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Bubble sets: Revealing set relations with isocontours over existing visualizations
| Venue: | IEEE Transactions on Visualization and Computer Graphics |
| Citations: | 86 - 6 self |
BibTeX
@ARTICLE{Collins_bubblesets:,
author = {Christopher Collins and Gerald Penn and Sheelagh Carpendale},
title = {Bubble sets: Revealing set relations with isocontours over existing visualizations},
journal = {IEEE Transactions on Visualization and Computer Graphics},
year = {},
pages = {2009}
}
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Abstract
Abstract—While many data sets contain multiple relationships, depicting more than one data relationship within a single visualization is challenging. We introduce Bubble Sets as a visualization technique for data that has both a primary data relation with a semantically significant spatial organization and a significant set membership relation in which members of the same set are not necessarily adjacent in the primary layout. In order to maintain the spatial rights of the primary data relation, we avoid layout adjustment techniques that improve set cluster continuity and density. Instead, we use a continuous, possibly concave, isocontour to delineate set membership, without disrupting the primary layout. Optimizations minimize cluster overlap and provide for calculation of the isocontours at interactive speeds. Case studies show how this technique can be used to indicate multiple sets on a variety of common visualizations. Index Terms—clustering, spatial layout, graph visualization, tree visualization. 1
Keyphrases
bubble set set relation primary layout primary data relation data relationship interactive speed common visualization visualization technique cluster continuity multiple set case study tree visualization single visualization many data set graph visualization spatial layout index term cluster overlap layout adjustment technique spatial right significant set membership relation multiple relationship set membership significant spatial organization
