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Graph visualization and navigation in information visualization: A survey
Abstract
This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as Web browsing, state-transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application. Information visualization has specific requirements, which means that this survey approaches the results of traditional graph drawing from a different perspective.
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Citations
Cited by
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Goyal, P., & Ferrara, E. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.03.022 · Cited by 1,801
Comorbidity: a network perspective
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09991567 · Cited by 1,575
Cui, P., Wang, X., Pei, J., & Zhu, W. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2018.2849727 · Cited by 1,274
Network Representation Learning: A Survey
Zhang, D., Yin, J., Zhu, X., & Zhang, C. (2020) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2018.2850013 · Cited by 714
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies
Gharaibeh, A., Salahuddin, M. A., Hussini, S. J., Khreishah, A., Khalil, I., Guizani, M., & Al-Fuqaha, A. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2736886 · Cited by 628
Metadata
- Authors
- Herman, I., Melancon, G., & Marshall, M. S.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2000
- Volume
- 6
- Issue
- 1
- Pages
- 24-43
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2147468287
- Cited by
- 1,538
- References
- 0
- FWCI
- 41.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Herman, I., Melancon, G., & Marshall, M. S. (2000). Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/2945.841119
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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.
