Group based trajectories of network formation and dynamics

In this paper, we propose the application of a semi-parametric statistical methodology called Group-Based Developmental Trajectory Analysis to studying the dynamics of social networks. We begin with a discussion of theoretical problems in network analysis that may benefit from this approach. Next, we describe the methodology and how it can be applied to dyadic network data as well as aggregated node level data. We then demonstrate the methodology by analyzing the Newcomb Fraternity and the van de Bunt student data sets. Finally, we conclude with a discussion of potential directions for further research.

► In this paper, we propose the application of a semi-parametric statistical methodology called Group-Based Developmental Trajectory Analysis to studying the dynamics of social networks. ► We discuss the theoretical problems in network analysis that may benefit from this approach. ► We describe the methodology and how it can be applied to dyadic network data as well as aggregated node level data. ► We demonstrate the methodology by analyzing the Newcomb Fraternity and van de Bunt student data sets.