Exploring InfoVis Publication History with Tulip

Abstract

We show the structure of the InfoVis publications dataset using Tulip, a scalable open-source visualization system for graphs and trees. Tulip supports interactive navigation and many options for layout. Subgraphs of the full dataset can be created interactively or using a wide set of algorithms based on graph theory and combinatorics, including several kinds of clustering. We found that convolution clustering and small world clustering were particularly effective at showing the structure of the InfoVis publications dataset, as was coloring by the Strahler metric.