User Behavior Analysis Based On Social Network Service

Recently, the booming social networking service attracts huge users in the world and SNS websites are becoming information platforms with huge influence. Research on user behavior and laws of information dissemination helps companies to provide better services, products and more effective online marketing solutions, also it provides theoretical basis for public authorities to implement reasonable network consensus monitoring and intervention.. Based on RenRen.com, a domestic leading SNS website, this paper summarized all kinds of user behavior in SNS and drew a map of them, explored methods of mining data from SNS websites. Then the paper analysed user sample collected from the website and proposed an influence model of user in the SNS.First of all, the paper discussed the status of both SNS and relative research, analysed the difficulties in research and presented related theoretical basis.In succession, the paper explored methods to obtain user data from SNS, successfully solved the problem of crawling data from Ajax-driven web pages and achieved deep acquisition of user behavior data. Subsequently this paper analysed user behavior and information dissemination based on the sample data, implemented data visualization using Fruchterman Reingold algorithm, got topological graphs of user relationships, and concluded user behavior rules in SNS after thorough analysis.Whereafter, this paper proposed an influence model of users in SNS, acquired explicit user influence calculation formula and verified it and thereafter implemented error analysis on it.In the end, a roundly summary of the paper and work was given and direction for further study and promotion was pointed out.