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Everyday application: disk analyzers such as SequoiaView.
Hot topics:
Two uses of visualization:
Survey paper: Oliveira, Levkowitz, "From Visual Data Exploration
to Visual Data Mining: A Survey", IEEE Transactions on Visualization and
Computer Graphics 9(3), pp. 378-394 (2003). Freely available from SUUB
from PCs inside the network of Bremen's universities. (Note the submission
date and the printing date; such a time span is typical.)
Types of data:
Classical visualization techniques: Keim, "Visual Techniques for
Exploring
Databases"
Visualization can be modeled as a pipelined process: Chi, Riedl, "An
Operator Interaction Framework
for Visualization Systems"
Visualization in networking is mostly concerned with drawing graphs nicely, that is: in a visually effective and efficient manner ("graph layout").
We may not always use straight lines: Hyperbolic trees use non-Euclidean geometry to zoom in on a region of interest. There are many more ways of nonlinear magnification.
Typical way of layout: Define a physical "energy" to create repelling and attracting spring forces that push the graph nodes to a nice configuration.