Jan Stärz

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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(More)
In this demo we present BREF, a lightweight BRowser-based Evaluation Framework for easily conducting large-scale visualization-based evaluations of interaction tasks running in web browsers. BREF offers great flexibility to create, manage, and analyze single or multiple evaluations. Built-in assistants simplify and reduce the management workload for a large(More)
In this paper, we discuss and evaluate the handling of uncertainty in visual network analysis, i.e. the uncertainty of edge attributes. This can be useful to answer a question like ”How reliable is a flow rate value on a specific edge/pipeline?”. For investigating the most suitable and most intuitive representation of uncertain edge attributes(More)
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