2D-Barcode: A Visible Point Cloud Structure Descriptor Application for Mining the Enron Executives Organization Structures
Zhao Yan, Dongyun Yi, Chengli Zhao, Cui Jing, Sun Gyoo Kang · 2013
A kind of descriptor for depicting the Point Cloud Structure is Carlsson's 1D-Barcode. This paper puts forward a brand new Point Cloud Descriptor: 2D-Barcode, which promotes the Barcode's dimension from 1 to 2 and results in containing much more structure information and visible. By proposing a new method of constructing the relationships among the organization based on the content instead of correspond, the structures showed by 2D-Barcode in mining the Enron executives' organization are meaningful and significant, such as the Structure of Enron Senior Executives and the Structure of the Californian Energy Crisis. Meanwhile, we analyze the Enron scandal criminal by the 2D-Barcode and discover the small-middle-scale law in the criminal distribution. This law may guide us in seeking the important people in the organization. In brief, the 2D-Barcode is a visible and effective descriptor for depicting the point cloud structure.