Networks are abstract and ubiquitous data structures, defined as a set of data points and
relationships between them. Network visualization provides meaningful representations of …

This paper presents a novel approach, called MALDIVE, to support tax administrations in the
tax risk assessment for discovering tax evasion and tax avoidance. MALDIVE relies on a …

Biological networks describe complex relationships in biological systems, which represent
biological entities as vertices and their underlying connectivity as edges. Ideally, for a …

Computational evaluations and benchmarks are widely used for validating graph and
network layout algorithms (aka graph drawing). These evaluations can provide the reader …

Many real-world networks are globally sparse but locally dense. Typical examples are social
networks, biological networks, and information networks. This double structural nature …

Hybrid visualizations combine different metaphors into a single network layout, in order to
help humans in finding the “right way” of displaying the different portions of the network …

One main challenge for simplifying node-link diagrams of large-scale social networks lies in
that simplified graphs generally contain dense subgroups or cohesive subgraphs. Graph …

Visualizing small‐world networks such as protein‐protein interaction networks or social
networks often leads to visual clutter and limited interpretability. To overcome these …

We study the complexity of testing whether a biconnected graph G=(V, E) is planar with the
constraint that some cyclic orders of the edges incident to its vertices are allowed while …

Hybrid visualizations mix different metaphors in a single layout of a network. In particular, the
popular NodeTrix model, introduced by Henry, Fekete, and McGuffin in 2007, combines …