Dynamic Network Models

Abstract

Exponential random graph models, as presented in Chap. 11, allow for sophisticated and powerful modeling of network structures and relationships. Generative models of networks can be built using a wide variety of predictors, including node characteristics, dyad characteristics, local structural characteristics, and even other network relations. Substantive hypotheses can be tested with ERGM models, and estimated models can be explored with the rich simulation and goodness-of-fit tools that are provided by the ergm package.

What came first–the music or the misery? Did I listen to the music because I was miserable? Or was I miserable because I listened to the music? Do all those records turn you into a melancholy person? ( Nick Hornby , High Fidelity.)