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Title Diversity of statistical modeling approaches in multilevel social network analysis
Author BRAILLY Julien, LAZEGA Emmanuel
Keywords Affiliation, ERGM, Multilevel analysis, Multilevel substructure, Social network, Stochastic network analysis
Topic None
Abstract This article presents some different statistical approaches for multilevel network analysis including the multilevel-p2 models for egocentric network data analysis and the Exponential Random Graph Models (ERGMs) for neo-structural multilevel data. First, we study the stochastic models based on dependence assumptions between dyads, including a hierarchical approach using jointly different networks studies. After presenting the ERGMs, we investigate how multilevel dependence may be introduced in them. We conclude then by the Robins and Wang formalization [2010] which seems to be the most successful attempt to treat the dependencies between the two partially nested networks of different levels.
Number 198, Summer 2012
Language   French
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