Visual Analysis System For Large-scale Graph Data

Graph is a data structure consisting of nodes and edges,typically used to represent relationships between entities.The graph data visualization analysis system can help users understand and discover the structure,relationship and hidden patterns between these nodes and connection edges,thereby assisting users to make decisions.Visual analysis of graph data is widely used in fields such as financial risk control,social network,and bioinformaticsWith the development of the times,the size and complexity of graph data are gradually increasing.Existing graph data visual analysis platforms lack support for display and drawing in large-scale graph data scenarios,and lack effective support in terms of layout and interaction methods.First of all,their system flexibility and scalability are poor,and the processing process of data analysis is relatively cumbersome.Analysts need to have a certain knowledge reserve,and they do not support custom processing of data.Secondly,the existing graph data analysis platform lacks reasonable interactive means to help analysts conduct in-depth exploration and analysis of data,and cannot effectively support large-scale graph data analysis scenarios with more elemental information.In order to solve the above problems in graph data analysis,this paper proposes a data visualization analysis system based on WebGL rendering.This paper proposes corresponding solutions to the problems of node layout,system interaction and display rendering in graph data analysis.In this paper,by abstracting the node and connection edge information in the graph data,the attributes of the graph data are mapped into the element objects displayed by the system,which realizes rich visual mapping and display methods,and strengthens the visual expression of graph data.For the complex structure of graph data analysis,this paper implements a large number of layout methods to help analysts quickly obtain effective information in the data.In terms of system interaction,this paper implements many system interaction methods,and analysts can conduct data mining and exploration according to different needs.In order to solve the problem of rendering efficiency in large-scale data scenarios and the display and drawing of a large number of elements,this paper implements the display and drawing method of graph data based on WebGL,which improves the efficiency of the system for data rendering and increases the display of data during the rendering process.Scale,to increase the data scale that can be supported in rendering.In order to prove the effectiveness of the graph data analysis system in this paper,some system functions are selected for testing in this paper to prove the feasibility of our graph data analysis system in terms of function realization.By comparing the quantitative performance with other methods,it is proved that our method is superior to other methods in terms of data size and display efficiency.