Video Playback Quality Optimization In Social Network

In recent years, increasingly put into practice with the new concept of Web2.0, Internet, social networking as one of the emerging, practical dating model, dependent on its authenticity, stability and other characteristics of users of all ages in the network activity play an increasingly important role. The social network is a network platform in real interpersonal relationships on the basis of existence, as the reality of social groups on the Internet exchange tool. Social networking is the online expansions of the real activities which are very different from the traditional virtual network. Traditional virtual network from the social reality, the structure is relatively disordered, chaotic, and social networks as a subset of the real interpersonal network, also has some of the characteristics of the network is feasible, it is based so we believe that research on the social networking this has important theoretical significance for promoting the further development of the social networking. On this basis, according to the unique structural features of social networking, community-based overlay network structure identification algorithm (PEOC). Major figure on the basis of the algorithm is the social network structure where are a lot of overlap star sub graphs. Using this feature, we propose efficient and accurate improved algorithm. Secondly, the extracted based on the scheduling of video of the video block data transfer program, scheduling video source video processing by a specific algorithm and a data format for easy transfer in social networks. Adaptive control transfer mechanism through a specific network to achieve good results. Finally, in order to verify the effectiveness of the method, we design and realize the online network video sharing system. The system that extracts the social network community features for video viewing quality has significantly improved.