Pragmatic studies of diffusion in social networks

Abstract Social networks enhance the appearance of community tools based on web applications that provide a reliable connection to the shared information effectively. Owing to the immense growth of the social network graph, the voluminous data including productive, and media contents cannot be easily diffused to summarize the social relations. Thus, this chapter covers the major issues of information diffusion and content summarization in the social networks. The former issue is a cognitive process that infers diffusion factors such as sentiments, behavior substances, contracts, patterns, and technologic courses from individual to individual over a community network. From the study analysis, the technical strategies such as information diffusion and network enhancement have thoroughly been learned. Above all, a comprehensive study is demonstrated to summarize the group semantic related to the subjects.