Evolutionary-Edge Bundling with Concatenation Process of Control Points

R. Saga, Jae-Chul Baek
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Abstract

Edge bundling is one of the information visualization techniques, which bundle the edges of a network diagram based on certain rules to increase the visibility of the network diagram and facilitate the analysis of key relationships among nodes. As one of evolutionary-based edge bundling, genetic algorithm-based edge bundling (called GABEB) is proposed which uses a genetic algorithm to optimize the placement of edges based on aesthetic criteria. However, it does not sufficiently consider the bundling between neighboring edges, and thus visual clutter issues still remain. Based on the above background, we propose an improved bundling method that considers the concatenating of control points at each edge using GABEB.
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具有控制点串联过程的进化边缘捆绑
边缘捆绑是一种信息可视化技术,它将网络图的边缘按照一定的规则进行捆绑,以增加网络图的可见性,便于分析节点之间的关键关系。作为基于进化的边缘捆绑的一种,提出了基于遗传算法的边缘捆绑(GABEB),该算法基于美学标准对边缘的位置进行优化。然而,它没有充分考虑相邻边之间的捆绑,因此仍然存在视觉混乱问题。基于上述背景,我们提出了一种改进的捆绑方法,该方法考虑了使用GABEB在每条边连接控制点。
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