Consider a mode with non-hierarchical inference

[jnothman]

Quoting Eduardo

Control over the hierarchy:

The non-hierarchical model we considered in our paper is obtained
calling gt.minimize_blockmodel_dl instead of
gt.minimize_nested_blockmodel_dl.

Instead of a set of solutions in different levels of the hierarchy, we
only obtain one solution. We would have to adapt the 'get_groups'
function in the following way:
- now, the solution of the hierarchical model (state) is projected onto
a given level in the hierachy (state_l)
- if we use the non-hierarchical model, we would skip the projection-part
We could also set the upper and lower limit for the total number of groups.
The advantage of this would be to have more control over the number of
groups and to not have to decide about which level in the hierarchy.
However, the main advantage of the hierarchical model is that it
provides a better prior increasing the resolution of small clusters
(keyword: 'resolution limit' in community detection).