SideKnot: Edge Bundling for Uncovering Relation Patterns in Graphs

The node-link diagram is an intuitive way to depict a graph and present relationships between entities. Addressing the visual clutter induced by edge crossing and node-edge overlapping is a challenging task as the size of graph outgrows the visualization space. Many edge bundling methods are propose...

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Veröffentlicht in:Tsinghua science and technology 2012-08, Vol.17 (4), p.399-408
Hauptverfasser: Peng, Dichao, Lu, Neng, Chen, Guangyu, Zuo, Wuheng, Chen, Wei, Peng, Qunsheng
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container_issue 4
container_start_page 399
container_title Tsinghua science and technology
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creator Peng, Dichao
Lu, Neng
Chen, Guangyu
Zuo, Wuheng
Chen, Wei
Peng, Qunsheng
description The node-link diagram is an intuitive way to depict a graph and present relationships between entities. Addressing the visual clutter induced by edge crossing and node-edge overlapping is a challenging task as the size of graph outgrows the visualization space. Many edge bundling methods are proposed to disclose high-level edge patterns. Though previous methods can successfully reveal the skeleton graph structure, the relation patterns at the individual node level can be overlooked. In addition, most edge bundling algorithms are computationally complex, which prevents them from scaling up for extremely large graphs. In this article, we extend SideKnot, an efficient edge bundling method to cluster and knot edges at the node side. Our proposed method is light, runs faster than most existing algorithms, and can reveal the relation patterns at the individual node level. Our results show that SideKnot can disclose a node's standing in the graph as well as the directional connection patterns to its peers.
doi_str_mv 10.1109/TST.2012.6297586
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subjects Algorithms
可视化
开关
曲线图
模式图
边缘节点
运行速度
连接模式
链接图
title SideKnot: Edge Bundling for Uncovering Relation Patterns in Graphs
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