Hi Umberto, On Tue, Apr 16, 2013 at 11:36 AM, Umberto77 <[email protected]> wrote: [...]
> 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) > What kind of output would you like? > 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. > If you want a named list as the output, just add the vertex of the original graph to the result list: names(result) <- V(originalgraph)$name > 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". > What exactly is the difference? Isn't "all possible ties" the same as the number of pairs (ordered or unordered, depending on whether your graph is directed)? [...] > 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 am not sure what is the question here. If you would like to do this, just go ahead. :) Best, Gabor [...]
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