The Isaac Newton Institute will be hosting a 6 month programme on the Theoretical Foundations for Statistical Network Analysis
The core of this 6-month programme is understanding and quantifying mathematical structure in network models. Networks are ubiquitous in modern science and society. In fact, whenever we observe entities and relationships between them, we have network data. The behaviour of almost all networks, natural or engineered, physical or information-based, involves a strong component of randomness and is typically not fully or directly observed. Considerable open challenges remain in proving properties both of generative mechanisms for such networks, as well as of methods for inference. This motivates the development of theoretical foundations for statistical network analysis.
The programme is detailed at: https://www.newton.ac.uk/event/sna
The (as of yet) invited participants are detailed at: https://www.newton.ac.uk/event/sna/participants
The forthcoming workshops will be detailed at: https://www.newton.ac.uk/event/sna/workshops
Kind regards
Bela Bollobas, Stephen Fienberg, Sofia Olhede, Patrick Wolfe and Bin Yu
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