Description
Graphs are commonly visualized as static node-link diagrams, in which nodes are represented as (labeled) circles and edges as straight lines connecting them. However, networks' nodes can also contain various sources of uncertainty. Visualizing such attribute information is commonly done using primary visualization channels, such as node color, opacity, or size. However, this information could also be encoded using animation in order to (possibly) better guide viewers to regions of interest and/or certainty. In this project, you will develop and implement an animation-based network visualization approach to uncertainty and (possibly) evaluate its effectiveness on human participants.
Tasks
- Implement an animation-based visualization of uncertainty
- Implement a static visualization of uncertainty
- Evaluate differences between the two approaches
Requirements
- Knowledge of English language (source code comments and final report should be in English)
- Knowledge of Javascript and D3
- Interest or Knowledge in Graph Drawing
Environment
The project should be implemented as a standalone application, desktop or web-based (to be discussed).