Knowledge Discovery by Network Visualization

Knowledge Discovery by Network Visualization
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通过网络可视化发现知识

DOI:
10.1007/978-3-540-69736-7_26
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发表时间:
2008-06
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网页间的超链接是非常重要的信息,广泛用于网页聚类和网页排名。随着网络上可用网页数量的爆炸式增长,网页间超链接的探索成为一个非常具有挑战性的问题。信息可视化提供了一种有效的超链接可视化方式,可以帮助用户深入了解网页之间的关系。在本文中,我们提出了一些新的计算机图形技术来可视化网页之间的超链接。我们提出了一种针对五维超链接数据的可视化编码方案,以及针对单个网页的输入和输出链接的两种受限3D布局技术。为了揭示网页的层次结构和超链接信息,我们扩展了树状图的表示。我们的表示在视觉上很吸引人,可以有效地揭示网页之间的联系模式。实验结果和用户研究证明了系统的有效性。该系统可以促进网络学习,帮助学生理解网络数据集中的复杂结构和隐藏模式。
Hyperlinks among webpages are very important information and are widely used for webpage clustering and webpage ranking. With the explosive growth in the number of webpages available online, the exploration of hyperlinks among webpages becomes a very challenging problem. Information visualization provides an effective way of visualizing hyperlinks and can help users gain insights into the relationships of webpages.In this paper, we present some novel computer graphics techniques to visualize the hyperlinks among webpages. We propose a visual encoding scheme for five dimensional hyperlinks data and two constrained 3D layout techniques for incoming and outgoing links of a single webpage. To reveal the hierarchical structure of webpages as well as the hyperlinks information, we extend the treemap representation. Our representations are visually appealing and can effectively reveal linkage patterns among webpages. Experimental results and a user study demonstrate the effectiveness of our system. Our system can facilitate E-learning and help students understand the complex structures and hidden patterns in network datasets.
DOI: 10.1145/274644.274699
发表时间: 1998-01
期刊: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
影响因子: --
作者:
Ed H. Chi;J. Pitkow;J. Mackinlay;P. Pirolli;Rich Gossweiler;S. Card
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期刊: --
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DOI: 10.1109/iv.2003.1218020
发表时间: 2003-07
期刊: Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.
影响因子: --
作者:
Yoichi Tanaka;Y. Okada;K. Niijima
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