报告题目：Visualising and Mining Networks
Networks are present in various areas of science and engineering. With increasing regularity,
social networks are becoming of importance where we model people and their relationships.
In this talk, I provide an introduction to social network analysis and visualisation.
Then, I present other application areas of network visualisation that may not be so obvious.
Throughout this presentation, I concentrate on visualisation methods or methods of visually
representing networks and their structure.
My name is Daniel Archambault, and I'm a Senior lecturer at Swansea University. I finished both my master thesis and doctoral thesis at the University of British Columbia in graph visualization and before that I did an undergraduate at Queen's University at Kingston.
My primary interests are in data and information visualization, perceptual issues in visualization, and visual data analytics and mining. More specifically, I study graph visualization techniques, systems, and their effectiveness. My Master's thesis was in computational geometry and dealt with determining the set of all distant horizons of a terrain. My doctoral work consisted of several techniques to help visualize large graphs. I've since taken on many projects that involve applying perception or data mining/analytics techniques to visualization problems.