论文标题
社交网络的多层次纵向分析
Multilevel Longitudinal Analysis of Social Networks
论文作者
论文摘要
随机参与者的模型（SAOM）是一种广泛应用的建模框架，用于使用网络面板数据分析网络动力学。它们已被扩展以解决多个网络以及网络和行为的共同发展。本文通过贝叶斯方法估计的随机系数多级模型将SAOM扩展到对多个网络面板的分析。这是通过对友谊和较小的犯罪的动态相互依赖性的研究来说明的，这是由一模式和两模式网络组合来代表的，在中学的第一年中，使用了81个学校课程的样本。
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.
