A Novel Front-End Visual Graph Layout Scheme for Large-Scale Relational Data

For the front-end graph layout visualization of large-scale relational data, an Echarts-based visual graph layout scheme is proposed to address the challenges, including node congestion, long convergence time, and incomprehensibility. The proposed scheme introduces the distance factor to divide the node categories into regions, then the scheme filters out the key nodes according to the canvas size and key indices, as well as realizes the visualization layout with the help of open-source tools. The proposed scheme efficiently processes massive visual nodes, as well as analyzes key nodes reasonably. Furthermore, the scheme is implementation-friendly, adaptable and compatible with various platforms.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/iucc65928.2024.00056
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.28
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A Novel Front-End Visual Graph Layout Scheme for Large-Scale Relational Data

Jie Gao, Xinzhou Cheng, Lexi Xu, Qingqing Zhang et al.
1 citations
Complex Network Analysis Techniques
0.28
article

A Novel Front-End Visual Graph Layout Scheme for Large-Scale Relational Data

Jie Gao, Xinzhou Cheng, Lexi Xu, Qingqing Zhang, Yanan Zhang, Cheng Chen, Zijing Yang, Rui Hao
article en
1 citations

Abstract

For the front-end graph layout visualization of large-scale relational data, an Echarts-based visual graph layout scheme is proposed to address the challenges, including node congestion, long convergence time, and incomprehensibility. The proposed scheme introduces the distance factor to divide the node categories into regions, then the scheme filters out the key nodes according to the canvas size and key indices, as well as realizes the visualization layout with the help of open-source tools. The proposed scheme efficiently processes massive visual nodes, as well as analyzes key nodes reasonably. Furthermore, the scheme is implementation-friendly, adaptable and compatible with various platforms.

China United Network Communications Group (China) (CN)
Openalex Percentile: Top 41%
Complex Network Analysis Techniques
0.28
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A Novel Front-End Visual Graph Layout Scheme for Large-Scale Relational Data — Jie Gao, Xinzhou Cheng, et al. · (2024) | TGRS Research Map | TGRS