Complex animated transitions may be easier to understand when divided into separate,
consecutive stages. However, effective staging requires careful attention to both animation …

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

Temporal (or time-evolving) networks are commonly used to model complex systems and
the evolution of their components throughout time. Although these networks can be …

Partitioning a dynamic network into subsets (ie, snapshots) based on disjoint time intervals
is a widely used technique for understanding how structural patterns of the network evolve …

Visual analysis has been increasingly integrated into the exploration of temporal networks,
as visualization methods have the capability to present time-varying attributes and …

Ego-network, which can describe relationships between a focus node (ie, ego) and its
neighbor nodes (ie, alters), often changes over time. Exploring dynamic ego-networks can …

Existing dynamic weighted graph visualization approaches rely on users' mental
comparison to perceive temporal evolution of dynamic weighted graphs, hindering users …

Egocentric citation network visualization focuses on the citation relationship around a
specific node, which can help gain insights into citation patterns clearly. Previous techniques …

Animated bar charts have gained popularity on the Internet for their ability to display
historical rankings through smooth animated transitions that clearly show the rankings over …

Dynamic networks represent the complex and evolving interrelationships between real-
world entities. Given the scale and variability of these networks, finding an optimal slicing …