ABSTRACT

In the model we define and analyse a model for a (growing) population in 
which a social network evolves: individuals create new connections and 
old connections disappear randomly in time. We also study what might happen 
if an infectious disease is introduced into the community and show that 
three different behaviors may happen: the epidemic dies out, the epidemic 
grows but slower than the community grows, or it grows faster and an endemic 
equilibrium appears. Joint work with T Turova and P Trapman.