Visualizing dynamic graphs with heat triangles
2020
In this paper an overview-based interactive visualization for temporally long dynamic graph sequences is described. To reach this goal, each graph can be mapped to a certain value based on a given property. Among others, a property can be number of vertices, number of edges, average degree, density, number of self-loops, degree (maximum and total), or edge weight (minimum, maximum, and total). To achieve an overview over time, an aggregation strategy based on either the mean, minimum, or maximum of two values is applied. This temporal value aggregation generates a triangular shape with an overview of the entire graph sequence as the peak. The color coding can be adjusted, forming visual patterns that can be rapidly explored for certain data features over time, supporting comparison tasks between the properties. The usefulness of the approach is illustrated by means of applying it to dynamic graphs generated from US domestic flight data.
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