Proposed a discrete temporal model family that is capable of modeling network evolution, while maintaining the flexibility of ERGMs. It also proposed such models to build upon ERGMs as much as possible.

This paper proposed to obtain a general model family, which can be used to predict the evolution of network and keep the flexibility of ERGM models at the same time. The mathematical reasoning procedure was given in the paper to illustrate the feasibility of this method. After obtained the general model, a test was given to test the accuracy of the prediction. An extension part of this paper said this model can also be used as a classifier, which is another feature of this general model