Abstract
This article introduces Exponential Random Graph Modeling (ERGM), a method for statistical inference in social network analysis. The following aspects of the method are explained in the text: 1) objectives, 2) model specification, 3) estimation, and 4) interpretation of the estimation results. I also provide an example case with empirical network data and show how ERGMs can be applied to examine real network data.
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