Title
netflower: Dynamic Network Visualization for Data Journalists.
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/
Year
DOI
Venue
2019
10.1111/cgf.13721
COMPUTER GRAPHICS FORUM
Field
DocType
Volume
Dynamic network analysis,Computer science,Visualization,Theoretical computer science,Human–computer interaction
Journal
38.0
Issue
ISSN
Citations 
3.0
0167-7055
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Christina Stoiber100.68
Alexander Rind218714.75
Florian Grassinger361.11
Robert Gutounig400.34
Eva Goldgruber500.68
Michael Sedlmair691551.74
Stefan Emrich700.34
wolfgang aigner884251.72