Hi all,

Hi Tamas and Gabor,


 


I confess I were using Ucinte for SNA until I moved to igraph in R. The
reason why I did it, although I'm not used to R and I find it quite puzzling
given my background (I'm an agronomist working in rural development issues,
try to imagine my efforts) is that I was looking for a tool that could
iterate procedures normally time consuming in Ucinet.


 


For example, I'd like to calculate a set of egonetwork measures performed by
Ucinet (http://faculty.ucr.edu/~hanneman/nettext/C9_Ego_networks.html) over
egonetworks extracted from a time series of the same network (10 years = 10
networks).


The measures are: size, ties, pairs, density,Average distance, diameter,
number of weak components, 2steps reachability, reach efficiency,
broakerage, normalized brokerage, egobetweenness, normalized egobetweeness.


 


 


Let's focus on density.


 


I figure it out I can use "graph.neighborhood" to creat a list of
egonetworks for a given network. Than, I can use "lappy" to iterate
"graph.density" over each egonetwork of my previous list.


 


 


The problem is that using graph.neighborhood I get an output like this:


 


[[65]]


IGRAPH DN-- 6 15 -- 


+ attr: name (v/c), value (e/n)


 


[[66]]


IGRAPH DN-- 3 2 -- 


+ attr: name (v/c), value (e/n)


 


where egos in my list are identified by a number in squared brackets. Since
I need to work on a time series, I need to keep trace of the name of the
egos, so that to build an egonetwork density time series for each of my
nodes across 10 years.


 


As for "graph.density" it calculates density as ratio between number of ties
and all the possible ties in the (ego)network, while I need to calculate it
as number of ties over number of pairs. I was wondering if there's a direct
function to perform it in place of "graph.density".


I'll keep working to fin out how to calculate the rest of the (Ucinet)
egonetwork measures listed above, but I've still one last question.


 


What if I create a list of networks, including all my 10 years, and than use
"lapply" for "graph.neighborhood" and than for "graph.density"?


 


I can see my questions relates to R usage more than Igraph, I apologize.


 


Thanks,


 


Umberto


 
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