Research On Integrative Service Based On Analysis Of Social Network Information

As the increasing popularity of internet and social network service, social network service is playing a more and more important role in people’s daily life, and a quantity of users are updating their personal home page in several largest social network site. But at the same time, after a period of high-speed development, there are some problems, among which the most typical problem is the homogeneity and simplification of information and functions. According to the survey, when searching for information, part of users consider that they are always surrounded by information which they have already known, so they do not feel fresh again as the start of using social network service, and some of them stop using social network service for losing value of information. Based on issues above, this topic concentrates on quantitative analysis of user relationship, by analyzing user interaction data and user personal information. Also this topic develops a new application combined with found information which offers users weak-ties-group function and user searching function, then develop their interpersonal communication and solve problems that social network service is facing.Firstly, this topic analyzes the problem that value of information is decreasing, and proposes a solution which starts with analyzing user data and then does quantitative analysis of user relationship. Secondly, this topic uses the result of user relationship analysis to discover weak ties in social network service and to search user relation links, then designs the core algorithms of these two functions. Finally, an integrative application based on user relation is realized, and this topic analyzes the drawbacks and future possibility of this application. The solution is verified by practice.