Exponential-family random graph models for valued networks.

  title={Exponential-family random graph models for valued networks.},
  author={Pavel N. Krivitsky},
  journal={Electronic journal of statistics},
Exponential-family random graph models (ERGMs) provide a principled and flexible way to model and simulate features common in social networks, such as propensities for homophily, mutuality, and friend-of-a-friend triad closure, through choice of model terms (sufficient statistics). However, those ERGMs modeling the more complex features have, to date, been limited to binary data: presence or absence of ties. Thus, analysis of valued networks, such as those where counts, measurements, or ranks… CONTINUE READING
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