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    netflower: Dynamic Network Visualization for Data Journalists

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    Date
    2019
    Author
    Stoiber, Christina ORCID
    Rind, Alexander ORCID
    Grassinger, Florian ORCID
    Gutounig, Robert ORCID
    Goldgruber, Eva ORCID
    Sedlmair, Michael ORCID
    Emrich, Štefan ORCID
    Aigner, Wolfgang ORCID
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    Abstract
    Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four-year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network data for story-finding. The visual metaphor is based on Sankey diagrams and has been extended to make it capable of processing large amounts of input data as well as network change over time. We followed a structured, iterative design process including requirement analysis and multiple design and prototyping iterations in close cooperation with journalists. To validate our concept and prototype, a workshop series and two diary studies were conducted with journalists. Our findings indicate that the prototype can be picked up quickly by journalists and valuable insights can be achieved in a few hours. The prototype can be accessed at: http://netflower.fhstp.ac.at/
    BibTeX
    @article {10.1111:cgf.13721,
    journal = {Computer Graphics Forum},
    title = {{netflower: Dynamic Network Visualization for Data Journalists}},
    author = {Stoiber, Christina and Rind, Alexander and Grassinger, Florian and Gutounig, Robert and Goldgruber, Eva and Sedlmair, Michael and Emrich, Štefan and Aigner, Wolfgang},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13721}
    }
    URI
    https://doi.org/10.1111/cgf.13721
    https://diglib.eg.org:443/handle/10.1111/cgf13721
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    • 38-Issue 3

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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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