Graph visualization techniques for conceptual Web site traffic analysis

W. Didimo, G. Liotta, S. A. Romeo
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引用次数: 9

Abstract

Systems that support Web site traffic analysis are core business intelligence applications for many companies. Recent papers remark that these systems are especially useful if they measure the users' interest into the relevant concepts described in a Web site rather than counting users' accesses to the distinct pages forming theWeb site. This paper extends existing measures of conceptual Web site traffic analysis and describes a system, called COWA, that supports this analysis by means of network models and graph visualization technologies. The graph drawing algorithmic core of the user interface of COWA is a force directed heuristic that computes a simultaneous embedding of two non-planar graphs. This heuristic optimizes the visualizations in terms of crossing resolution and user's geodesic tendency. Experimental results and case studies show the effectiveness of the proposed approach in practice.
概念网站流量分析的图形可视化技术
支持网站流量分析的系统是许多公司的核心商业智能应用程序。最近的论文指出,如果这些系统能够衡量用户对网站中描述的相关概念的兴趣,而不是计算用户对构成网站的不同页面的访问次数,那么这些系统就特别有用。本文扩展了现有的概念性网站流量分析方法,并描述了一个称为COWA的系统,该系统通过网络模型和图形可视化技术支持这种分析。COWA用户界面的图形绘制算法核心是一个力导向启发式算法,计算两个非平面图形的同时嵌入。这种启发式优化了交叉分辨率和用户的测地线倾向方面的可视化。实验结果和实例分析表明了该方法在实际应用中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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