Network models are widely used to represent relations between interacting units or actors. Network data often exhibit transitivity, meaning that two actors that have ties to a third actor are more likely to be tied than actors that do not, homophily …
The most promising class of statistical models for expressing structural properties of social networks observed at one moment in time is the class of exponential random graph models (ERGMs), also known as p* models. The strong point of these models …
The most promising class of statistical models for expressing structural properties of social networks is the class of Exponential Random Graph Models (ERGMs), also known as $p^*$ models. The strong point of these models is that they can represent …