LifeFlow: visualizing an overview of event sequences

By K. Wongsuphasawat, John Alexis Guerra-Gomez, Catherine Plaisant, T. Wang, Meirav Taieb-Maimon, Ben Shneiderman. International Conference on Human Factors in Computing Systems, 2011

355 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Geography, Planning and Development

View Paper: https://www.semanticscholar.org/paper/755b1d77b7e1436dce7fafeb17e3e7c4f1fa38aa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shixia Liu
2. Yingcai Wu
3. Mengchen Liu
4. Weiwei Cui
5. Xiting Wang
6. Neil T. Spring
7. Jian Pei
8. Liu Ren

In Computer Vision and Pattern Recognition

1. Shixia Liu
2. Mengchen Liu
3. Yingcai Wu
4. Weiwei Cui
5. Ben Shneiderman
6. Catherine Plaisant
7. Xiting Wang
8. Neil T. Spring

In Geography, Planning and Development

1. Yingcai Wu
2. Shixia Liu

Citations in the corpus

• How Hierarchical Topics Evolve in Large Text Corpora (2014, background): “LifeFlow [39] and Outflow [38] facilitate the exploration of temporal event sequences.”
• StoryFlow: Tracking the Evolution of Stories (2013, methodology): “LifeFlow [46] and Outflow [45] merged multiple event sequences into a tree and a graph, respectively, to provide an abstraction of the data and enable more scalable timeline visualizations.”
• Online Visual Analytics of Text Streams (2015, background): “LifeFlow [40] and Out-flow [39] help users explore temporal event sequences.”
• Sequence Synopsis: Optimize Visual Summary of Temporal Event Data (2018, methodology): “With the growing importance of event sequence analysis, a variety of visualization techniques have been proposed in the past years [5, 8, 9, 15, 23, 29, 33, 36, 41, 43, 52, 54, 55, 57, 60].”
• EventAction (2019, methodology): “Unlike many other event sequence visualization tools [24, 50, 82, 83], the analytical workflow of EventAction is oriented by a seed record.”
• Temporal Event Sequence Simplification (2013, background): “Index Terms—Event sequences, simplification, electronic heath records, temporal query.”