Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.

This project implements a SEITR (Susceptible, Exposed, Infected, Treated, Recovered) model for network analysis using R. The model simulates the spread of a disease through a network of individuals, allowing for various network types and parameters.

Data and code to Salihović & Estévez (forthcoming). 'Gender Bias in Medieval Inquisitions and Its Place in Shaping the Knowledge About the Heterodox'. Social Science History.