Stochastic actor-oriented models (SAOM) are a broadly applied modelling framework for analysing network dynamics using network panel data. They have been extended to address co-evolution of multiple networks as well as networks and behaviour. This paper extends the SAOM to the analysis of multiple network panels through a random coefficient multilevel model, estimated with a Bayesian approach. This is illustrated by a study of the dynamic interdependence of friendship and minor delinquency, represented by the combination of a one-mode and a two-mode network, using a sample of 81 school classes in the first year of secondary school.
翻译:以实实在在的行动者为主的模式(SAOM)是使用网络小组数据分析网络动态的广泛应用的模型框架,已加以扩展,以处理多个网络以及网络和行为的共同演变,本文件将SAOM扩展至通过随机系数多层次模型对多个网络小组的分析,该模型采用巴耶斯方法估算,对友谊和轻微犯罪之间的动态相互依存性进行了研究,以单一模式和双模式网络相结合为代表,在中学第一年使用81个学校班的抽样,说明了这一点。