Event sequence analysis is an important task in many domains: medical researchers may
study the patterns of transfers within the hospital for quality control; transportation experts …

Time is an exceptional dimension with high relevance in medicine, engineering, business,
science, biography, history, planning, or project management. Understanding time-oriented …

The analysis of large graphs plays a prominent role in various fields of research and is
relevant in many important application areas. Effective visual analysis of graphs requires …

While graph drawing focuses more on the aesthetic representation of node-link diagrams,
graph visualization takes into account other visual metaphors making them useful for graph …

Storyline visualizations, which are useful in many applications, aim to illustrate the dynamic
relationships between entities in a story. However, the growing complexity and scalability of …

Event sequence data is common in many domains, ranging from electronic medical records
(EMRs) to sports events. Moreover, such sequences often result in measurable outcomes …

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 …

Temporal event sequence data is increasingly commonplace, with applications ranging from
electronic medical records to financial transactions to social media activity. Previously …

Extracting insights from temporal event sequences is an important challenge. In particular,
mining frequent patterns from event sequences is a desired capability for many domains …

Node-link diagrams are an effective and popular visualization approach for depicting
hierarchical structures and for showing parent-child relationships. In this paper, we present …