User Generate Content And Behavorial Data Analysis And Applications In SNS

Firstly, the paper summarizes the concepts, the basic theories, and the development of SNS. With further understanding of the characteristics and the functions of current SNS platform, we analyze the characteristics and functional requirements of the newly developing SNS, and design the platform structure of it additionally. This paper mainly discusses the user behavioral analysis capability with the related recommendation services, which is one of the vital functions of the newly developing SNS.The paper proposes an integrated platform, which integrated one user's data among different SNS. By doing so, we could have sufficient data resource for behavioral analysis, and multiplex or exchange user data in various SNS. In the platform, user data is divided into four aspects: user personal data, social relationship data, UGC (users generate content), and user behavioral data. Since UGC and user behavioral data have richest amount of data and quickest update frequency, we analyze the service format and prevalent data analyzing methods of them, and design their applications in SNS for further use.This paper integrates and encapsulates the various analyzing methods of UGC and user behavior data in to SNS user behavioral analysis capability. This capability opens interfaces to application developer, in order to provide better service to users. SNS user behavioral analysis capability has basic capability (content analysis module, time analysis module, and relationship analysis module) and advanced capability. Then, we implement the feed information optimizing application of SNS user behavioral analysis capabilities. And we use UCHome built SNS to complete the validation. Finally, the paper analyzes the further research and possible innovation points of the SNS user behavior analysis.