现实世界中的密集图有多密集?方法说明

G. Melançon
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引用次数: 69

摘要

这篇方法学笔记关注的是现实世界中网络实例的边缘密度。在进行用户研究以证明一种新的图形可视化技术的鲁棒性或优越性时,边缘密度通常是一个感兴趣的参数。我们调查了许多对信息可视化同样感兴趣的现实世界的例子,并就如何在随机生成图时调整边缘密度得出了一系列结论,以便构建人工的,但现实的例子。
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Just how dense are dense graphs in the real world?: a methodological note
This methodological note focuses on the edge density of real world examples of networks. The edge density is a parameter of interest typically when putting up user studies in an effort to prove the robustness or superiority of a novel graph visualization technique. We survey many real world examples all being of equal interest in Information Visualization, and draw a list of conclusions on how to tune edge density when randomly generating graphs in order to build artificial though realistic examples.
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