The Research And Implementation Of Interactive And Visualization Analysis System Based On Huge Literature Information

Literature network analysis (LNA) is a special kind of social network analysis, which will be much important for the development and investigation of work to lead science development and reasonably distribute resource. However, at home LNA is still in the scientific research phase, and there are few tools serving for interactive and visualization analysis based on huge literature information. This paper focus on studying and implementing such a system which can not only provide analysis function but also support interactive visualization of the analysis result. On one hand, this system solves the problem that modern analysis based on literature data is short in visualization. On the other hand, it also makes up the limitation in analysis of many visualization tools for huge data.During the implementing of the system, this paper gives emphasis to studying the methods suitable for visualization analysis on huge literature data , and gives two main methods . One is link analysis based on the dimension of entities related to link and the other is based on clustering algorithms which include not only classic clustering algorithm based on edge betweeness, but also Frequency Mining in Maximal Cliques-means algorithm proposed by us which has lower time complexity than the former one.Except the work introduced above, this paper also proposes the data modeling, gives the overall architecture and core designment of the system and we implemented the system by Java under the C/S model . At last , an application validation for the system with the literature data in life science is given.