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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abello, J. van Ham, F. |
| Copyright Year | 2004 |
| Description | Author affiliation: DIMACS, Rutgers Univ., Piscataway, NJ (Abello, J.) |
| Abstract | In Web data, telecommunications traffic and in epidemiological studies, dense subgraphs correspond to subsets of subjects (i.e. users, patients) that share a collection of attributes values (i.e. accessed Web pages, email-calling patterns or disease diagnostic profiles). Visual and computational identification of these "clusters" becomes useful when domain experts desire to determine those factors of major influence in the formation of access and communication clusters or in the detection and contention of disease spread. With the current increases in graphic hardware capabilities and RAM sizes, it is more useful to relate graph sizes to the available screen real estate S and the amount of available RAM M, instead of the number of edges or nodes in the graph. We offer a visual interface that is parameterized by M and S and is particularly suited for navigation tasks that require the identification of subgraphs whose edge density is above certain threshold. This is achieved by providing a zoomable matrix view of the underlying data. This view is strongly coupled to a hierarchical view of the essential information elements present in the data domain. We illustrate the applicability of this work to the visual navigation of cancer incidence data and to an aggregated sample of phone call traffic |
| Sponsorship | IEEE Comput. Soc. Visualization and Graphics Tech. Comm |
| Starting Page | 183 |
| Ending Page | 190 |
| File Size | 356304 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780387793 |
| ISSN | 1522404X |
| DOI | 10.1109/INFVIS.2004.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Navigation Cancer Web pages Diseases Read-write memory Visual databases Mathematics Computer science Telecommunication traffic Telecommunication computing Phone Traffic Graph Visualization Hierarchy Trees Clustering External Memory Algorithms Cancer Data |
| Content Type | Text |
| Resource Type | Article |
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