From social networks to brain connectivity, ego networks are a simple yet powerful approach
to visualizing parts of a larger graph, ie those related to a selected focal node—the so-called …

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 …

Existing work on visualizing multivariate graphs is primarily concerned with representing the
attributes of nodes. Even though edges are the constitutive elements of networks, there have …

We study the complexity of testing whether a biconnected graph is planar with the additional
constraint that some cyclic orders of the edges incident to its vertices are allowed while …

Recent years have witnessed a rapid growth of recommender systems, providing
suggestions in numerous applications with potentially high social impact, such as health or …

Dynamic networks reflect temporal changes occurring to the graph's structure and are used
to model a wide variety of problems in many application fields. We investigate the design …

Bipartite networks are pervasive in modeling real-world phenomena and play a fundamental
role in graph theory. Interactive exploratory visualization of such networks is an important …

A network is a collection of entities, called nodes, that share connections with each other.
Networks can be used to model various concepts in our lives. For example, in the social …

As the digital age progresses, more and more data and information is produced. At the same
time, platforms and services have become increasingly more interconnected. Network …

In the current global landscape of the modern information age, there is a plethora of systems
of interconnected entities, represented as networks. Graphs serve as fundamental tools for …