Encoding Presentation Emphasis Algorithms for Graphs

While graphs can effectively visualize one or more relations on a set of elements, drawings of large graphs can be difficult to understand. As such, many presentation emphasis techniques for visualizing graphs such as fisheye views have been proposed. A recent survey paper [9] described an abstract space of techniques and identified common shortcomings. Here we outline a highlevel language that addresses several of these limitations; the language is used to: 1) select subsets of graph elements; 2) compute a real-valued priority for each element; and, 3) encode presentation strategies that automatically emphasize elements based on subset membership and priority.