搜索趋势数据可视分析系统

Visual Analysis System for Search Trend Data

为了帮助用户理解和分析搜索引擎产生的搜索数据,提出一个搜索趋势数据可视分析系统,包括数据收集与预处理、流图计算与绘制、流线生成与文字摆放以及交互式分析.以流图与文本相结合的方式呈现搜索数据,展示数据中蕴含的搜索趋势和热点;创新性地提出了流线指导下的文本布局算法,使文字能更好地贴合流图形状;此外,还提供了一系列交互,帮助用户在不同层面对搜索数据进行探索和分析.选取5个博客数据集,从紧凑性和方向一致性2个方面对可视化方法进行量化评估,并采用2个真实的搜索数据集进行案例分析.结果表明,该系统能帮助用户理解搜索数据的变化模式,发现数据中隐含的搜索趋势,并快速掌握互联网舆情信息.

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.