Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks
By Garry Robins, P. Pattison, Peng Wang. Soc. Networks, 2009
320 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/e3d5459aa00ad74d3395128ac582b7055ba178e1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Peng Wang
- Garry Robins
- Tom A. B. Snijders
- P. Pattison
- Emmanuel Lazega
- Emily Cox Pahnke
- Ji Youn Kim
- Michael D. Howard
In Statistical and Nonlinear Physics
- Garry Robins
- Peng Wang
- P. Pattison
- Tom A. B. Snijders
- Emmanuel Lazega
- Emily Cox Pahnke
- Ji Youn Kim
- Michael D. Howard
Citations in the corpus
- Manual for RSiena (2011, background): “shared popularity sharedPop, snet i10(x) = 1 4 ∑ j,k,h;all different xij xhj xik xhk; this is like a 4-cycle but in a special orientation, like the 2PU (‘two-paths up’) effect (for k=2) for directed ERGMs proposed in Robins et al. (2009). Therefore the statistic is called the ‘number of 2-2PU’ confi”
- Exponential random graph models for multilevel networks (2013, methodology): “We can apply the current ERGM specifications for one-mode networks (Snijders et al., 2006; Robins et al., 2007b, 2009) to look at within level network structures, given other effects in the model. zQ (x) are the network statistics for structural effects within the bipartite affiliation network.”
- Culture, Cognition, and Collaborative Networks in Organizations (2011, background): “…(for further information on the guidelines for fitting ERGMs, see Morris, Handcock, and Hunter 2008; O’Malley and Marsden 2008; Robins et al. 2007; Robins, Pattison, and Wang 2009; Snijders et al. 2006).13 (See Part B in the online supplement for further background about ERGMs and details of the…”
- Understanding network formation in strategy research: Exponential random graph models (2016, methodology): “A number of subsequent advances, including adaptations for local “neighborhood” network structures (Pattison and Robins, 2002) and methods for overcoming the problem of model degeneracy (Hunter and Handcock, 2006; Robins et al., 2009; Snijders et al., 2006) have helped develop ERGMs into a viable to”
- Statistical Models for Social Networks (2011, background): “Schweinberger and Snijders (2003) proposed a latent ultrametric model for nondirected graphs as a stochastic implementation of Freeman’s (1993) idea of ultrametric spaces for representing networks, and of Pattison and Robins’ (2002) concept of social settings.”