Title :
LGES: A Large Graph Embedding System
Author :
Zhou, Weihua ; Huang, Jingwei
Author_Institution :
Wuhan Univ., Wuhan
Abstract :
Many convenient graph drawing tools have been developed to visualize the relational information among the large massive data sets. This paper presents a new system for drawing large undirected graphs in the two-dimensional and three-dimensional space, called LGES. It employs a fast novel algorithm to beautify the layouts, which adopts the multi-level method as the framework of the algorithm, and uses the improved force-directed algorithm to refine the single-level layouts. Experiments prove its high performance and nice results. It takes around 5 seconds to draw 10,000 vertex graphs in the two- dimensional space and around 40 seconds in the three- dimensional space. Moreover, the independent components provided by the LGES system are attractive for its further development and application.
Keywords :
computational geometry; graph theory; LGES; force-directed algorithm; graph drawing; large graph embedding system; large massive data sets; relational information; undirected graphs; Algorithm design and analysis; Application software; Clustering algorithms; Computer displays; Data mining; Data visualization; Embedded computing; Interpolation; Kernel; Research and development;
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
DOI :
10.1109/WKDD.2008.156