Current models in network science only represent short time spans, relative to the centuries-long perspectives of archaeology and history. We will develop models whose simulated outputs can be formally compared at different temporal intervals with social network structures derived from archaeological and historical sources, including uncertainty quantification of these fragmentary sources (using Bayesian and Monte Carlo methods).

We will apply the developed methods of uncertainty quantification in our empirical studies.