You are here

Social: Influence Modeling

The goal of this project is to learn how people inside of large organizations influence each other, and to track the flow of influence throughout an organization. Relationships can be modeled as graphs, with edges indicating the degree of influence. Weights are learned from a variety of data sources, including personal communication and data gathered from sensors about face-to-face interaction. In large organizations, there can be billions of pieces of information that need to be incorporated into this influence graph, and the calculations to track influence throughout the graph are not readily expressed in existing query processing or database systems.
Investigators: