The Isaac Newton Institute at Cambridge University hosts themed programmes on mathematics and mathematical sciences with a wide range of application. As a part of their series on social network analysis, Dr. Krivitsky was invited to present at a workshop on dynamic networks — networks that evolve over time.

Dr. Krivitsky spoke about what to do when you don’t get to observe the network directly, but rather from the point of view of just each individual in the network. Is statistical inference for whole network models even possible? It turns out that for exponential-family random graph models, it is.