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3D Visualization of Network Including Nodes with Labels

机译:网络的3D可视化,包括带有标签的节点

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Visual cluttering is still a severe problem of large-scale network visualization techniques, and therefore many improvements on network visualization have been presented. Meanwhile, many network datasets in our daily life contain label information. We are developing a network visualization technique which overlays a node-link diagram for visualizing the connectivity and a set visualization for representing the label information. Our technique firstly places a set of nodes in an input dataset into a 3D space and provides an interactive mechanism to manipulate viewpoints in the 3D space. The technique then projects the nodes onto a 2D plane and generates a Delaunay triangular mesh connecting the nodes which have the user-specified label on the 2D plane. Finally, it displays the outer boundary of the triangular mesh to represent the region enclosing the nodes which have the label. In addition, supposing that multiple weighted labels can be assigned to the same node, our implementation draws nodes like pie charts to clearly represent the weights of labels assigned to the nodes. This paper shows examples of the visualization applying a co-authorship network dataset.
机译:视觉混乱仍然是大规模网络可视化技术的严重问题,因此已经提出了许多关于网络可视化的改进。同时,我们日常生活中的许多网络数据集都包含标签信息。我们正在开发一种网络可视化技术,该技术覆盖了用于可视化连接性的节点链接图和用于表示标签信息的可视化设置。我们的技术首先将输入数据集中的一组节点放置到3D空间中,并提供一种交互机制来操纵3D空间中的视点。然后,该技术将节点投影到2D平面上,并生成Delaunay三角网格,以连接在2D平面上具有用户指定标签的节点。最后,它显示三角形网格的外部边界,以表示包围具有标签的节点的区域。另外,假设可以将多个加权标签分配给同一节点,我们的实现将绘制饼图之类的节点,以清楚地表示分配给该节点的标签的权重。本文显示了应用共同作者网络数据集的可视化示例。

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