Most real‐world networks are both dynamic and multivariate in nature, meaning that the
network is associated with various attributes and both the network structure and attributes …

Networks that evolve over time, or dynamic graphs, have been of interest to the areas of
information visualization and graph drawing for many years. Typically, the structure of the …

Temporal (Dynamic) multivariate networks consist of objects and relationships with a variety
of attributes, and the networks change over time. Exploring such kind of networks in …

Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Visualizing multivariate dynamic networks is a challenging task. The evolution of the
dynamic network within the temporal axis must be depicted in conjunction with the …

Most of the various network data which come from computer, communication and social
relationship application has the dynamic character. Compared with static network, dynamic …

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

We introduce an approach for the interactive visual analysis of weighted, dynamic networks.
These networks arise in areas such as computational neuroscience, sociology, and biology …

The concept of networks has been important in the study of complex systems. In networks,
links connect pairs of nodes forming complex structures. Studies have shown that networks …

Hierarchical abstraction is a scalable strategy to deal with large networks. Existing
visualization methods have allowed to aggregate the network nodes into hierarchies based …