%0 Journal Article
%T Multivariate Network Visualization Paradigm<br>一种多变元网络可视化方法
%A SUN Yang
%A ZHAO Xiang
%A TANG Jiu-Yang
%A TANG Da-Quan
%A XIAO Wei-Dong
%A <br>孙扬
%A 赵翔
%A 唐九阳
%A 汤大权
%A 肖卫东
%J 软件学报
%D 2010
%I 
%X This article proposes a multivariate network visualization paradigm, MulNetVisBasc. Advanced Start Coordinates (ASC) are employed to place nodes on the basis of multivariate attributes and to devise an algorithm that that incorporates edge-merging and routing techniques to automatically lay-out edges; furthermore, a user-friendly human-computer interface is developed to assist users in further data analysis and mining. The experimental results suggest that the visualization of MulNetVisBasc not only uncovers the multivariate distributional characteristics of datasets intuitively, but also displays the associations of networks clearly and is helpful in discovering the implicit knowledge hidden behind datasets. The edge layout algorithm reduces the visual clutters caused by edge crossing and is suitable for relatively huge multivariate network datasets in virtue of its low complexity. Finally, the human-computer interface is flexible and convenient.
%K multivariate network visualization
%K Elamer
%K advanced star coordinates
%K network visualization
%K multivariate data visualization
%K information visualization<br>多变元网络可视化
%K 基于边融合及路由技术的边布局算法Elamer
%K 高级星形坐标法
%K 网络可视化
%K 多变元可视化
%K 信息可视化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=BB6BD108B24EA8E6637A76E03C73E2FB&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=9CF7A0430CBB2DFD&sid=28C569C68A441089&eid=B864B51C79B25D7B&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=28