Dynamic network visualization has been a challenging research topic due to the visual and
computational complexity introduced by the extra time dimension. Existing solutions are …

The dynamic network visualization has been a challenging topic due to the complexity
introduced by the extra time dimension. Existing solutions to this problem are usually good …

Event-based egocentric dynamic networks are an important class of networks widely seen in
many domains. In this paper, we present a visual analytics approach for these networks by …

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 …

The analysis of large dynamic networks poses a challenge in many fields, ranging from
large bot-nets to social networks. As dynamic networks exhibit different characteristics, eg …

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 …

Dynamic networks can be challenging to analyze visually, especially if they span a large
time range during which new nodes and edges can appear and disappear. Although it is …

Identifying, tracking and understanding changes in dynamic networks are complex and
cognitively demanding tasks. We present GraphDiaries, a visual interface designed to …

Large dynamic networks are targets of analysis in many fields. Tracking temporal changes at
scale in these networks is challenging due in part to the fact that small changes can be …

Temporal networks have been used to map the structural evolution of social, technological,
and biological systems, among others. Due to the large amount of information on real-world …