Colorwall: An Embedded Temporal Display of Bibliographic Data

Abstract

A bibliographical data set is often visualized as a network to depict relationships among authors. However, static networks only display minimal information when a dataset accommodates temporal features. This paper proposes an embedded network visualization to present concealed temporal patterns in a data set and leverage multiple intelligent filters to reduce occlusion. We compare different graphing styles, such as feature representation and time direction, then determine the best approach for displaying temporal features. We demonstrate the usability of our approach with case studies and an evaluation of the IEEE InfoVis and VAST conference dataset.