Longitudinal Network Modelling
Tom Snijders (University of Oxford, UK / University of Groningen, Netherlands)
Social networks are dynamic by nature. Network dynamics are important for domains ranging from friendship networks to, for example, inter-organisational networks. Ties can be established and can be terminated; also there may be changes in the node set. The study of network dynamics sheds light on the underlying micro-mechanisms that induce the evolution of social network structures on the macro level. It also is important for empirically studying mechanisms of social influence, among others.
This session welcomes both methodological and empirical contributions regarding the statistical modelling of social network dynamics.