The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
We describe a framework for managing network attack graph complexity through interactive visualization, which includes hierarchical aggregation of graph elements. Aggregation coll...
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
algorithms as networks of modules. The data flow architecture is popular because of the flexibility of mixing calculation modules with display modules, and because of its easy grap...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
We present a visual exploration of the field of human-computer interaction through the author and article metadata of four of its major conferences: the ACM conferences on Comput...
Nathalie Henry, Howard Goodell, Niklas Elmqvist, J...