Continuous time graph processes with known ERGM equilibria: contextual review, extensions, and synthesis

Graph processes that unfold in continuous time are of obvious theoretical and practical interest. Particularly useful those whose long-term behavior converges to a graph distribution known form. Here, we review some the conditions for such convergence, provide examples novel and/or do so. These include subfamilies well-known stochastic actor-oriented models, as well continuum extensions temporal separable exponential family random models. We also comment on related threads broader work network dynamics, which additional context case.