Hierarchical structure analysis and visualization of Japanese law networks based on morphological analysis and granular computing

In order to grasp the perspective of more than seven thousand laws in Japan, and to find the relationships between law and laws, a method of creating a hierarchical network of the laws by using the morphological analysis and granular computing, is proposed. The proposed method analyzes the hierarchical networks by using the index of the network science such as degree distribution. Furthermore, it visualizes the hierarchical structure in the setting of granular computing. By using JAVA-based language dasiaProcessingpsila, a network visualization system is implemented, and it is confirmed that users can easily analyze/understand the law network structure by the proposed system.