41 citations · 92 across the 6 of their papers we have counts for
6 papers
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations
Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault +30
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs -- a series of ideas,…
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses
M. Chen, A. Abdul-Rahman, D. Archambault +18
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, an…
In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals
T. Baumgartl, M. Petzold, M. Wunderlich +10
Pathogen outbreaks (i.e., outbreaks of bacteria and viruses) in hospitals can cause high mortality rates and increase costs for hospitals significantly. An outbreak is generally no…
The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays
Alexandra Lee, Daniel Archambault, Miguel A. Nacenta
Dynamic networks can be challenging to analyze visually, especially if they span a large time range during which new nodes and edges can appear and disappear. Although it is straig…
Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD 2019)
Daniel Archambault, Csaba D. Tóth
This is the arXiv index for the electronic proceedings of GD 2019, which contains the peer-reviewed and revised accepted papers with an optional appendix. Proceedings (without appe…
Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity
Yong Wang, Daniel Archambault, Hammad Haleem +3
Uniform timeslicing of dynamic graphs has been used due to its convenience and uniformity across the time dimension. However, uniform timeslicing does not take the data set into ac…