Multivariate Networks
Sebastian Schöffel, Johannes W. Schwank, Jan Stärz, Achim Ebert · 2016
Providing insight in complex networks or graphs with multivariate data is one of the main challenges for visual analysis today. Much work has been done for visualizing information on nodes, but the space in between has mostly not been used yet. We present the current progress of our approach for using this free space to visualize additional information. We developed two techniques called Partially filled Bars and Bars of Varying Height. Both techniques enable presenting multiple attribute values on the edges of a network simultaneously. We briefly discuss first use cases for such interfaces as well as advantages and disadvantages of both techniques. For proof the concept, a preliminary evaluation has been performed. The results show, that both techniques are promising for many use cases.