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    • 35-Issue 3
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    Visual Analysis of Governing Topological Structures in Excitable Network Dynamics

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    Date
    2016
    Author
    Ngo, Quynh Quang
    Hütt, Marc-Thorsten
    Linsen, Lars
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    Abstract
    To understand how topology shapes the dynamics in excitable networks is one of the fundamental problems in network science when applied to computational systems biology and neuroscience. Recent advances in the field discovered the influential role of two macroscopic topological structures, namely hubs and modules. We propose a visual analytics approach that allows for a systematic exploration of the role of those macroscopic topological structures on the dynamics in excitable networks. Dynamical patterns are discovered using the dynamical features of excitation ratio and co-activation. Our approach is based on the interactive analysis of the correlation of topological and dynamical features using coordinated views. We designed suitable visual encodings for both the topological and the dynamical features. A degree map and an adjacency matrix visualization allow for the interaction with hubs and modules, respectively. A barycentric-coordinates layout and a multi-dimensional scaling approach allow for the analysis of excitation ratio and co-activation, respectively. We demonstrate how the interplay of the visual encodings allows us to quickly reconstruct recent findings in the field within an interactive analysis and even discovered new patterns. We apply our approach to network models of commonly investigated topologies as well as to the structural networks representing the connectomes of different species. We evaluate our approach with domain experts in terms of its intuitiveness, expressiveness, and usefulness.
    BibTeX
    @article {10.1111:cgf.12906,
    journal = {Computer Graphics Forum},
    title = {{Visual Analysis of Governing Topological Structures in Excitable Network Dynamics}},
    author = {Ngo, Quynh Quang and Hütt, Marc-Thorsten and Linsen, Lars},
    year = {2016},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12906}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12906
    https://diglib.eg.org:443/handle/10
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    • 35-Issue 3
    • EuroVis16: Eurographics Conference on Visualization

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    Eurographics Association copyright © 2013 - 2020 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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