Develop the basic science of complex social networks in a quantitative way
Apply our findings to the dynamics of human behavior, and generalize to a wider range of networks, including economic, traffic, and environmental networks.
Methods and techniques based on Statistical Physics concepts
Quantitative characterization of complex social networks by analyzing a number of real-world phenomena, including: crowd behavior, search strategies, traffic flow, dynamics of human relationship networks, spread of epidemics
Dynamic patterns in other disciplines, such as Economics and Finance, and Environmental networks.
Characterize, optimize and control the structure, dynamics and flow in complex social networks
Our studies will use extensive real-world data of social nature, which will be collected in the frame of the project.