Diversité des approches de modélisation statistique en analyse de réseaux sociaux multiniveaux

Mathématiques et sciences humaines. Mathematics and social sciences

Brailly, Julien¹  Lazega, Emmanuel¹ 

关键词: multilevel analysis;    affiliation;    ERGM;    multilevel substructure;    social network;    stochastic network analysis;   

DOI  :  10.4000/msh.12226

学科分类：数学（综合）

来源: College de France * Ecole des Hautes Etudes en Sciences Sociales (E H E S S)

【 摘 要 】

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.

【 授权许可】

Unknown