Design And Implementation Of Education Cloud Platform Visualization System Based On Community Detection

With the rapidly development of the computer technology,Internet technology is growing by leaps and bounds.People cannot bear the life without Internet.People are more likely to have variety of intelligent home services and the intelligent devices.Communication and exchanges between people across the regional constraints,the fast pace of life and work pressure promote the desire of people to acquire knowledge.The Internet has become an inseparable live and work tool for Chinese people.The discovery of community relations in the network is called community discovery.The community discovery can provide tailored personalized service,more precise push based on network data,such as through the use of community discovery one can better exploit the user's interest,recommend the user to add the friends who are not friends yet or portrait the user and so on,which has a huge business and service value potential.The research and Realization of this paper is based on the community discovery algorithm,using the educational platform to authorize user data,to divide the community of educational platform users and form a community visualization system.Through the visualization of the graphical structure of the system,the education platform users' education situation is analyzed.This paper mainly includes: 1)research the construction of education platform.Design and implement the interface to read education platform user data.The Open API provided by the education cloud platform uses the Oauth protocol,which provides a secure,open and easy standard for user resource authorization.At the same time,any third party can use certification services of Oauth.This system only needs to obtain user's personal information,good friend information,message information,comment information through Open API,do not need to visit the bottom data interface of education platform.It provides convenience for developers to expand their functions.2)collating user information data of educational platform,using community discovery algorithm to calculate and get community data.This paper mainly uses and introduces the CFM algorithm.It uses backbone degree and expansion degree to discover the inner structure and outer boundary of the community.3)shows the community through visual tools,and from the page display speed,community structure and other aspects to analyse.In addition,the effect and performance of the system are evaluated,the shortcomings of the system are summarized,and the future progress is prospected.