[igraph] Generate graph with a priori community information

[Gang Su]

Dear developers,

I was wondering whether it's possible to generate a graph with a-priori 
community information(known clustering).
Here's a link:
http://prola.aps.org/pdf/PRE/v69/i2/e026113

Newman has implemented a simple 4 group method, with defined in group 
edge density(p-in) and out edge density(p-out).

However, for real life data, the degree distribution may follow certain 
patterns, such as power-law distribution.

My idea is is it possible to generate a graph, with defined clustering, 
and possible follow a defined degree distribution and cluster size 
distribution as well?

For example, we may generate a graph with degree distribution alpha = 
1.5 and cluster size follow a gamma distribution..or normal distribution.

I have doing literature digging right now but i haven't found a good 
solution yet.

Thanks!

Gang