SEARCH

SEARCH BY CITATION

References

  • Airoldi, E. M., Fienberg, S. E. and Xing, E. P. (2008) Mixed membership stochastic blockmodels. J. Mach. Learn. Res., 9, 19812014.
  • Besag, J. (2000) Markov Chain Monte Carlo for statistical inference. Center of Statistics and the Social Sciences, University of Washington, Seattle.
  • Browne, W. J. and Draper, D. (2000) Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models. Computnl Statist., 15, 391420.
  • Christakis, N. and Fowler, J. (2007) The spread of obesity in a large social network over 32 years. New Engl. J. Med., 357, 370379.
  • Christakis, N. and Fowler, J. (2008) The collective dynamics of smoking behavior in a large social network. New Engl. J. Med., 358, 22492258.
  • Cranmer, S. J. and Desmarais, B. A. (2011) Inferential network analysis with exponential random graph models. Polit. Anal., 6686.
  • Desmarais, B. A. and Cranmer, S. J. (2011) Forecasting the locational dynamics of transnational terrorism: a network analytic approach. InProc. Eur. Intelligence and Security Informatics Conf. New York: Institute of Electrical and Electronics Engineers Computer Society.
  • Fienberg, S. E., Meyer, M. M. and Wasserman, S. (1985) Statistical analysis of multiple sociometric relations. J. Am. Statist. Ass., 80, 5167.
  • Frank, O. and Strauss, D. (1986) Markov graphs. J. Am. Statist. Ass., 81, 832842.
  • Gelman, A., Meng, X. L. and Stern, H. (1996) Posterior predictive assessment of model fitness via realized discrepancies. Statist. Sin., 6, 733807.
  • Geman, S. and Geman, D. (1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattn Anal. Mach. Intell., 6, 721741.
  • Gilks, W. R., Richardson, S. and Spiegelhalter, D. J. (eds) (1996) Markov Chain Monte Carlo in Practice. London: Chapman and Hall.
  • Goldenberg, A., Zheng, A. X., Fienberg, S. E. and Airoldi, E. M. (2010) A survey of statistical network models. Found. Trends Mach. Learn., 2, 129233.
  • Handcock, M. S. (2000) Progress in statistical modeling of drug user and sexual networks. Center for Statistics and the Social Sciences, University of Washington, Seattle.
  • Hanneke, S. and Xing, E. P. (2007) Discrete temporal models of social networks. In Statistical Network Analysts: Models, Issues and New Directions (eds E. M. Airoldi, D. M. Blei, S. E. Fienberg, A. Goldenberg, E. P. Xing, and A. X. Zheng). Berlin: Springer.
  • Hoff, P. D. (2005) Bilinear mixed effects models for dyadic data. J. Am. Statist. Ass., 100, 286295.
  • Hoff, P. D., Raftery, A. E. and Handcock, M. S. (2002) Latent space models for social networks analysis. J. Am. Statist. Ass., 97, 10901098.
  • Holland, P. W. and Leinhardt, S. (1977) A dynamic model for Social Networks. J. Math. Sociol., 5, 520.
  • Holland, P. W. and Leinhardt, S. (1981) An exponential family of probability distributions for directed graphs (with discussion). J. Am. Statist. Ass., 76, 3365.
  • Kapferer, B. (1972) Strategy and Transaction in an African Factory. Manchester: Manchester University Press.
  • Kolaczyk, E. (2009) Statistical Analysis of Network Data: Methods and Models. New York: Springer.
  • Krivitsky, P. N. and Handcock, M. S. (2010) A separable model for dynamic networks. Carnegie Mellon University, Pittsburgh. Preprint arXiv:1011.1937v1.
  • Lambert, P. C., Sutton, A. J., Burton, P. R., Abrams, K. R. and Jones, D. R. (2005) How vague is vague?: a simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Statist. Med., 24, 24012428.
  • Leenders, R. (1995) Models for networks dynamics: a Markovian framework. J. Math. Sociol., 20, 121.
  • Meng, X. L. (1994) Posterior predictive P-values. Ann. Statist., 22, 11421160.
  • Michell, L. and Amos, A. (1997) Girls, pecking order and smoking. Socl Sci. Med., 44, 18611869.
  • Morris, M. and Kretzschmar, M. (1997) Concurrent partnerships and the spread of HIV. AIDS, 11, 641648.
  • O'Malley, A. J. and Christakis, N. A. (2011) Longitudinal analysis of large social networks: estimating the effects of health traits on changes in friendship ties. Statist. Med., 30, 950964.
  • O'Malley, A. J. and Marsden, P. V. (2008) Analysis of social networks. Hlth Serv. Outcms Res. Meth., 8, 222269.
  • Pearson, M. and West, P. (2003) Drifting smoke rings: social network analysis and Markov processes in a longitudinal study of friendship groups and risk-taking. Connections, 25, 5976.
  • Rubin, D. B. (1984) Bayesian justifiable and relevant frequency calculations for the applied statistician. Ann. Statist., 12, 11511172.
  • Snijders, T. A. B. (2002) Markov chain Monte Carlo estimation of exponential random graph models. J. Socl Struct., 3, 140.
  • Snijders, T. A. B. (2005) Models for longitudinal network data. InModels and Methods in Social Network Analysis (eds P. J. Carrington, J. Scott and S. S. Wasserman). New York: Cambridge University Press.
  • Snijders, T. A. B. (2006) Statistical methods for network dynamics. In Proc. 43rd Scientific Meet. Italian Statistical Society, Padova (edsS. R. Luchini, et al.), pp. 281296. Padova: Cooperativa Libraria Editrice Università di Padova.
  • Snijders, T. A. B., Pattison, P. E., Robbins, G. L. and Handcock, M. S. (2006) New specifications for exponential random graph models. Sociol. Methodol., 36, 99153.
  • Steglich, C. E. G., Snijders, T. A. B. and West, P. (2006) Applying SIENA: an illustrative analysis of the co-evolution of adolescents’ friendship networks, taste in music, and alcohol consumption. Methodology, 2, 4856.
  • Udry, J. R. (2003) The National Study of Adolescent Health (Add Health), Waves I & II, 1994-1996; Wave III, 2001-2002. Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.
  • Van Duijn, M. V., Snijders, T. A. B. and Zijlstra, B. (2004) P2: a random effects model with covariates for directed graphs. Statist. Neerland., 58, 234254.
  • Wasserman, S. S. (1977) Stochastic models for directed graphs. PhD Thesis. Department of Statistics, Harvard University, Boston.
  • Wasserman, S. S. and Faust, K. (1994) Social Network Analysis: Methods and Applications. New York: Cambridge University Press.
  • Wasserman, S. S. and Pattison, P. E. (1996) Logit models and logistic regression for social networks: I, an introduction to Markov Graphs and inline image. Psychometrika, 61, 401425.
  • West, P. and Sweeting, H. (1995) Background rationale and design of the West of Scotland 11-16 study. Working Paper 52. Medical Research Council Medical Sociology Unit, Glasgow.
  • Yang, Y. Y. and Yong, G. Y. (1987) Stochastic blockmodels for directed graphs. J. Am. Statist. Ass., 82, 819.
  • Zijlstra, B. J. H., Duijn, M. V. and Snijders, T. A. B. (2006) The Multilevel P2 Model: a random effects model for the analysis of multiple social networks. Methodology, 2, 4247.