Radial Layered Matrix Visualization of Dynamic Graphs

Radial Layered Matrix Visualization of Dynamic Graphs
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动态图的径向分层矩阵可视化

DOI:
10.1109/iv.2013.6
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发表时间:
2013
期刊:
2013 17th International Conference on Information Visualisation
影响因子:
--
通讯作者:
D. Weiskopf
D. Weiskopf
中科院分区:
--
文献类型:
--
作者:
Corinna Vehlow;Michael Burch;H. Schmauder;D. Weiskopf

文献摘要

被引文献

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我们为动态有向加权图提出了一种新颖的径向分层矩阵可视化,其中顶点也可以分层组织。边缘在径向图中表示为颜色编码的弧。它们的位置由极坐标定义,而不是传统邻接矩阵表示中的笛卡尔坐标:环内边缘的角位置由两个相关顶点的角平分线给出,径向位置线性取决于这些顶点之间的角距离。通过径向对齐图形模式可以促进对时变关系数据的探索。此外,我们的方法结合了多种交互技术来探索动态模式,例如趋势和反趋势。通过分析从开源软件项目获取的大型动态调用图的两个案例研究说明了其有用性。
We propose a novel radial layered matrix visualization for dynamic directed weighted graphs in which the vertices can also be hierarchically organized. Edges are represented as color-coded arcs within the radial diagram. Their positions are defined by polar coordinates instead of Cartesian coordinates as in traditional adjacency matrix representations: the angular position of an edge within an annulus is given by the angle bisector of the two related vertices, the radial position depends linearly on the angular distance between these vertices. The exploration of time-varying relational data is facilitated by aligning graph patterns radially. Furthermore, our approach incorporates several interaction techniques to explore dynamic patterns such as trends and countertrends. The usefulness is illustrated by two case studies analyzing large dynamic call graphs acquired from open source software projects.