Visual Analysis System for Search Trend Data

Q3 Computer Science
Danny Cheng, Yunhai Wang
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引用次数: 1

Abstract

: A visual analysis system called STVAS is presented to help users explore and analyze data collected from search engines, which includes data collection and preprocessing, calculation of streamgraph, generation of streamlines and text placement, along with interactive analysis. It presents a visualization method that combines streamgraph and text to reveal search trends and hotspots. To guide the text placement within streamgraph, this system uses a novel layout algorithm with streamlines generated from the vector field inside the streamgraph. In addition, a set of interactions is offered to help user explore and analyze data on different levels. Quantitative evaluation of the visualization method is made on five blog datasets, and case studies on two real search datasets. The results demonstrate that this system can help users understand the evolving pattern of search engine data, discover the implicit search trends, and quickly grasp public opinions from the Internet.
搜索趋势数据的可视化分析系统
:提供了一个名为STVAS的可视化分析系统,帮助用户探索和分析从搜索引擎收集的数据,包括数据收集和预处理、流图计算、流线生成和文本放置,以及交互式分析。它提出了一种结合流图和文本来显示搜索趋势和热点的可视化方法。为了指导流图中的文本放置,该系统使用了一种新颖的布局算法,其中流图内的矢量场生成流线。此外,还提供了一组交互,以帮助用户探索和分析不同级别的数据。在五个博客数据集上对可视化方法进行了定量评估,并在两个真实的搜索数据集上进行了案例研究。结果表明,该系统可以帮助用户了解搜索引擎数据的演变模式,发现隐含的搜索趋势,并快速掌握互联网上的民意。
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来源期刊
计算机辅助设计与图形学学报
计算机辅助设计与图形学学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.20
自引率
0.00%
发文量
6833
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