Koskinen Johan, Snijders Tom A B
University of Stockholm, Stockholm, Sweden.
University of Melbourne, Melbourne, Australia.
J R Stat Soc Ser A Stat Soc. 2023 Jan 23;186(3):376-400. doi: 10.1093/jrsssa/qnac009. eCollection 2023 Jul.
Stochastic actor-oriented models (SAOMs) are a modelling framework for analysing network dynamics using network panel data. This paper extends the SAOM to the analysis of multilevel network panels through a random coefficient model, estimated with a Bayesian approach. The proposed model allows testing theories about network dynamics, social influence, and interdependence of multiple networks. It is illustrated by a study of the dynamic interdependence of friendship networks and minor delinquency. Data were available for 126 classrooms in the first year of secondary school, of which 82 were used, containing relatively few missing data points and having not too much network turnover.
随机面向行动者模型（SAOMs）是一种使用网络面板数据来分析网络动态的建模框架。本文通过一个随机系数模型将SAOM扩展到多层次网络面板分析，该模型采用贝叶斯方法进行估计。所提出的模型允许检验关于网络动态、社会影响以及多个网络相互依存关系的理论。通过一项关于友谊网络与轻微犯罪动态相互依存关系的研究对此进行了说明。数据来自中学一年级的126个班级，其中82个班级的数据被使用，这些数据包含相对较少的缺失数据点且网络更替不多。
