Abstract
Recent advances in network data analysis has concerned the treatment of randomness, understanding higher order network interactions, and violations of vertex exchangeability. I will discuss how assumptions impact network data analysis, and what happens if we try to use standard methods in non-standard settings. I will finish with an example of real-world population scale VAT data analysis, and discuss how simplicity and complexity must be balanced for large scale practical applications.