“…commonly called the p* class of models (Frank and Strauss, 1986; Pattison and Wasserman, 1999; Robins et al., 1999; Wasserman and Pattison, 1996). These probability models for networks on a given set of actors allow generalization beyond the restrictive dyadic independence assumption of the earlier p1 model class (Holland and Leinhardt, 1981). Accordingly, they permit models to be built from a more realistic construal of the structural foundations of social behavior.”

References

Robins, G., Pattison, P., Kalish, Y., Lusher, D. 2007. An introduction to exponential random graph (p*) models for social networks. Social Networks 29(2):173–191. https://www.bebr.ufl.edu/sites/default/files/An%20introduction%20to%20exponential%20random%20graph%20models.pdf