Computer Science ›› 2019, Vol. 46 ›› Issue (1): 107-111.doi: 10.11896/j.issn.1002-137X.2019.01.016

• CCDM2018 • Previous Articles     Next Articles

Edge Bundling Method of Spiral Graph Based on Interval Classification

ZHU Li-xia, LI Tian-rui, TENG Fei, PENG Bo   

  1. (School of Information Science and Technology,Southwest Jiaotong University,Chengdu 611756,China)
  • Received:2018-05-11 Online:2019-01-15 Published:2019-02-25

Abstract: Spiral graph is a common visualization method in visualizing time series data.It can not only simultaneous display the multiple-stages data in one plane space,but also demonstrate the data with different time length in a limited space.In order to solve the problem of visual clutter caused by the intersection of helical lines in the present spiral image visualization methods,a method of edge bundling is of great significance.First,the data points on the state circle are classified.Then the virtual bundling circles are set between the adjacent state circles,and the data points on the state ring are mapped to the corresponding virtual bundling circle by the function of edge bundling.Finally,in order to achieve the effect of curve bundling,the Bézier curve is drawn between the state circle and its corresponding virtual bundling circle,and the spiral curve is drawn between the virtual bundling circle and the virtual bundling circle.Experimental results show that the edge-bundling algorithm is effective for large-scale data visualization and can effectively alleviate the problem of visual clutter.

Key words: Visualization, Spiral graph, Edge bundling, Time series

CLC Number: 

  • TP311.11
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