rtist
Usual glm is formulated for two-parameter exponential family. Negative binomial has only one parameter. So there is another one that is fixed at a constant or free to change. If you allow it to change, it increases the flexibility and variability, i.e. over-dispersion. Actually, overdispersed negative binomial is no longer negative binomial. It is called so for their great similarity in glm settings.