Visualization of citation networks for large science portals

We examine a number of methods for probing and understanding a large-scale structure of networks that evolve over time. In particular, we focus on citation networks, networks of references between documents such as research papers. We describe three different methods of visualization: the first is based on a hierarchical edge bundles algorithm, the second implements dynamic layered drawing, and the third utilizes a geometry-based edge bundling. Using the datasets of Linked Open Data portals, we generate citation networks and demonstrate how each of these methods can reveal significant features of the considered networks.