Bump! 

The metric seems very straightforward to implement. Don't have the time at the 
moment, but I could easily see coding this at the python level. I'm not sure 
its worth bundling into the main package based on only one paper, though. 

Unless there is significant demonstrated uptake of this measure, its best done 
ad hoc. Otherwise, poor Tamas and Gabor would spend their lives coding 
centrality metrics. At this Sunbelt I counted 3 new metrics, all of which were 
better than sliced bread! ...at one very specific thing.

Take care,
BERNiE 

Dr Bernie Hogan
Research Fellow, Oxford Internet Institute
University of Oxford
http://www.oii.ox.ac.uk/people/hogan/

On 25 Jul 2012, at 16:29, Alex Upton wrote:

> 
> Good afternoon,
> 
> I have just recently read a paper discussing leverage centrality, 
> http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012200. The 
> leverage centrality in this paper is defined as a measure of the relationship 
> between the degree of a given node (ki) and the degree of each of its 
> neighbors (kj), averaged over all neighbors (Ni). Therefore, what I would 
> like to do is implement this, and calculate this in igraph. Has anyone had 
> any experience of doing this, or does anyone know how to implement this?
> 
> 
> Kind regards,
> 
> Alex
> 
> --------------------------------------------------------------------------------------------
> Alex Upton, BEng, MRes, PG Cert Business Administration
> 
> PhD Researcher Biomedical Informatics, Signals and Systems 
> School of Electronic, Electrical and Computer Engineering, 
> College of Engineering and Physical Sciences, University of Birmingham
> Edgbaston, Birmingham, B15 2TT, United Kingdom
> 
> Fax: +44 121 4144291 (school general office)
> Email: [email protected]
> 
> Personal Web: http://postgrad.eee.bham.ac.uk/uptona/
> --------------------------------------------------------------------------------------------
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