Introduction to Random Boolean Networks Gershenson 2004
From enfascination
RBNs are a tool for understanding dynamics on networks, introduced by Kaufman. Carlos introduces in this paper the main results and than the main variations on the basic RBN model. he then creates a classification full of ARBNs DARBNs and DGARBNs. I don't really knw the role of these elaborations in RBN work, so I can't judge the utility of the classification. With my interest, the beginning and end of them is their use in understanding how topology constrains dynamics.