Modeling Dependencies in International Relations Networks

By Peter D. Hoff, Michael D. Ward. Political Analysis, 2004

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Complex Dependencies in the Alliance Network (2012, background): “…should not be taken to deny the utility of alternative approaches, but rather reflects a desire to move away from independence assumptions completely and to directly model network effects which will be of substantive interest to international relations scholars in most empirical applications.”
Inferential Network Analysis with Exponential Random Graph Models (2011, methodology): “Some promising approaches have also been developed out of spatial statistical methods (Franzese and Hays 2006; Hoﬀ, Raftery and Handcock 2002; Hoﬀ and Ward 2004).”
Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data (2016, background): “2009), and is gaining increasing use in political science (Hoff and Ward 2004; Ward and Hoff 2007; Ward et al. 2007, 2010; Hill and Jones 2014).”
An Empirical Evaluation of Explanations for State Repression (2014, background): “See, e.g., Hathaway (2007); Linzer and Staton (2011); Rı́os-Figueroa and Staton (2014).”
MCMCpack: Markov chain Monte Carlo in R (2011, background): “The interest in Bayesian methods in the social sciences is growing, and a number of researchers are using these approaches in substantive applications dealing with: deliberative bodies (Clinton, Jackman, and Rivers 2004; Martin and Quinn 2002), economic performance (Western 1998), income dynamics (G”