REFERENCES
- Almquist, Z. W., & Butts, C. T. (2014). Logistic network regression for scalable analysis of networks with joint edge/vertex dynamics. Sociological Methodology, 44, 273–321.
- Butts, C. T. (2011). Bernoulli graph bounds for general random graphs. Sociological Methodology, 41, 299–345.
- Goodreau, S. M., Kitts, J. A., & Morris, M. (2009). Birds of a feather, or friend of a friend?: Using exponential random graph models to investigate adolescent social networks. Demography, 46, 103–125.
- Hunter, D. R., & Handcock, M. S. (2006). Inference in curved exponential family models for networks. Journal of Computational and Graphical Statistics, 15, 565–583.
- Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). ergm: A package to fit, simulate and diagnose exponential-family models for networks. Journal of Statistical Software, 24(3), 1–29.
- Krivitsky, P. N., Handcock, M. S., & Morris, M. (2011). Adjusting for network size and composition effects in exponential-family random graph models. Statistical Methodology, 8, 319–339.
- Leskovec, J., Kleinberg, J., & Faloutsos, C. (2007). Graph evolution: Densification and shrinking diameters. ACM Transactions on Knowledge Discovery from Data, 1(1). doi:10.1145/1217299.1217301
- Lubbers, M. J., & Snijders, T. A. B. (2007). A comparison of various approaches to the exponential random graph model: a reanalysis of 102 student networks in school classes. Social Networks, 29, 489–507.
- Mayhew, B. H., & Levinger, R. L. (1976). Size and density of interaction in human aggregates. American Journal of Sociology, 82, 86–110.
- Robins, G. L., & Morris, M. (2007). Advances in exponential random graph (p*) models. Social Networks, 29, 169–172.
- Robins, G. L., & Pattison, P. E. (2005). Interdependencies and social processes: Dependence graphs and generalized dependence structures. In P. J. Carrington J. Scott & S. Wasserman (Eds.), Models and methods in social network analysis (pp. 192–214). Cambridge, UK: Cambridge University Press.
- Wang, P., Robins, G., & Pattison, P. (2009). PNet: Program for the simulation and estimation of exponential random graph (p*) models [Electronic data file]. Retrieved from http://sna.unimelb.edu.au/PNet
- Wasserman, S., & Robins, G. L. (2005). An introduction to random graphs, dependence graphs, and p*. In P. J. Carrington J. Scott & S. Wasserman (Eds.), Models and methods in social network analysis (pp. 148–161). Cambridge, UK: Cambridge University Press.