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

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

We present time-aligned edge plots: time-and edge-scalable representations of dynamic
graphs. Vertices are mapped to two vertical parallel axes. The left axis depicts the source …

Network visualisation techniques are important tools for the exploratory analysis of complex
systems. While these methods are regularly applied to visualise data on complex networks …

Dynamic graph visualization attracts researchers' concentration as it represents time-varying
relationships between entities in multiple domains (eg, social media analysis, academic …

Presenting long sequences of dynamic graphs remains challenging due to the underlying
large-scale and high-dimensional data. We propose dg2pix, a novel pixel-based …

Visualizing large, multiply-attributed, and time-dependent graphs is one of the grand
challenges of information visualization. In recent years, image-based techniques have …

A temporal graph stores and reflects temporal information associated with its entities and
relationships. Such graphs can be utilized to model a broad variety of problems in a …

Graph visualization is an important field in information visualization that is centered on the
graphical display of graph-structured data. Yet real world data is rarely just graph-structured …

The visualization of dynamic graphs demands visually encoding at least three major data
dimensions: vertices, edges, and time steps. Many of the state‐of‐the‐art techniques can …