Large in Time Dynamic Graph Visualisation

博士项目研究如何以可扩展到长时间序列的方式可视化动态信息。许多相关的工作都集中在可视化图形/网络的方式，所得到的可视化是可扩展的节点和边缘的数量。然而，具有大量时间片的动态图带来了独特的可视化挑战。我们还研究了网络之外的其他形式的数据，这些数据具有很长的时间序列，可以从这种方法中受益。除了创建新颖的可视化方法外，我们还在寻找将这些可视化放在大型显示器上的方法。大型显示器的优势在于有更多的像素可以同时将多个时间点的数据放置在屏幕上，以实现有效的可视化。该项目属于图形和可视化领域。

The PhD project investigates how to visualise dynamic information in a way that is scalable to long time series. Much of related work has focused on visualising graphs/networks in a way that the resultant visualisations are scalable in terms of the number of nodes and edges. However, a dynamic graph with a large number of timeslices poses unique visualisation challenges. We also look at other forms of data, beyond networks, that have long time series that could benefit from this approach.In addition to creating novel visualisation methods, we are looking at ways for placing these visualisations on large displays. Large displays have the advantage that there are more pixels to place the data at multiple points in time on the screen simultaneously for effective visualisation.The project is in the area of Graphics and Visualisation.