On 12.12.2016 06:04, Peter Straka wrote: > Dear list, > > in the example on Edge layers and covariates > <https://graph-tool.skewed.de/static/doc/demos/inference/inference.html#edge-layers-and-covariates>, > blocks are fitted as follows: > > state = gt.minimize_blockmodel_dl(g, deg_corr=False, layers=True, > state_args=dict(ec=g.ep.value, > layers=False)) > > I'm trying to make sure I understand the LayeredBlockState correctly. Are > the following statements correct? > > 1. The independent layers version is used, which means that there is one > layer for every possible number of co-appearances. /This means that > number of co-appearances is treated as a categorical, rather than an > ordinal variable. / > 2. If one wanted to encourage the model to assort actors into the same > block if they have many co-appearances, the following fit would be more > appropriate: > > state = gt.minimize_blockmodel_dl(g, deg_corr=False, layers=False, > state_args=dict(eweight=g.ep.value))
Both statements are correct. Best, Tiago -- Tiago de Paula Peixoto <[email protected]>
signature.asc
Description: OpenPGP digital signature
_______________________________________________ graph-tool mailing list [email protected] https://lists.skewed.de/mailman/listinfo/graph-tool
