Survey of Social Influence Analysis
Swati A. Adhav · 2014
Abstract- Social media networks is becoming popular these days, where user interacts with each other to form social networks. Social media has revolutionized the way people share and access information. The photo sharing websites include Flicker, Picasa, YouTube support users to create, annotate, share, and comment on Media data. The user’s social tagging includes metadata in the form of keywords that reflects user’s preference over photos and tagging can be better utilized to mine the user’s preference. It explicitly model user interaction and social relations in the tag generation process. It propose a regularized hypergraph learning solution to refine the correlations among user, image, tag and other metadata. While the traditional social tag analysis work focus on analyzing the image tag binary correlation, taking user factor and metadata into consideration shows superior performance in image tag refinement task.