Re: [igraph] Diffusion Centrality

[Tamás Nepusz]

Hi,

How large are your networks and which language are you using igraph from? If 
the networks are relatively small and you are working from R or Python, the 
measure can simply be calculated by implementing Eq (5) in the manuscript using 
straightforward matrix multiplications. I can give it a go if you are indeed 
working from R or Python and your networks do not consist of more than a couple 
of hundred vertices.

-- 
T.

On 15 Aug 2013, at 14:20, Thomas <address@hidden> wrote:

> I don't suppose anyone on here has or is planning to implement the diffusion 
> centrality measure as described in the section "An approximation of 
> communication centrality" in:
> 
> http://www.sciencemag.org/content/341/6144/1236498.full.pdf
> 
> (Before someone suggests it, my coding skills are too shaky to attempt this 
> except as a last resort, although I have implemented a metric that attempts 
> to measure a similar concept, details at: 
> http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2289732)
> 
> Thank you,
> 
> Thomas Chesney
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