Cookbook guides#
Contents:
- Inferring modular network structure
- Background: Nonparametric statistical inference
- The stochastic block model (SBM)
- Inferring the best partition
- Model selection
- Sampling from the posterior distribution
- Model class selection
- Edge weights and covariates
- Layered networks
- Assortative community structure
- Ordered community structure
- References
- Uncertain network reconstruction
- Edge prediction as binary classification
- References
- Network reconstruction from dynamics and behavior
- Animations with graph-tool
- Integration with matplotlib
- Writing extensions in C++