netflower: Dynamic Network Visualization for Data Journalists

Authors. Christina Stoiber, Alexander Rind, Florian Grassinger, Robert Gutounig, Eva Goldgruber, Michael Sedlmair, Stefan Emrich, Wolfgang Aigner

Venue. CGF (2019)

Materials. DOI PDF

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/

@article{https://doi.org/10.1111/cgf.13721,
    title        = {netflower: Dynamic Network Visualization for Data Journalists},
    author       = {Stoiber, C. and Rind, A. and Grassinger, F. and Gutounig, R. and Goldgruber, E. and Sedlmair, M. and Emrich, \v{S}. and Aigner, W.},
    year         = {2019},
    journal      = {Computer Graphics Forum},
    volume       = {38},
    number       = {3},
    pages        = {699--711},
    doi          = {https://doi.org/10.1111/cgf.13721},
    url          = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13721},
    keywords     = {CCS Concepts, \textbullet{} Human-centered computing \rightarrow{} Visualization design and evaluation methods},
    eprint       = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13721},
    abstract     = {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/}
}