The increasing availability of massive data on users' online behavior presents exciting opportunities for business analytics. In particular, if we could model the distributions of interests of visitors to webpages (or websites), we could apply the result to applications including site...

This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding good audiences for brand advertising (as opposed to click maximizing, for example). Targeting social-network...

This paper demonstrates that quot;social network collaborative filteringquot; (SNCF), wherein user-selected like-minded alters are used to make predictions, can rival traditional user-to-user collaborative filtering (CF) in predictive accuracy. Us-ing a unique data set from an online community...

We investigate the hypothesis: those consumers who have communicated with a customer of aparticular service have increased likelihood of adopting the service. We survey the diverseliterature on such quot;viral marketing,quot; providing a categorization of the specific research questionsasked,...

Digital technologies have made networks ubiquitous. A growing body of research is examining these networks to gain a better understanding of how firms interact with their consumers, how people interact with each other, and how current and future digital artifacts will continue to alter business...