Degree-based network models

@inproceedings{Olhede2012DegreebasedNM,
  title={Degree-based network models},
  author={Sofia C. Olhede and Patrick J. Wolfe},
  year={2012}
}
We derive the sampling properties of random networks based on weights whose pairwise products parameterize independent Bernoulli trials. This enables an understanding of many degree-based network models, in which the structure of realized networks is governed by properties of their degree sequences. We provide exact results and large-sample approximations for power-law networks and other more general forms. This enables us to quantify sampling variability both within and across network… CONTINUE READING