一种基于WebVR的网络数据三维树形可视化  

A 3D Tree Visualization of Network Data Based on WebVR

作　　者：林定[1] 黄国新 徐颖 Lin Ding;Huang Guoxin;Xu Ying(Fuzhou University, Spatial Information Research Center of Fujian, Key Laboratory of Spatial Data Mining ＆ information Sharing of MOE, Fuzhou 350116, China)

机构地区：[1]福州大学,福建省空间信息工程研究中心,空间数据挖掘与信息共享教育部重点实验室,福建福州350116

出　　处：《系统仿真学报》2018年第7期2736-2743,2752,共9页Journal of System Simulation

基　　金：国家自然科学基金(31200430)

摘　　要：提出一种基于聚类的网络数据三维树形可视化方法,将聚类所得到网络结构映射为层次划分树型结构,用社区节点的数量作为权重,改进Phyllo Trees的叶序布局算法,实现了基于Web VR的网络数据三维可视化。在三维场景中实现旋转、缩放、移动、拾取、透明淡化/高亮增强的差异化显示等交互操作,示例实验结果表明,本文的方法不仅能够简洁灵活地展示网络数据的总体层次结构,还能够多样化、差异化、多尺度地表达数据细节,为利用虚拟现实技术探索网络数据的潜在价值提供有效的技术手段。A new method of three dimensional tree-style visualization of network data is proposed in this paper based on cluster computing, which maps the network structure of clustered data to hierarchical tree structure. The number of nodes of a community is treated as the weight to improve the Phyllo Trees＇ phyllotactic layout algorithm and the 3D visualization of network data is implemented based on Web VR. Friendly interactive manipulations are achieved in the immersive VR scene such as rotation, zooming, pan, picking, and transparent fade/highlight enhancement of different displaying. The experimental results show that our method can show not only the overall hierarchical structure of network, but also the detail information of its vertices simply and flexibly. Thus, we can gain diverse, different-aspect, multi-view, multi-scale profile of network data, and provide an effective technical mean to explore the potential value of network by virtual reality technology.

关 键 词：WebVR 网络社区结构 三维可视化 Neo4j 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]