Visualization of temporary networks via interactions with the space-time cube (RS151)
The use of dynamic data sets, where each component of the data has a unique timestamp, has increased. It is now possible to visualize dynamic graphs in an event-based manner by using algorithms for sketching temporal networks inside the space-time cube (2D + t). The navigation of three-dimensional images of non-spatial information is difficult. In to fully understand the graph structure and how it changes over time, interactive systems are required.
The student will investigate into how to divide and visualize the space-time cube perceptually effective ways. This space-time cube’s contents will first be seen using an embedded network created using an event-based dynamic graph drawing technique. In this instance, the visualization techniques will be used to visualize the drawing’s existing structure, which concurrently accounts for space and time. Then, we’ll look into techniques for drawing the dynamic graph on demand in the user-steered space-time cube.
Candidates typically need to have a 2.1 level undergraduate degree in computer science, mathematics, or a closely related field, or a master’s degree in the relevant field with a minimum overall GPA of “Merit” (or Non-UK equivalent as defined by Swansea University).
English Language Requirements: If eligible, you must have an overall IELTS score of 6.5 (with no individual component scoring lower than 6.0) or a Swansea recognized equivalent.
Any applicant can apply for this scholarship, regardless of nationality. Please be aware that all UKRI-funded scholarships have an international quota. Please be aware that you might no longer be eligible for this scholarship if the quota has been met by the deadline.
This scholarship covers all tuition fees as well as an annual stipend of £16,062.
Additional research funds will also be made available.
How To Apply
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