TransGraph: A Transformation-Based Graph for Analyzing Relations in Data Set

Graph analysis is an effective approach to reveal the complex relationships in data set,and usually visualization plays a significant role during this process.The graph visualization techniques based on the simplification technology can reduce the visual clutter as well as the complexity of the graph layout,enhance the user's cognition,and thus have great advantage while analyzing various kinds of complex relationships.According to the actual analytical needs in food safety fields,this paper,based on the traditional force directed graph layout,proposes a transformation-based graph called TransGraph,which integrates some simplification approaches including graph filtering,node clustering,fisheye distortion and some effective interactive exploration techniques like overview+detail,focus+context,etc.TransGraph consists of donuts,sunburst and other visual elements to make it possible for reflecting the data distribution and hierarchical structure of current focus while displaying the overall network relationship among nodes.Users can also view the details of the relations or the node similarity situation interactively according to the user interest.Finally,a visual analytic system called PestResiTGVis is provided based on the simulated data sets of pesticide residues in fruits and vegetables.The experimental result shows that TransGraph highlights the key regulatory objects and comprehensively demonstrate the related information,and thus can effectively assist the relevant authorities to make corresponding decisions.