Multivariate Network Visualization: Dagstuhl Seminar #13201, by Andreas Kerren, Helen Purchase, Matthew O. Ward

By Andreas Kerren, Helen Purchase, Matthew O. Ward

This e-book is the end result of the Dagstuhl Seminar 13201 on details Visualization - in the direction of Multivariate community Visualization, held in Dagstuhl fort, Germany in may perhaps 2013. The aim of this Dagstuhl Seminar was once to compile theoreticians and practitioners from details Visualization, HCI and Graph Drawing with a different specialize in multivariate community visualization, i.e., on graphs the place the nodes and/or edges have extra (multidimensional) attributes. the mixing of multivariate information into advanced networks and their visible research is among the vast demanding situations not just in visualization, but in addition in lots of program components. hence, so one can aid discussions with regards to the visualization of actual global info, additionally invited researchers from chosen software components, particularly bioinformatics, social sciences and software program engineering. the original "Dagstuhl weather" ensured an open and undisturbed surroundings to debate the cutting-edge, new instructions and open demanding situations of multivariate community visualization.

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Extra resources for Multivariate Network Visualization: Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions

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When applied to a graph’s clustering hierarchy, each node in the graph is a leaf in the hierarchy, and can thus be placed in the corresponding region to define the layout. In the space-filling curve layout, the nodes are ordered in 1 dimension, and then mapped to the screen using a recursively defined fractal curve, such as the well known Hilbert or Gosper curves. Any such clustering-based layout can provide clear boundaries between communities—particularly when combined with edge bundling techniques.

5 are not unique to software engineering. They arise also in other application areas, most notably biology, chemistry, and bioinformatics. As such, relevant questions are: What is specific to the software understanding domain, which underlies the evolution of software visualization as a discipline separated from biological visualization (BioVis) or, more generally, information visualization (InfoVis)? 20 2 Multivariate Networks in Software Engineering BioVis: Comparing our software graphs to networks in the BioVis domain, we notice several similarities: In both domains, large graphs (hundreds of thousands of entities, relations, and attributes or more) are common in realworld use-cases.

Visualization of call graph change across multiple software versions Here, associations are function calls. For each revision, a HEB layout is built using the associations in that revision and, as structure, the union of all entities from the n revisions. This guarantees that the radial icicle plot stays fixed for all views. Next, a continuous animation is created by smoothly interpolating corresponding edges in consecutive revisions. In parallel, appearing edges are interpolated towards their bundle, and faded in using blending, while disappearing edges are interpolated away (unbundled) and faded out.

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