Design And Implementation Of Mobile Social Application System Based On IOS Platform

As the development and improvement of mobile network, more and more people tend to access information and service via mobile devices, including the ascendant social networking service. This paper proposes a solution for a real-world business program which belongs to Fudan University and Shanghai Media Group, while involves in broadcasting technology research in the era of mobile Internet, new mobile social network model analysis and design, and the application of the mobile application data analysis technology to tuning mobile client interaction design.The commercial system, which is developed in this paper according to the requirements from SMG, has experienced user analysis, market analysis, product positioning with high quality, as well as builds a new social network model based on circles of organization. This social model has a meaningful exploration to combine Mobile SNS with traditional broadcasting, while broadcasting brings natural users and contents into SNS, SNS will greatly improve the interaction of broadcasting.Further, based on the social model and system requirements, this paper completed the system architecture design, which is divided into three parts of the server, mobile clients and network interaction layer protocol. Then loosely decouples the system into different functional modules which achieves different functions respectively. Especially during the mobile client interaction design, this paper applied the mobile data analysis techniques to tuning, which is a bold and meaningful exploration. Then, this paper used a push system of commodity information as an example, talked about the key points of technology and the solution to the problems. Then we tested and analyzed the system to prove the practicability and significance.Then, the paper gave the core technology realization of the system. Finally built up and live a real-world commercial iOS mobile App system.At last, the paper gave a summarization and outlook of the application of mobile data analysis technology to pricing and tuning the social network model and web data cache strategy after collecting large-scale user data.