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You might consider ergm or hergm.  ERGMs allow for modeling node attribute 
based mixing patterns and explicit configuration patterns (like triadic 
effects) that lead to clustering based on observables.  HERGMs add to this 
the ability to model latent clustering -- so called "second-generation" 
models that combine observed and latent feature modeling.

hth,
Martina

On Wed, 7 Jun 2017, Sebastian Haunss wrote:

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>
> Dear network researchers,
>
> I'm looking for an R package that implements community detection/clustering for node attributed graphs. Does anyone know whether such a package exists? I would very much appreciate any hints to packages or scripts that combine relational and node attributes of a network in order to determine clusters or communities.
>
> Kind regards
> Sebastian
>
> -- 
>
> PD Dr. Sebastian Haunss
> Universität Bremen | SOCIUM - Forschungszentrum Ungleichheit und Sozialpolitik
> Mary-Somerville-Str. 7, 28359 Bremen
> Telefon: +49 421 218-58572 | Web: shaunss.ipgovernance.eu | PGP Key ID: 78732002
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