A research group at CWI focuses on cases where graphs form the fundamental structural data representation. The system is freely available for research purposes.
Graph visualization has many areas of application.
Systems which can be represented as graphs include hierarchies of files, taxonomies of species, Web site maps, evolutionary trees, and genetic maps. As the information is not always purely hierarchical, more general graphs than trees need to be studied. A key issue when visualising graphs in information visualization is the size of the data. Many applications require analysis of graphs with several thousand nodes and edges. Large graphs pose several difficult problems.