Dear Professor Haenlein,
Have you solved this issue yet? I found this eally interesting problem
I was wondering if it is possible to wrapper "objective function"
around igraph's 'sample_pa' and
'sample_smallworld'. If you have an example data set, I can have a look at this.
Viele Gruesse aus London
Mehmet
On 16 April 2016 at 14:16, Michael Haenlein wrote:
> Dear all,
>
> I am trying to simulate a series of networks that have characteristics
> similar to real life social networks. Specifically I am interested in
> networks that have (a) a reasonable degree of clustering (as measured by
> the transitivity function in igraph) and (b) a reasonable degree of degree
> polarization (as measured by the average degree of the top 10% nodes with
> highest degree divided by the overall average degree).
>
> Right now I am using two functions from irgaph (sample_pa and
> sample_smallworld) but these are not ideal since they only allow me to vary
> one of the two characteristics. Either the network has good clustering but
> not enough polarization or the other way round.
>
> I looked around and I found some network algorithms that solve the problem
> (E.g., Jackson and Rogers, Meeting Strangers and Friends of Friends), but I
> did not find their implemented in an R package. I also found the R package
> NetSim which seems to be in this spirit, but I cannot get it to work.
>
> Could anyone point me to an R library that I could check out? I do not care
> much about the specific algorithm used as long as it allows me to vary
> clustering and degree polarization in certain ranges.
>
> Thanks,
>
> Michael
>
>
> Michael Haenlein
> Professor of Marketing
> ESCP Europe, Paris
>
> [[alternative HTML version deleted]]
>
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