# References

The works cited in this documentation, with links to find them online.
Works without a DOI link to a search for them.

- Breiger, R. L. and Pattison, P. E. (1986). Cumulated social roles: The
  duality of persons and their algebras. *Social Networks*, 8(3), 215–256.
  [doi:10.1016/0378-8733(86)90006-7](https://doi.org/10.1016/0378-8733(86)90006-7)
- Davis, A., Gardner, B. B. and Gardner, M. R. (1941). *Deep South: A Social
  Anthropological Study of Caste and Class*. University of Chicago Press;
  reissued 2022.
  [doi:10.7208/chicago/9780226817996.001.0001](https://doi.org/10.7208/chicago/9780226817996.001.0001)
- Davis, J. A. and Leinhardt, S. (1972). The structure of positive
  interpersonal relations in small groups. In J. Berger, M. Zelditch and
  B. Anderson (eds.), *Sociological Theories in Progress*, vol. 2.
  Houghton Mifflin.
  [Search](https://scholar.google.com/scholar?q=%22The+structure+of+positive+interpersonal+relations+in+small+groups%22+Davis+Leinhardt)
- Duxbury, S. W. (2023). The problem of scaling in exponential random graph
  models. *Sociological Methods & Research*, 52(2), 764–802 (online 2021).
  [doi:10.1177/0049124120986178](https://doi.org/10.1177/0049124120986178)
- Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. and
  Rubin, D. B. (2013). *Bayesian Data Analysis* (3rd ed.). Chapman and
  Hall/CRC. [doi:10.1201/b16018](https://doi.org/10.1201/b16018)
- Geyer, C. J. (1992). Practical Markov chain Monte Carlo. *Statistical
  Science*, 7(4).
  [doi:10.1214/ss/1177011137](https://doi.org/10.1214/ss/1177011137)
- Goeyvaerts, N., Santermans, E., Potter, G., Torneri, A., Van Kerckhove, K.,
  Willem, L., Aerts, M., Beutels, P. and Hens, N. (2018). Household members do
  not contact each other at random: implications for infectious disease
  modelling. *Proceedings of the Royal Society B*, 285(1893), 20182201.
  [doi:10.1098/rspb.2018.2201](https://doi.org/10.1098/rspb.2018.2201)
- Handcock, M. S. and Gile, K. J. (2010). Modeling social networks from
  sampled data. *The Annals of Applied Statistics*, 4(1), 5–25.
  [doi:10.1214/08-AOAS221](https://doi.org/10.1214/08-AOAS221)
- Hinton, G. E. (2002). Training products of experts by minimizing
  contrastive divergence. *Neural Computation*, 14(8), 1771–1800.
  [doi:10.1162/089976602760128018](https://doi.org/10.1162/089976602760128018)
- Hummel, R. M., Hunter, D. R. and Handcock, M. S. (2012). Improving
  simulation-based algorithms for fitting ERGMs. *Journal of Computational
  and Graphical Statistics*, 21(4), 920–939.
  [doi:10.1080/10618600.2012.679224](https://doi.org/10.1080/10618600.2012.679224)
- Krivitsky, P. N. (2017). Using contrastive divergence to seed Monte Carlo
  MLE for exponential-family random graph models. *Computational Statistics &
  Data Analysis*, 107, 149–161.
  [doi:10.1016/j.csda.2016.10.015](https://doi.org/10.1016/j.csda.2016.10.015)
- Krivitsky, P. N., Coletti, P. and Hens, N. (2023). A tale of two datasets:
  Representativeness and generalisability of inference for samples of
  networks. *Journal of the American Statistical Association*, 118(544),
  2213–2224.
  [doi:10.1080/01621459.2023.2242627](https://doi.org/10.1080/01621459.2023.2242627)
- Krivitsky, P. N. and Handcock, M. S. (2014). A separable model for dynamic
  networks. *Journal of the Royal Statistical Society, Series B*, 76(1),
  29–46. [doi:10.1111/rssb.12014](https://doi.org/10.1111/rssb.12014)
- Krivitsky, P. N., Handcock, M. S. and Morris, M. (2011). Adjusting for
  network size and composition effects in exponential-family random graph
  models. *Statistical Methodology*, 8(4), 319–339.
  [doi:10.1016/j.stamet.2011.01.005](https://doi.org/10.1016/j.stamet.2011.01.005)
- Lazega, E. and Snijders, T. A. B. (eds.) (2016). *Multilevel Network
  Analysis for the Social Sciences: Theory, Methods and Applications*.
  Springer. [doi:10.1007/978-3-319-24520-1](https://doi.org/10.1007/978-3-319-24520-1)
- Louis, T. A. (1982). Finding the observed information matrix when using the
  EM algorithm. *Journal of the Royal Statistical Society, Series B*, 44(2),
  226–233.
  [doi:10.1111/j.2517-6161.1982.tb01203.x](https://doi.org/10.1111/j.2517-6161.1982.tb01203.x)
- Padgett, J. F. (1994). Marriage and elite structure in Renaissance Florence,
  1282–1500. Paper delivered to the Social Science History Association.
  [Search](https://scholar.google.com/scholar?q=%22Marriage+and+elite+structure+in+Renaissance+Florence%22+Padgett);
  the published analysis of the Florentine families is Padgett, J. F. and
  Ansell, C. K. (1993), Robust action and the rise of the Medici, 1400–1434,
  *American Journal of Sociology*, 98(6), 1259–1319,
  [doi:10.1086/230190](https://doi.org/10.1086/230190).
- Resnick, M. D., Bearman, P. S., Blum, R. W., et al. (1997). Protecting
  adolescents from harm: Findings from the National Longitudinal Study on
  Adolescent Health. *JAMA*, 278(10), 823–832.
  [doi:10.1001/jama.278.10.823](https://doi.org/10.1001/jama.278.10.823)
- Sampson, S. F. (1968). *A Novitiate in a Period of Change: An Experimental
  and Case Study of Social Relationships*. PhD dissertation, Cornell
  University.
  [Search](https://scholar.google.com/scholar?q=%22A+novitiate+in+a+period+of+change%22+Sampson)
- Wang, P., Robins, G., Pattison, P. and Lazega, E. (2013). Exponential random
  graph models for multilevel networks. *Social Networks*, 35(1), 96–115.
  [doi:10.1016/j.socnet.2013.01.004](https://doi.org/10.1016/j.socnet.2013.01.004)