Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
In this paper, we present our research result that enables users to navigate a very large social network and to take a look at information flows on the network. To this end, we d...
Shin Gyu Kim, Hyuck Han, Kyungho Jeon, Hyungsoo Ju...
The evolution of dependencies in information hierarchies can be modeled by sequences of compound digraphs with edge weights. In this paper we present a novel approach to visualize...
In this paper we present an initial study of computer supported collaboration between visually impaired users based around the interactive browsing and manipulation of simple grap...
Abstract. The Semantic Web has recently seen a rise of large knowledge bases (such as DBpedia) that are freely accessible via SPARQL endpoints. The structured representation of the...
Philipp Heim, Sebastian Hellmann, Jens Lehmann, St...