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Vis Inf
Vis Inf  2021, Vol. 5 Issue (1): 61-66    DOI: 10.1016/j.visinf.2021.01.002
论文     
NetV.js：一款基于Web的支持大规模图和网络高效可视化的库
Dongming Hana,b, Jiacheng Pana,b, Xiaodong Zhaoa,b, Wei Chena
aState Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China bZhejiang Lab, Hangzhou, Zhejiang, China
NetV.js: A web-based library for high-efficiency visualization of large-scale graphs and networks
Dongming Hana,b, Jiacheng Pana,b, Xiaodong Zhaoa,b, Wei Chena
aState Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China bZhejiang Lab, Hangzhou, Zhejiang, China
 全文: PDF 
摘要： 图可视化在诸如社交媒体网络，蛋白质相互作用网络，交通网络等多个领域都发挥着重要的作用。许多可视化设计和变成工具都已经广泛应用于图相关的应用领域中。然而，针对大规模图数据进行高性能可视化仍具有挑战性。 NetV.js是一个基于WebGL的JavaScript库，旨在解决对大规模图数据进行高性能渲染，以提供足够的帧率以便用户交互。NetV.js使用了WebGL接口，启用了GPU作为底层渲染引擎，加速了大规模图数据的绘制速度，并且通过一系列交互和插件机制，丰富了NetV.js的功能，以方便用户构建交互式图可视化。
关键词： 图;  图可视化;  网络可视化;  节点连接图    
Abstract: Graph visualization plays an important role in several fields, such as social media networks, protein–protein interaction networks, and traffic networks. A number of visualization design tools and programming toolkits have been widely used in graph-related applications. However, a key challenge remains in the high-efficiency visualization of large-scale graph data. In this study, we present NetV.js, an open-source and WebGL-based JavaScript library that supports the fast visualization of large-scale graph data (up to 50 thousand nodes and 1 million edges) at an interactive frame rate with a commodity computer. Experimental results demonstrate that our library outperforms existing toolkits (Sigma.js, D3.js, Cytoscape.js, and Stardust.js) in terms of performance.
Key words: Graph    Graph visualization    Network visualization    Node-link diagram
出版日期: 2021-04-08
通讯作者: Wei Chen     E-mail: chenwei@cad.zju.edu.cn
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Dongming Han
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引用本文:

Dongming Han, Jiacheng Pan, Xiaodong Zhao, Wei Chen. NetV.js: A web-based library for high-efficiency visualization of large-scale graphs and networks. Vis Inf, 2021, 5(1): 61-66.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2021.01.002    或    http://www.zjujournals.com/vi/CN/Y2021/V5/I1/61

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