Visualization of Dynamic Social Network
Kai-Hsin Liu, Hung-I Chung, Zhen-Fu Fan
In this project, we will focus on the complexity factors of social network visualization. Because with the different kinds of visual-tasks we conduct, the more analysis applications we need to use. However, there is still not exist an objective definition and model to define social network visualization complexity. So in this work, we try to find out a generally accepted index to define different tasks’ complexity factors, and by using centrality, cohesion or closeness as another kinds of index to solve the problem. Finally, we will conduct a preceding experiment to collect user-experience data, and summarizing the result by qualitative and quantification survey to get proper complexity factors for visual-tasking.
Category: Information Visualization