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dc.contributor.authorStoiber, Christinaen_US
dc.contributor.authorRind, Alexanderen_US
dc.contributor.authorGrassinger, Florianen_US
dc.contributor.authorGutounig, Roberten_US
dc.contributor.authorGoldgruber, Evaen_US
dc.contributor.authorSedlmair, Michaelen_US
dc.contributor.authorEmrich, Štefanen_US
dc.contributor.authorAigner, Wolfgangen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.description.abstractJournalists 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:
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcentered computing
dc.subjectVisualization design and evaluation methods
dc.titlenetflower: Dynamic Network Visualization for Data Journalistsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersGraphs and Networks

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  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

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