Dynamic graph visualization focuses on the challenge of representing the evolution of
relationships between entities in readable, scalable and effective diagrams. This work …

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 propose a visual analytics approach for the exploration and analysis of dynamic
networks. We consider snapshots of the network as points in high-dimensional space and …

We introduce MultiPiles, a visualization to explore time‐series of dense, weighted networks.
MultiPiles is based on the physical analogy of piling adjacency matrices, each one …

The dynamic network visualization design space consists of two major dimensions: network
structural and temporal representation. As more techniques are developed and published, a …

We report on the state-of-the-art of software visualization. To ensure reproducibility, we
adopted the Systematic Literature Review methodology. That is, we analyzed 1440 entries …

Git metadata contains rich information for developers to understand the overall context of a
large software development project. Thus it can help new developers, managers, and testers …

We present the design and evaluation of HyperStorylines, a technique that generalizes
Storylines to visualize the evolution of relationships involving multiple types of entities such …

The scatterplot matrix (SPLOM) is a commonly used technique for visualizing multiclass
multivariate data. However, multiclass SPLOMs have issues with overdraw (overlap** …

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 …