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作 者:Dongming Han Jiacheng Pan Xiaodong Zhao Wei Chen
机构地区:[1]State Key Lab of CAD&CG,Zhejiang University,Hangzhou,Zhejiang,China [2]Zhejiang Lab,Hangzhou,Zhejiang,China
出 处:《Visual Informatics》2021年第1期61-66,共6页可视信息学(英文)
基 金:This paper is supported by National Natural Science Founda-tion of China(61772456).
摘 要: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.
关 键 词:Graph Graph visualization Network visualization Node-link diagram
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