NetV.js: A web-based library for high-efficiency visualization of large-scale graphs and networks
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 rema...
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Published in | Visual informatics (Online) Vol. 5; no. 1; pp. 61 - 66 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.03.2021
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2468-502X 2468-502X |
DOI: | 10.1016/j.visinf.2021.01.002 |