Title :
VCD: A network visualization tool based on community detection
Author :
Runpeng, Liang ; Jun, Hua ; Xiaofan, Wang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In a complex network, communities are groups of nodes that are densely connected inside while sparsely connected to the outside. The study of such communities is crucial in exploring the structure of a network, especially when small communities form larger ones that in turn group together to build even larger ones, resulting in a hierarchy. Besides, fence-sitting nodes, nodes shared among different communities, are common in real networks. Although a large amount of network visualization tools are available, few could visualize the hierarchical community structure and fence-sitting nodes. Thus, we proposed visualization methods and accordingly developed a network visualization tool to dynamically uncover the hierarchical community structure and reveal fence-sitting nodes. Tests on a yeast network yielded satisfying results.
Keywords :
complex networks; data visualisation; network theory (graphs); VCD tool; community detection; fence-sitting node; hierarchical community structure; network structure; network visualization tool; visualization method; yeast network; Color; Communities; Complex networks; Data visualization; Image edge detection; Layout; Visualization; complex network; fence-sitting nodes; hierarchical community structure; overlapping community; visualization;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8