Re: [igraph] Centralization

[Simone Gabbriellini]

maybe it's just something basic that I don't understand, but I am used
to think centralization in a range from 0 to 1... now I have things
like 22.791...

where's the trick? ;)

Simone

2008/10/30 Gábor Csárdi <address@hidden>:
> Yes, it is. Gabor
>
> On Thu, Oct 30, 2008 at 6:30 PM, Simone Gabbriellini
> <address@hidden> wrote:
>> Thanks Gabor,
>>
>> I got it, yes it is simple for my case (degree centralization), just one 
>> line:
>>
>> centralization<-sum(max(degree(g))-degree(g)) / (vcount(g)-1)
>>
>> is it correct?
>>
>> Best regards,
>> Simone
>>
>> 2008/10/30 Gábor Csárdi <address@hidden>:
>>> Simone, it is not included in igraph, but it is not hard to do it,
>>> only,  you need to calculate the theoretical maximum of the vertex
>>> level centrality score "by hand". But this is easy for degree, it is
>>> basically vcount()-1 if you don't allow loop edges.
>>>
>>> See  http://lists.gnu.org/archive/html/igraph-help/2008-06/msg00043.html
>>> for more info.
>>>
>>> Tell us if you need more info...
>>>
>>> Gabor
>>>
>>> On Thu, Oct 30, 2008 at 5:51 PM, Simone Gabbriellini
>>> <address@hidden> wrote:
>>>> Hi List,
>>>>
>>>> is there a function in igraph to calculate graph centralization -
>>>> based on degree or betweenness or closeness?
>>>>
>>>> I am sure you already know those references, but I put them here anyway:
>>>>
>>>> Freeman, L.C. (1979). ``Centrality in Social Networks I: Conceptual
>>>> Clarification.'' Social Networks, 1, 215-239.
>>>> Wasserman, S., and Faust, K. (1994). Social Network Analysis: Methods
>>>> and Applications. Cambridge: Cambridge University Press
>>>>
>>>>
>>>> best regards,
>>>> Simone
>>>>
>>>>
>>>> _______________________________________________
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>>>>
>>>
>>>
>>>
>>> --
>>> Gabor Csardi <address@hidden>     UNIL DGM
>>>
>>>
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>>
>>
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>
>
>
> --
> Gabor Csardi <address@hidden>     UNIL DGM
>
>
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