Re: [igraph] Leverage centrality implementation in igraph

[Bernie Hogan]

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

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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: address@hidden

Personal Web: http://postgrad.eee.bham.ac.uk/uptona/
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