EuroVisPosters2020

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https://diglib.eg.org/handle/10.2312/2632898

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Browsing EuroVisPosters2020 by Subject "Information systems"

Now showing 1 - 2 of 2
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    Designing Effective Network Visualization Representations of Disinformation Operations - Improving DisInfoVis
    (The Eurographics Association, 2020) Pavliuc, Alexandra Melania; Dykes, Jason; Byška, Jan and Jänicke, Stefan
    Practitioners working to understand, combat, and inform the public about disinformation operations need tools to analyse these complex social phenomena, and communicate their findings to stakeholders. Temporal network visualization presents a means of analysing and communicating this dynamic socio-technical phenomenon, but comes with visualization design challenges that can be addressed through judicious iterative design and empirical evaluation. We present a path towards tailoring temporal network visualizations for DisInfoVis through qualitative evaluation, and outline a design for representing disinformation operations in social media networks informed by this process and used in public communication.
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    Evaluation of Mesh Compression and GPU Ray Casting for Tree Based AMR data in VTK
    (The Eurographics Association, 2020) Roche, Antoine; Dubois, Jérôme; Byška, Jan and Jänicke, Stefan
    Adaptive Mesh Refinement (AMR) methods are common in scientific workloads, and very useful during analyses and visualization. In this work, we aim to reduce memory and storage footprint of AMR data. We adapt tree compression (SVDAG) and GPU Ray Cast rendering, created for Computer Graphics surface scenes, for volume data from Scientific Visualization workloads. In particular, experiments have been conducted with the native Tree-Based AMR (TB-AMR) data structure in the Visualization ToolKit (VTK): vtkHyperTreeGrid (HTG). A HTG to SVDAG online converter has been implemented as well as a multi-SVDAG extension. Results showed several orders of magnitude memory footprint reduction thanks to the compression and efficient Ray Cast rendering. Furthermore, serialization to SVDAG enabled almost instant loading and display of simulation data instead of minutes. Overall our experiments show great benefits, and this shows great promises to further improve TB-AMR analyses.