  We consider bootstrap percolation and diffusion in sparse random graphs with
fixed degrees, constructed by configuration model. Every node has two states:
it is either active or inactive. We assume that to each node is assigned a
nonnegative (integer) threshold. The diffusion process is initiated by a subset
of nodes with threshold zero which consists of initially activated nodes,
whereas every other node is inactive. Subsequently, in each round, if an
inactive node with threshold $\theta$ has at least $\theta$ of its neighbours
activated, then it also becomes active and remains so forever. This is repeated
until no more nodes become activated. The main result of this paper provides a
central limit theorem for the final size of activated nodes. Namely, under
suitable assumptions on the degree and threshold distributions, we show that
the final size of activated nodes has asymptotically Gaussian fluctuations.
