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SparkClouds: Visualizing Trends in Tag Clouds

机译:SparkClouds:可视化标签云中的趋势

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摘要

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 Tag Clouds [4]. Results show that SparkClouds ability to show trends compares favourably to the alternative visualizations.
机译:过去十年来,标签云在网络上激增。通过以字体大小直观地描述标签频率,它们提供了文本集合的可视摘要。在使用中,标签云会随着相关数据源随时间的变化而发展。关于标签云的有趣讨论通常包括一系列标签云,并考虑它们如何随着时间演变。但是,由于标签云未明确表示趋势或支持比较,因此感知多个标签云趋势对人的认知要求很高。在本文中,我们介绍了SparkClouds,它将Sparklines [23]集成到标签云中以传达多个标签云之间的趋势。我们提供了一项对照研究的结果,该研究将SparkClouds与两个传统趋势可视化(多条线图和堆积的条形图)以及Parallel Tag Cloud进行了比较[4]。结果表明,SparkClouds显示趋势的能力优于其他可视化效果。

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