Modeling Change in Networks
Published in Network Psychometrics with R, 2022
Recommended citation: Haslbeck, J. M.B, Ryan, O., van der Maas, H. L., & Waldorp, L. J. Modeling Change in Networks. In A.M Isvoranu, S. Epskamp, L.J. Waldorp and D. Borsboom (eds.) Network Psychometrics with R (pp. 193-209). Routledge, New York https://link.springer.com/chapter/10.1007/978-3-319-77219-6_2
This chapter discusses time-varying network models, which allow for network models with parameters that change across time. These models are relevant when one is interested in how individuals change across time. The chapter introduces the reader to time-varying models and discusses various methods to estimate them, which make different assumptions about the true time-varying nature of parameters. Finally, the chapter illustrates one of the methods by fitting a time-varying Gaussian graphical model (GGM) to a time series of mood related measurements.