Bayesian exponential random graph models

Comprehensive Bayesian framework for exponential random graph models using advanced computational algorithms.

Bar chart of annual CRAN downloads of the Bergm package since 2013.

Workshops

2025
INSNA Sunbelt, Paris, France
2024
INSNA Sunbelt, Edinburgh, UK
2021
EUSN, Naples, Italy

Networks 2021 (online)

2015
INSNA Sunbelt, Brighton, UK

Dev team

Alberto Caimo Alberto Caimo University College Dublin, Ireland [aut, cre]
Lampros Bouranis Lampros Bouranis Circana, Greece [aut]
Robert Krause Robert Krause Nanyang Technical University, Singapore [aut]
Isabella Gollini Isabella Gollini University College Dublin, Ireland [ctb]
Nial Friel Nial Friel University College Dublin, Ireland [ctb]

Citing Bergm

If you are using the Bergm package for research that will be published or otherwise publicly distributed, we request that you acknowledge this with the following citation:

Caimo, A., Bouranis, L., Krause, R., and Friel, N. (2022) “Statistical Network Analysis with Bergm.” Journal of Statistical Software, 104(1), 1–23. [10.18637/jss.v104.i01]

A BibTeX entry for LaTeX users is:

  @Article{Bergm,
    title = {Statistical Network Analysis with {B}ergm},
    author = {Alberto Caimo and
              Lampros Bouranis and
              Robert Krause and
              Nial Friel},
    journal = {Journal of Statistical Software},
    year = {2022},
    volume = {104},
    number = {1},
    pages = {1--23},
    url = {https://doi.org/10.18637/jss.v104.i01},
  }