报告摘要：
| Probabilistic ensembles with one or more adjustable parameters
are often used to model complex networks. One of the most popular models is the exponential random graph model. We will cover network formation, large deviations, graph limits, asymptotic structure, phase transitions, nonlinear large deviations, simulations and estimations for exponential random graph models.
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