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 <tiago@skewed.de>
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