Supporting moodle-based lesson through visual analysis
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
Visualizing translation variation: Shakespeare's Othello
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
ThemeCrowds: multiresolution summaries of twitter usage
Proceedings of the 3rd international workshop on Search and mining user-generated contents
Visual analysis of microblog content using time-varying co-occurrence highlighting in tag clouds
Proceedings of the International Working Conference on Advanced Visual Interfaces
Semantic Wordification of Document Collections
Computer Graphics Forum
Seeing beyond reading: a survey on visual text analytics
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Semantic-preservingword clouds by seam carving
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Fisheye word cloud for temporal sentiment exploration
CHI '13 Extended Abstracts on Human Factors in Computing Systems
TopicFlow: visualizing topic alignment of Twitter data over time
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
FacetClouds: exploring tag clouds for multi-dimensional data
Proceedings of Graphics Interface 2013
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Tag clouds have proliferated over the web over the last decade. They provide a visual summary of a collection of texts by visually depicting the tag frequency by font size. In use, tag clouds can evolve as the associated data source changes over time. Interesting discussions around tag clouds often include a series of tag clouds and consider how they evolve over time. However, since tag clouds do not explicitly represent trends or support comparisons, the cognitive demands placed on the person for perceiving trends in multiple tag clouds are high. In this paper, we introduce SparkClouds, which integrate sparklines [23] into a tag cloud to convey trends between multiple tag clouds. We present results from a controlled study that compares SparkClouds with two traditional trend visualizations—multiple line graphs and stacked bar charts—as well as Parallel TagClouds [4]. Results show that SparkClouds ability to show trends compares favourably to thealternative visualizations.