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Alex,

I will try to use both statnet and igraph together again.  My problem was not in using ergm, however.  My issues occurred when I was trying to extract a subgraph.  I have a large network consisting of 5K+ nodes and organized into groups of 30-70 nodes each.  I'm investigating collaboration change in one group as they move from a closed office to open plan facility.  I can write scripts that work when either igraph or statnet are loaded, but when both are loaded, I have difficulty with extracting a subnet, converting from the network to graph data structure, and with visualization using plot (I imagine I need to use the actual package command ie gplot).

I think if I knew how to convert between the network and graph data structures, I'd be able to leverage both packages.

Thanks.

Ian McCulloh

Sent from my iPhone

On Jul 13, 2015, at 7:22 AM, Alex Stivala <[log in to unmask]> wrote:

Ian,

I use statnet and igraph at the same time, and have found the R intergraph package by Michal Bojanowski:

http://cran.r-project.org/web/packages/intergraph/index.html

to be very useful for converting between the igraph and statnet network formats.

For example:

library(igraph)
library(statnet)
library(intergraph)

netscience <- nexus.get('netscience')
nNetscience <- asNetwork(netscience)

system.time(nsmodel <- ergm(nNetscience ~ edges + altkstar(2.0, fixed=TRUE) +  gwesp(log(2.0), fixed=TRUE) + gwdsp(log(2.0), fixed=TRUE), control=control.ergm(main.method="Stepping", MCMC.burnin=1e+6,MCMC.interval=1e+04,MCMC.samplesize=1e+05)))

summary(nsmodel)

Note sure I can help with your other particular questions, I prefer to use igraph for plotting (where it is relatively easy to do things like your question 3) and computing various statistics (question 1), I use statnet primarily for ergm.

Regards,
Alex..


On Mon, Jul 13, 2015 at 3:10 PM, Ian McCulloh <[log in to unmask]> wrote:
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Hello,

I have noticed some compatibility issues when I load igraph and statnet into R at the same time.  I'm preferring to use statnet because of ergms.  I'm hoping I can get a little help with the following:

1. How do you calculate connectedness, hierarchy, krackhardt efficiency, and least upper boundedness using the network package, SNA, or any of the statnet dependencies?

2. Alternatively, is there an easier way to convert data formats between the network structure of the network package and the graph structure of the igraph package?

3. How do you size nodes by an attribute measure such as centrality using the network package?

Thanks,

Ian McCulloh

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