Co-evolution of social networks and continuous actor attributes

Nynke M. D. Niezink, Tom A. B. Snijders
2017 Annals of Applied Statistics  
Social networks and the attributes of the actors in these networks are not static; they may develop interdependently over time. The stochastic actororiented model allows for statistical inference on the mechanisms driving this co-evolution process. In earlier versions of this model, dynamic actor attributes are assumed to be measured on an ordinal categorical scale. We present an extension of the stochastic actor-oriented model that does away with this restriction using a stochastic
more » ... equation to model the evolution of continuous actor attributes. We estimate the parameters by a procedure based on the method of moments. The proposed method is applied to study the dynamics of a friendship network among the students at an Australian high school. In particular, we model the relationship between friendship and obesity, focusing on body mass index as a continuous co-evolving attribute.
doi:10.1214/17-aoas1037 fatcat:7ndnawxiirdhrehsw7ptjdsr2u