Multivariate Networks: A Novel Edge Visualization Approach for Graph-based
Visual Analysis TasksLate-Breaking Works: Interaction in Specific Domains
/ Schöffel, Sebastian
/ Schwank, Johannes
/ Stärz, Jan
/ Ebert, AchimExtended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems2016-05-07v.2p.2292-2298
Summary: 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.