ИСПОЛЬЗОВАНИЕ СТОХАСТИЧЕСКИХ АКТОРНО-ОРИЕНТИРОВАННЫХ МОДЕЛЕЙ ДЛЯ АНАЛИЗА КОЭВОЛЮЦИИ СЕТЕЙ И ПОВЕДЕНИЯ

Мониторинг общественного мнения: Экономические и социальные перемены. 2021. Т. 2. С. 273–285.

Dokuka S.

Human behavior depends on many factors including the social envi- ronment. Over the past decades, schol- ars have actively developed models that evaluate the impact of the environment on the individual. This article describes stochastic actor-oriented modeling (SAOM) which allows to test hypotheses about the structural evolution of social networks, as well as to analyze the co-evolution of networks and behavior in detail. The authors present theoreti- cal and methodological foundations of SAOM; specify requirements for research design and data collection; consider the specification of the model and an example of co-evolution of the network and academic achievement of students; point out limitations of the method, and suggest promising avenues for further research. The article concludes that us- ing SAOM is preferable for small social networks with low rotation, in particular, for organizational units and study groups. The authors argue that the existing stud- ies mainly consider the educational con- text and social networks of young people that does not allow to draw conclusions about the evolution of social ties in com- munities of a different type and other age groups. In addition, most of the research is based on data collected in Western de- mocracies which indicates the need to investigate a variety of samples.

Keywords: академические достижения, sociology of education, эффекты сообучения, анализ социальных сетей, social network analysis, academic achievements, stochastic actor-oriented models, peer effect, социология образования, стохастические акторно-ориен- тированные модели

Publication based on the results of: Inequality and discrimination in the digital age (2020)