Thank you Chris

It works good!


=================================
Dr. Manuel J.  Zetina-Rejón
Interdisciplinary Center of Marine Sciences National Polytechnic
Lab. of Dynamics & Management of Aquatic Ecosystems
Av. Instituto Politénico Nacional S/N Col. Playa Palo de Sta. Rita La Paz, BCS, 
México
CP 23096
Tel. +52 (612) 1234658 Ext. 82452
Fax. +52(612) 1225322
http://www.cicimar.ipn.mx

REFERENCES
http://scholar.google.com.mx/citations?user=Whcz9wUAAAAJ&hl=es
=================================

El 18/06/2015, a las 10:48, Chris Watson escribió:

> If you're using R, you can do something like this: (assuming "comm" is the 
> community membership vector)
> 
> edges1 <- E(g)[which(comm == 1) %--% which(comm == 1)]
> 
> That should give you only edges that connect vertices in community #1. You 
> can apply to all others in a loop, using *apply, etc.
> 
> On Thu, Jun 18, 2015 at 12:04 PM, Manuel Zetina-Rejón <[email protected]> 
> wrote:
> I'm stuck in how to index all edges between communities in order to sum 
> weight attribute per communitie to express in relation to total weight of 
> edges.
> 
> Let me say I identified communities in a network, then I identify 
> memberships. I wonder how to index only edges in a community i order to sum 
> the weights of them. I've found this like the inverse of crossing() function.
> 
> Any help?
> 
> Thank you
> 
> Manuel
> =================================
> Dr. Manuel J.  Zetina-Rejón
> Interdisciplinary Center of Marine Sciences National Polytechnic
> Lab. of Dynamics & Management of Aquatic Ecosystems
> Av. Instituto Politénico Nacional S/N Col. Playa Palo de Sta. Rita La Paz, 
> BCS, México
> CP 23096
> Tel. +52 (612) 1234658 Ext. 82452
> Fax. +52(612) 1225322
> http://www.cicimar.ipn.mx
> 
> REFERENCES
> http://scholar.google.com.mx/citations?user=Whcz9wUAAAAJ&hl=es
> =================================
> 
> 
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