Association for Computing Machinery
Online social networks have become important for networking, communication, sharing, and discovery. A considerable challenge these networks face is the fact that an online social network is partially observed because two individuals might know each other, but may not have established a connection on the site. Therefore, link prediction and recommendations are important tasks for any online social network. In this paper, the authors address the problem of computing edge affinity between two users on a social network, based on the users belonging to organizations such as companies, schools, and online groups.