计算机科学 ›› 2011, Vol. 38 ›› Issue (2): 206-209.
• 人工智能 • 上一篇 下一篇
许彦如,王长波,刘玉华,章群燕
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XU Yan-ru,WANG Chang-bo,LIU Yu-hua,ZHANG Qun-yan
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摘要: 多维数据的可视化可以帮助人们在有限的时间内快速理解和分析海量数据集。网络论坛数据具有复杂性和大规模性,无法采用简单的图形显示出隐含的规律。针对多维海量论坛数据,首次分析了论坛数据的特点,然后提出了一种层次的数据组织方式,进而针对论坛中的主题时变分布、热门主题转换、作者回复关系等多种数据信息,采用平行坐标、曲面关系图、层次映射图等多种形式进行海量论坛数据的互动可视化。最后以实际论坛数据为例,给出可视化结果并进行分析。
关键词: 论坛数据,多维信息,层次可视化
Abstract: Visualization of multi-dimensional data is an effective method for helping people understand and analyse multivariate data sets. Forums in Internet have taken a more and more important role in everyone's life. Visualizing forum data will help analyze the pattern of people's participation in forums. This paper first analyzed the feature of forum data such as closely relation with time, mass data size, multi-level data structure, multiple attributes and complex relation within the data. We proposed three methods, such as parallel coordinate, hierarchical map and curve map to visualize the different datasets in network forum. At last, we took data in a real forum for example and showed the results of visua lization.
Key words: Forum data, Mass data, Visualization of hierarchies
许彦如,王长波,刘玉华,章群燕. 多维网络论坛数据的层次可视化[J]. 计算机科学, 2011, 38(2): 206-209. https://doi.org/
XU Yan-ru,WANG Chang-bo,LIU Yu-hua,ZHANG Qun-yan. Hierarchical Visualization of Multi-dimensional Forum Data[J]. Computer Science, 2011, 38(2): 206-209. https://doi.org/
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