburst, we demonstrate how this technique can help creating better overviews of data by reducing visual clutter while highlighting relevant data.