The Study On The Visualization Of Taxpayers’ Relationship Network

The data in taxation bureau database represent relations of taxpayers. These data are so complex and abstract that data analysts can hardly discover the inherent patterns. This paper describes how to design and implement an analytic system based on Visualization techniques and importance measurement methods to assist data analysts in understanding network of taxpayers better and detecting potential risks in the network.First, we build the model of taxpayers’relationship network. And we research the requirements of this analytic system. The classical three architecture model of software, B/S architecture and J2EE technical architecture are used to achieve the system to ensure the expansibility and maintainability. The following function modules of analytic system for taxpayers’ relationship network are carried out:(1)Model construction, to build the model of taxpayers’ relationship network,this module provides adding, changing and removing of ends and links, and also provides settings of database;(2) data querying, this module relies on BFS to query the database to generate the results for visualization module;(3) visualization, this module shows the taxpayers’ relationship network with graphical interface, provides dynamic switching between different layouts, and support a variety of importance measures; With this system data analysts can easily check the abnormal data in the database and find important taxpayers in the networks, and analysts can reduce the risk by investigating those important taxpayers.