Jure Leskovec : POMI 2020 Workshop


Wednesday, April 13, 2011
Location: Fisher Conference Center, Arrillaga Alumni Center

"How People Trust and Evaluate One Another in Social Media"
11:00am - 11:45am


There are many settings in which users of a social media application provide evaluations of one another. In different domains, mechanisms for evaluation allow one user to say whether he or she trusts another user, or likes the content they produced, or wants to confer special levels of authority or responsibility on them. Given the data generated by such applications, a natural goal is to develop ways of modeling the evaluations that users give to one another --- to understand why one user evaluates another favorably or unfavorably, and ultimately to predict how these evaluations will turn out.

We present models of how users evaluate one another, and show how our models can provide both explanations for surprising phenomena observed in earlier work and also frameworks for predicting future evaluations. At the heart of our approach is an analysis of the subtle effect of two factors: status and similarity. The way in which one user evaluates another is heavily influenced by the different levels of status they have in the community, and also by how similar they are in their choice of activities. We show that by taking into account the interplay of similarity and status, we can develop models of user evaluation with strong explanatory power.


Jure Leskovec is an assistant professor of Computer Science at Stanford University. His research focuses on the analysis and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. Problems he investigates are motivated by large scale data, the Web and Social Media. Jure received his PhD in Machine Learning from Carnegie Mellon University in 2008 and spent a year at Cornell University. His work received six best paper awards, won the ACM KDD cup and topped the Battle of the Sensor Networks competition.