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.