There is an increasing attention in IS to be able to predict outcomes using search frequency on popular portals. This growing literature focuses on revealing demand patterns of individual assets (e.g., products, stocks, services). However, users typically search many different assets together...

Indirect reciprocity is an important factor that motivates individual contributions in social networks. However, prior studies of indirect reciprocity are often limited to a snapshot view of individual interactions in social environments. This paper analyzes indirect reciprocity from a dynamic...

For social networking platforms like Facebook, understanding the peer effects on it can be valuable to many applications, such as designing efficient advertisements with social endorsement. Therefore, we propose a statistical methodology that provides such understanding. These platforms contain...