Sampling and inference for beta neutral-to-the-left models of sparse networks
Empirical evidence suggests that heavy-tailed degree distributions occurring in many real networks are well-approximated by power laws with exponents η that may take values either less than and greater than two. Models based on various forms of exchangeability are able to capture power laws with η &...
| Main Authors: | , , , |
|---|---|
| Format: | Conference item |
| Published: |
AUAI Press
2018
|