The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Jigsaw: Supporting Investigative Analysis through Interactive Visualization
Abstract
Investigative analysts who work with collections of text documents connect embedded threads of evidence in order to formulate hypotheses about plans and activities of potential interest. As the number of documents and the corresponding number of concepts and entities within the documents grow larger, sense-making processes become more and more difficult for the analysts. We have developed a visual analytic system called Jigsaw that represents documents and their entities visually in order to help analysts examine them more efficiently and develop theories about potential actions more quickly. Jigsaw provides multiple coordinated views of document entities with a special emphasis on visually illustrating connections between entities across the different documents.
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Cites
Readings in Information Visualization: Using Vision to Think
Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999) · Cited by 3,935
Things That Make Us Smart: Defending Human Attributes in the Age of the Machine
Robinson, R., & Norman, D. (1994) · Design Issues · doi:10.2307/1511661 · Cited by 1,528
Psychology Intelligence Analysis
Heuer, R. J. (1999) · Cited by 1,064
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
Yi, J. S., Kang, Y. A., Stasko, J., & Jacko, J. A. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70515 · Cited by 1,031
Self-citationVisual information seeking: tight coupling of dynamic query filters with starfield displays
Ahlberg, C., & Shneiderman, B. (1994) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/191666.191775 · Cited by 824
Making Sense of Sensemaking 1: Alternative Perspectives
Klein, G., Moon, B., & Hoffman, R. R. (2006) · IEEE Intelligent Systems · doi:10.1109/mis.2006.75 · Cited by 818
The cost structure of sensemaking
Russell, D. M., Stefik, M. J., Pirolli, P., & Card, S. K. (1993) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93 · doi:10.1145/169059.169209 · Cited by 726
Visualizing the non-visual: spatial analysis and interaction with information from text documents
Wise, J. A., Thomas, J. J., Pennock, K. A., Lantrip, D. B., Pottier, M., Schur, A., & Crow, V. L. (2002) · Visualization · doi:10.1109/infvis.1995.528686 · Cited by 629
Natural Language Processing for Online Applications: Text retrieval, extraction and categorization
Jackson, P., & Moulinier, I. (2002) · Natural Language Processing · doi:10.1075/nlp.5(1st · Cited by 297
Criminal network analysis and visualization
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Cited by
Science Mapping: A Systematic Review of the Literature
Chen, C. (2017) · Journal of Data and Information Science · doi:10.1515/jdis-2017-0006 · Cited by 1,925
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models
Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., Nickerson, J. V., & Chilton, L. B. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580907 · Cited by 98
Supporting Complex Decision Making Through Option Awareness
Pfaff, M. S., Klein, G. L., Drury, J. L., Moon, S. P., Liu, Y., & Entezari, S. O. (2013) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343412455799 · Cited by 62
Lamy, J.-B., Berthelot, H., Capron, C., & Favre, M. (2017) · Journal of Visual Languages & Computing · doi:10.1016/j.jvlc.2017.09.003 · Cited by 24
Metadata
- Authors
- Stasko, J., Görg, C., & Liu, Z.
- Venue
- Information Visualization
- Publisher
- SAGE Publications
- Published
- 2008-01-22
- Volume
- 7
- Issue
- 2
- Pages
- 118-132
- ISSN
- 1473-8716 (ISSN-L)
- 1473-8724
- OpenAlex
- W4248481136
- Cited by
- 280
- References
- 19
- FWCI
- 22.91
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
