Research And Implementation Of Information Visualization Framework Based On Adobe Flex

In the age of information explosion, knowledge and useful laws immerges in the mass of data. In recent years, the increasing network data becoming a hot topic in the modern sociology research. At the same time, scientific research institutions have invented a series of web-based tools to help researchers analyzing data in multi-dimensions and different aspects. However, these tools concentrate more on C/S applications and are not good to Web accessing.Focused on the mining of social network data, this paper presents a Visual Analysis architecture based on Adobe Flex technology to support the information visualization in Web environment.This paper is based on the existing network visualization techniques as well as visualization tool for the study, detailed explored the impact of the layout algorithm and rendering method on network visualization, constructed a network visualization model based on Adobe Flex technology, and provided an effective visual display means for network data. The framework not only support a effective multi-dimension dynamic display for existing network, and through a flexible user interaction, allowing users from different attribute dimensions. The framework realized efficient social network analysis algorithms, including statistical analysis of networks, important network nodes and links discovery, community discovery and visualization, thereby achieved more effective analysis of the characters relationship from network data.Finally, the above research results are applied to China Sci-tech Analysis & Evaluation Service, which is supported by a project called "Sicence and Techonolgy Information Service System key technology research and application demonstration," under national science and technology fund. The results verified the efficiency and effectiveness of the information visualization framework we proposed.