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Visualization of large hierarchical data by circle packing
Abstract
In this paper a novel approach is described for tree visualization using nested circles. The brother nodes at the same level are represented by externally tangent circles; the tree nodes at different levels are displayed by using 2D nested circles or 3D nested cylinders. A new layout algorithm for tree structure is described. It provides a good overview for large data sets. It is easy to see all the branches and leaves of the tree. The new method has been applied to the visualization of file systems.
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Cited by
Wen, T., Xie, P., Yang, S., Niu, G., Liu, X., Ding, Z., Xue, C., Liu, Y., Shen, Q., & Yuan, J. (2022) · iMeta · doi:10.1002/imt2.32 · Cited by 478
The student activity meter for awareness and self-reflection
Govaerts, S., Verbert, K., Duval, E., & Pardo, A. (2012) · CHI '12 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/2212776.2212860 · Cited by 193
Mapping the multiscale structure of biological systems
Schaffer, L. V., & Ideker, T. (2021) · Cell Systems · doi:10.1016/j.cels.2021.05.012 · Cited by 75
The topological properties of the protein universe
Madsen, C. D., Barbensi, A., Zhang, S. Y., Ham, L., David, A., Pires, D. E. V., & Stumpf, M. P. H. (2025) · Nature Communications · doi:10.1038/s41467-025-61108-2 · Cited by 7
Metadata
- Authors
- Wang, W., Wang, H., Dai, G., & Wang, H.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2006-04-22
- Pages
- 517-520
- OpenAlex
- W2056273964
- Cited by
- 172
- References
- 0
- FWCI
- 5.37
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Visualization of large hierarchical data by circle packing. https://app.cochat.ai/papers/10.1145/1124772.1124851
- The paper
- Wang, W., Wang, H., Dai, G., & Wang, H. (2006). Visualization of large hierarchical data by circle packing. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1124772.1124851
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
