The proposed research, by leveraging data, develops novel methods to study how the patterns of human influence and relationship may impact their productivity. We use graph theory, NLP, and convex optimization to extract information from communication logs of individuals in financial and social systems. In this project, we build upon theories from sociology, namely structural balance theory—which describes the dynamics that govern the sentiment of interpersonal relationships—and assess the impact on stock traders' profitability.
Past Research Projects
For more information on the lab's previous research projects, please see our publication page.