Data Analysis And Visualization Of Massive Amounts Data On Social Network On

With the rapid development of Internet, social networks also take up, gradually covered all areas of people’s life. In a social network, everyone is a data source, its data has a explosive growth. And the importance of the data’s value is self-evident. Today’s society is an information society. The one who can be more master information is more likely to seize market. And the aim of this paper is to analysis and visualizes the massive social network, which is to collect the data and use.Visualization technology has been the academic research hot spot, the visualization of abstract data can be graphically represented for people to easily understand and observe. Visualization expresses the data’s information and meaning in an intuitive form. In recent years, when visualization met big data, it is another challenge in the field of visualization. Facing this problem, this paper proposes a multi-level visual layout algorithm based on community discovery algorithm, with test and contrast, verify its effectively reduces the computational complexity, enhance the capacity of data show.Based on the proposed algorithm, this paper implements a social network information visualization system. The system integrates the data crawl module, data formatting module, association found module, and text messages to quantify module, and visualization module. The purpose of the system is to show the network structure of the massive social network and information distribution. This article first introduced the system requirements analysis, overall design and the working process. Then this paper made an introduction in detail of the realization of the various modules of the system. Finally, the system made a complete evaluation and analysis, and put forward the outlook for the next step work.