https://phaidra.ustp.at/o:4838 netflower: Dynamic Network Visualization for Data Journalists Stoiber, Christina Christina Stoiber St. Pölten University of Applied Sciences Rind, Alexander Alexander Rind St. Pölten University of Applied Sciences Grassinger, Florian Florian Grassinger St. Pölten University of Applied Sciences Gutounig, Robert Robert Gutounig FH Joanneum, University of Applied Sciences Goldgruber, Eva Eva Goldgruber FH Joanneum, University of Applied Sciences Sedlmair, Michael Michael Sedlmair University of Stuttgart Emrich, Štefan Štefan Emrich dwh - Simulation Services and Technical Solutions Aigner, Wolfgang Wolfgang Aigner St. Poelten University of Applied Sciences John Wiley & Sons Ltd. text eng 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/ CCS Concepts Human‐centered computing All rights reserved https://doi.org/10.1111/cgf.13721 Computer Graphics Forum 38(3), 699-711 (2019-07-10) Computer Graphics Forum 38 3 699 711 588.42 kB 2019-07-10