o:4838 netflower: Dynamic Network Visualization for Data Journalists en 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: {link}http://netflower.fhstp.ac.at/{/link} CCS Concepts Human‐centered computing 1552099 https://doi.org/10.1111/cgf.13721 1552102 https://onlinelibrary.wiley.com/doi/10.1111/cgf.13721 2022-05-30T07:30:18.069Z 44 yes 46 Christina Stoiber St. Pölten University of Applied Sciences Alexander Rind St. Pölten University of Applied Sciences person Florian Grassinger St. Pölten University of Applied Sciences person Robert Gutounig FH Joanneum, University of Applied Sciences person Eva Goldgruber FH Joanneum, University of Applied Sciences person Michael Sedlmair University of Stuttgart person Štefan Emrich dwh - Simulation Services and Technical Solutions person Wolfgang Aigner St. Poelten University of Applied Sciences person application/pdf 602540 https://phaidra.fhstp.ac.at/o:4838 no yes 1 © 2019 The Author(s) Computer Graphics Forum © 2019 The Eurographics Association and John Wiley & Sons Ltd. 70 Computer Graphics Forum 38 3 699 711 John Wiley & Sons Ltd. 2019-07-10