The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ThemeRiver: visualizing thematic changes in large document collections
Abstract
The ThemeRiver visualization depicts thematic variations over time within a large collection of documents. The thematic changes are shown in the context of a time-line and corresponding external events. The focus on temporal thematic change within a context framework allows a user to discern patterns that suggest relationships or trends. For example, the sudden change of thematic strength following an external event may indicate a causal relationship. Such patterns are not readily accessible in other visualizations of the data. We use a river metaphor to convey several key notions. The document collection's time-line, selected thematic content and thematic strength are indicated by the river's directed flow, composition and changing width, respectively. The directed flow from left to right is interpreted as movement through time and the horizontal distance between two points on the river defines a time interval. At any point in time, the vertical distance, or width, of the river indicates the collective strength of the selected themes. Colored "currents" flowing within the river represent individual themes. A current's vertical width narrows or broadens to indicate decreases or increases in the strength of the individual theme.
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Cites
Spline Models for Observational Data
Wahba, G. (1990) · doi:10.1137/1.9781611970128 · Cited by 4,184
Cited by
Searching for intellectual turning points: progressive knowledge domain visualization
Chen, C. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307513100 · Cited by 2,791
Protovis: A Graphical Toolkit for Visualization
Bostock, M., & Heer, J. (2009) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.174 · Cited by 321
Feature-Based Visual Sentiment Analysis of Text Document Streams
Rohrdantz, C., Hao, M. C., Dayal, U., Haug, L.-E., & Keim, D. A. (2012) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2089094.2089102 · Cited by 43
Metadata
- Authors
- Havre, S., Hetzler, E., Whitney, P., & Nowell, L.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2002
- Volume
- 8
- Issue
- 1
- Pages
- 9-20
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2106738877
- Cited by
- 672
- References
- 1
- FWCI
- 16.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Havre, S., Hetzler, E., Whitney, P., & Nowell, L. (2002). ThemeRiver: visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/2945.981848
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.