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Characterizing Agents' Interactions in Networks

Monday, May 13, 2019 - 10:00am

Many large networks emerge from the interactions of individual agents. Online social networks, gene regulatory networks, and the human brain are some important examples. This talk will discuss a framework using probabilistic graphical models forĀ  analyzing observational time-series to identify and characterize the local interactions that underlie the complex, global system dynamics.