Re: [igraph] Evaluating the functional significance of greedy NG communities in a network

[Tamás Nepusz]

Hi,  

> Would it make sense to do the following: for each community, get all the  
> functional scores for of all its interacting pairs. Then get the same  
> number of interacting pairs observed in the community, but at random  
> from the network. The run a Mann–Whitney U between the two vectors of  
> scores.

How about this one: get all the functional scores for all the interacting pairs 
_within_ the community, then get the functional scores for all the interacting 
pairs for which one member is within the community and the other is outside, 
and then run a Mann-Whitney U-test on these two vectors? (Don't forget to apply 
some kind of multiple hypothesis testing correction if you wish to derive a 
significance metric for the _entire_ clustering instead of the significance of 
_separate_ communities).

Best,
T.