ThemeRiver: visualizing theme changes over time

By Susan L. Havre, Elizabeth G. Hetzler, Lucy T. Nowell. IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings, 2000

510 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Literature and Literary Theory

View Paper: https://www.semanticscholar.org/paper/efc273dec9d03d969e57fa9dd8023edf05e6094a

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In Computer Vision and Pattern Recognition

In Literature and Literary Theory

Jure Leskovec

Citations in the corpus

Visualizing time-series on spirals (2001, background): “ThemeRiver [ 6 ][7], for instance, uses line width in contrast to simple y position for visualizing temporal data to utilize the metaphor of a river.”
Detecting concept drift in data streams using model explanation (2018, background): “For example, steamgraph utilizes colored bands to represent concurrent categories with their width signifying the importance of each category (Havre et al., 2000).”
Meme-tracking and the dynamics of the news cycle (2009, background): “[16]) in which the thickness of each strand corresponds to the volume of the corresponding thread over time, with the total area equal to the total volume.”
Predicting the Speed, Scale, and Range of Information Diffusion in Twitter (2010, background): “In terms of information diffusion, the efforts include but are not limited to: identification of topics over time (Gabrilovich, et al., 2004; Havre, et al., 2000), tracking topic flows (Adar & Adamic, 2005; Adar, et al., 2004; Leskovec, et al., 2009), and modeling the dynamics of adoption cascades…”
An Efficient Framework for Generating Storyline Visualizations from Streaming Data (2015, unknown): “In summary, this experiment demonstrates our framework’s excellent capability to create legible storyline visualizations.”
Visual Methods for Analyzing Time-Oriented Data (2008, methodology): “Visualization of a climate data set using a ThemeRiver [32] approach.”
D³ Data-Driven Documents (2011, unknown): “The stack layout computes the y 0 baseline for stacked graphs [11, 4], while the squariﬁed treemap layout [31, 3] computes another spatial partition well-suited for animation (see § 5.1).”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, methodology): “A ThemeRiver layout is used to visualize the temporal variation of each segment and the total variation of all the segments.”