> Regards,
> chen
>
> On Wed, Sep 26, 2012 at 9:07 PM, Gábor Csárdi <
address@hidden> wrote:
>>
>> Hi,
>>
>> weighted edge-betweenness community detection simply means that
>> weighted paths are considered for calculating the shortest paths in
>> the edge betweenness calculation.
>>
>> Best,
>> Gabor
>>
>> On Wed, Sep 26, 2012 at 6:54 AM, 凌琛 <
address@hidden> wrote:
>> > Hi,
>> >
>> > Have you used the Weighted Girvan-Newman community detected algorithm in
>> > the
>> > library to detect community?
>> > I am not sure what the edge weight represent in this algorithm in
>> > Igraph,
>> > similarity or distance?
>> >
>> > Thanks,
>> > chen
>> >
>> > On Wed, Sep 26, 2012 at 6:48 PM, Minh Nguyen <
address@hidden>
>> > wrote:
>> >>
>> >> Hi,
>> >>
>> >> On Wed, Sep 26, 2012 at 8:21 PM, Roey Angel <
address@hidden>
>> >> wrote:
>> >> > I was wondering if there's a way to choose between the methods,
>> >> > either
>> >> > by
>> >> > experience (e.g. 'method x typically gives best results) or with some
>> >> > statistical test.
>> >>
>> >> There is a general class of statistical tests called the significance
>> >> of community. The relevant ideas and techniques can be found in the
>> >> following papers.
>> >>
>> >>
http://dx.doi.org/10.1371/journal.pone.0033721
>> >>
http://dx.doi.org/10.1103/PhysRevE.82.066106
>> >>
http://dx.doi.org/10.1103/PhysRevE.81.046110
>> >>
>> >> --
>> >> Regards,
>> >> Minh Van Nguyen
>> >>
http://bit.ly/mvngu
>> >>
>> >> _______________________________________________
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>> >>
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>> >
>> >
>> >
>> > _______________________________________________
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>> >
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>> >
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>> >
>>
>>
>>
>> --
>> Gabor Csardi <
address@hidden> MTA KFKI RMKI
>>
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>>
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>
>
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