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Snijders Scientific random graph models
Random Graph Models, supplied by Snijders Scientific, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+graph+models/graph+models+p+random/pm40820875-33-53-69
Average 86 stars, based on 1 article reviews
random graph models - by Bioz Stars, 2026-11
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Article Title: Understanding Networks with Exponential-family Random Network Models
Article Snippet: The popular Exponential-family Random Graph Models (ERGMs) (Frank and Strauss, 1986; Snijders et al., 2006) though generalize the p1 model to allow dyads exhibit Markovian dependence, it can only represent the transitivity of the graph.

Article Title: A tutorial on Bayesian model averaging for exponential random graph models.
Article Snippet: See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense | 3A TUTORIAL ON BMA FOR ERGMS In this tutorial, we focus on exponential random graph models (ERGMs; Cranmer et al., 2020; Lusher et al., 2013; Robins et al., 2007; Snijders et al., 2006; Wasserman & Pattison, 1996), a widely used class of statistical models for network data.

Article Title: Neighbourhood benthic configuration reveals hidden co-occurrence social diversity.
Article Snippet: Robins G, Snijders T, Wang P, Handcock M, Pattison P. 2007 Recent developments in exponential random graph (p*) models for social networks.

Article Title: Community networks of sport and physical activity promotion: an analysis of structural properties and conditions of cooperation.
Article Snippet: Robins G, Snijders T, Wang P, Handcock M, Pattison P. Recent developments in exponential random graph (p*) models for social networks.

Article Title: Uncertainty quantification in the Bradley–Terry–Luce model
Article Snippet: The Bradley–Terry–Luce (BTL) model is a benchmark model for pairwise comparisons between individuals.. Despite recent progress on the first-order asymptotics of several popular procedures, the understanding of uncertainty quantification in the BTL model remains largely incomplete, especially when the underlying comparison graph is sparse.. In this paper, we fill this gap by focusing on two estimators that have received much recent attention: the maximum likelihood estimator (MLE) and the spectral estimator.

Article Title: Name order effects in measuring adolescent social networks using rosters
Article Snippet: This method is functionally equivalent to a dyadic-independent exponential random graph model ( Lubbers and Snijders 2007 ; Lusher et al. 2013 , p. 59; Robins et al. 2007a ).

Article Title: Supercharging Graph Transformers with Advective Diffusion
Article Snippet: We present the causal mechanism of graph data generation in Fig. 2 as a hypothesis, inspired by the graph limits (Lovász & Szegedy, 2006; Medvedev, 2014) and random graph models (Snijders & Nowicki, 1997).



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