▪Multilevel network models

Network data might be collected among multiple groups, like multiple teams, multiple organizational (units).

We identify three major types: social influence models, exponential random graph models (selection), and SAOM/SIENA models for longitudinal data.

Multilevel social influence (MSI) models

Agneessens, F., & Koskinen, J. (2016). Modeling individual outcomes using a multilevel social influence (MSI) model: Individual versus team effects of trust on job satisfaction in an organisational context. Multilevel network analysis for the social sciences: Theory, methods and applications, 81-105.

Multilevel ERGMs

Agneessens, F., Trincado-Munoz, F. J., & Koskinen, J. (2023). Network formation in organizational settings: Exploring the importance of local social processes and team-level contextual variables in small groups using bayesian hierarchical ERGMs. Social Networks.

Multilevel SAOMs/SIENA

Koskinen, J., & Snijders, T. A. (2022). Multilevel longitudinal analysis of social networks. arXiv preprint arXiv:2201.12713.