Major Information Visualization Authors, Papers and Topics in the ACM Library

W. Ke, K. Börner, Lalitha Viswanath
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引用次数: 71

Abstract

The presented work aims to identify major research topics, co-authorships, and trends in the IV Contest 2004 dataset. Co-author, paper-citation, and burst analysis were used to analyze the dataset. The results are visually presented as graphs, static Pajek [1] visualizations and interactive network layouts using Pajek’s SVG output feature. A complementary web page with all the raw data, details of the analyses, and high resolution images of all figures is available online at http://iv.slis.indiana.edu/ref/iv04contest/.
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ACM图书馆的主要信息可视化作者、论文和主题
提出的工作旨在确定主要的研究课题,合作作者,并在2004年第四届大赛数据集中的趋势。使用合著者,论文引用和突发分析来分析数据集。结果以图形、静态Pajek[1]可视化和使用Pajek的SVG输出特性的交互式网络布局的形式可视化地呈现。一个包含所有原始数据、分析细节和所有数字的高分辨率图像的补充网页可在http://iv.slis.indiana.edu/ref/iv04contest/在线获得。
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