The U.S. Air Force Research Laboratory awarded a $2,373,651 Project Grant under the Air Force Defense Research Sciences Program (CFDA 12.800) to the Regents of the University of Michigan - Office of Research and Sponsored Projects Division (University of Michigan) to conduct research on "Understanding Social Network-Transcendent Online/Offline Behavioral Dynamics: From Data to Models to Prediction." The key objectives are to develop new network alignment models, semi-supervised learning methods, and multi-scale opinion dynamics models to analyze the interplay between online and offline social networks and predict conditions that trigger behavioral cascades.
The University of Michigan has issued two related sub-grants to the University of Illinois and Princeton University to collaborate on specific tasks. The University of Illinois is focusing on developing new multi-scale, multi-network opinion dynamics models and cascade centrality measures. Princeton University is working to generalize an existing nonlinear opinion dynamics model and derive conditions for predicting activity cascades across online and offline networks. This research aims to expand fundamental knowledge on socio-technical systems and enable improved forecasting of social spreading dynamics.
Generated 7/16/24, 6:14 AM