An Efficient Visualization Technique of Large-Scale Nodes Structure with Linked Information

  • Mun Su-Youl (Dept. of Office Information, Jinju Health College) ;
  • Ha Seok-Wun (Dept. of Computer Science, Gyeongsang National University)
  • Published : 2005.03.01

Abstract

This study is to suggest a visualization technique to display the relations of associated data in an optimal way when trying to display the whole data on a limited space by dealing with a large amount of data with linked information. For example, if you track an IP address through several steps and display the data on a screen, or if you visualize the human gene information on a 3-dimensional space, then it becomes even easier to understand the data flow in such cases. In order to simulate the technique given in this study, the given algorithm was applied to a large number of nodes made in a random fashion to optimize the data and we visually observed the result. According to the result, the technique given in this study is more efficient than any previous method in terms of visualization and utilizing space and allows to more easily understand the whole structure of a node because it consists of sub-groups.

Keywords

References

  1. Hee Youg Yoo, 'Advancedvisualization by an Efficient Information Layout and an Improved Fisheye Lens Algorithm', 동국대학교 석사학위 논문, p16, 1997
  2. Jee-In Kim, 'Visualization of Information in Hierarchical Structures', 건국기술연구논문지, 제 24 집, p 행 67, 1999
  3. B.Johnson and B.Shneiderman, 'Treemaps.a spacefilling approach to the visualization of hierarchical information structures' , In Visualization 1991, pages 284-291 IEEE, 1991
  4. Hideki Koike and Hirotaka Yoshihara, 'Fractal approaches for visualizing huge hierarchies', In Proceedings ofthe I993 IEEE Symposium on Visual Lanuages. IEEE, 1993
  5. Manojit Sarkar and Marc H. Brown, 'Graphical fisheye views of graphs', In Proceedings of the ACM SIGCH Conference on Human Factors in Computing Systems, pages 83-91 ACM, April 1992
  6. Andreas Nurnberger and Marcin Detyniecki, 'Visualization Changes in Data Collections Using Growing Self-Organization Maps', IEEE, 2002
  7. M.Balzer, A.Noack, O.Deussen and C.Lewerentz, 'Software Landscapes:Visualizing the Structure of Large Software Systems', Joint EUROGRAPHICS-IEEE TCVG Symposium on Visualization, 2004