Birds of a feather, or friend of a friend? using exponential random graph models to investigate adolescent social networks*

By Steven M. Goodreau, James A. Kitts, Martina Morris. Demography, 2009

748 citations recorded by the source corpus.

Subfields: Communication, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/7b9db32602e2956e273ce2084f04b24f9f022194

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Citations in the corpus

Discretion Within Constraint: Homophily and Structure in a Formal Organization (2012, neutral): “Across a range of relationship types (e.g., Lazarsfeld and Merton 1954, Fischer 1982, Marsden 1988, Ruef et al. 2003, Goodreau et al. 2009) and diverse empirical contexts (e.g., South et al. 1982, Shrum et al. 1988, Reagans 2005, Marmaros and Sacerdote 2006, Kossinets and Watts 2009), research has…”
Inferential Network Analysis with Exponential Random Graph Models (2011, background): “…probability of an edge between nodes i and j is written, where n is the number of nodes, Y cij denotes all dyads other than Y ij , K is the number of network statistics in the ERGM, and δ (Γ yk ) is the amount by which Γ yk changes when Y ij is toggled from 0 to 1 (Goodreau, Kitts and Morris 2009).”
Information Exchange in Policy Networks (2012, background): “…the number of edges from interest groups to other interest groups, the number of policy committees co-attended by tied actors, or the number of shared partners of connected actors (cf. Goodreau, Kitts, and Morris 2009). η reflects the empirical impact of a g statistic on the observed network Y.”
Beyond and Below Racial Homophily: ERG Models of a Friendship Network Documented on Facebook1 (2010, background): “toggled from zero to one, we see that the parameter hA is equivalent to the increase in the log-odds that a particular tie will be formed if the formation of this tie increases the corresponding network statistic by one (Goodreau et al. 2009).”
How Do They ‘End Up Together’? A Social Network Analysis of Self-Control, Homophily, and Adolescent Relationships (2011, background): “Recent advances in the modeling of social networks have contributed to understanding the complex mechanisms that produce outcomes such as homophily (e.g., Kossinets and Watts 2009; Goodreau et al. 2009 ) and allow for the modeling of relational data.”
Understanding network formation in strategy research: Exponential random graph models (2016, methodology): “Thus, in addition to model selection criteria such as AIC, we also employ graphical evaluations of goodness of fit to visualize the match between the predicted and observed networks in Figure 3(a, b) (Goodreau et al., 2009; Hunter, Goodreau, and Handcock, 2008a).”
Estimating Average Causal Effects Under Interference Between Units (2013, neutral): “9 The richness of these data makes Add Health a canonical dataset for methodological research related to social networks, as with Bramoulle et al. (2009), Chung et al. (2008), Goel and Salganik (2010), Goodreau et al. (2009), Goodreau (2007), Handcock et al. (2007), and Hunter et al. (2008).”
A Survey of Statistical Network Models (2009, methodology): “Inference in latent space models has been carried out via Monte Carlo Markov chain in networks with up to several thousand nodes [130].”
Social networks (2009, neutral): “Dual process-theory, as it has come to be known, involves a wide range of predictions, many of which are not relevant to our discussion The most relevant prediction for us is that actors might make decisions about whom to ask for help deliberately but also intuitively .”