报告题目：

Exponential Random Graph Models (II)

报 告 人：

Lingjiong Zhu (Assistant Professor，Florida State University)

报告时间：

2018年06月21日 16:00--17:00

报告地点：

理学院东北楼四楼报告厅（404）

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.