International Joint Conferences on Artificial Intelligence (IJCAI)
In this paper, they investigate the Bidirectional Mutual Interaction (BMI) between users' activities and user-user relationships on social networking sites. They analyze and study the fundamental mechanism that drives the characteristics and dynamics of BMI is the underlying social influence. They make an attempt at a unified probabilistic approach, called Joint Activity and Relation (JAR), for modeling and predicting users' activities and user-user relationships simultaneously in a single coherent framework. Instead of incorporating social influence in an ad hoc manner, they show that social influence can be captured quantitatively.