期刊名称：International Journal of Statistics and Probability
印刷版ISSN：1927-7032
电子版ISSN：1927-7040
出版年度：2013
卷号：2
期号：4
页码：64
DOI：10.5539/ijsp.v2n4p64
出版社：Canadian Center of Science and Education
摘要：Exponential Random Graph Models (ERGMs) have been developed for fitting social network data on both static and dynamic levels. However, lack of methods with large sample asymptotic properties makes it inadequate to assess the goodness of fit of these ERGMs. Simulation-based goodness of fit plots proposed by Hunter et al. (2006) compare structured statistics of observed network with those of corresponding simulated networks. In this paper, we propose a new approach to assessing the goodness of fit of ERGMs. We demonstrate how to improve the existing graphical techniques via simulation studies. We also propose a simulation-based test statistic that will assist in model comparisons.
