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Approaches to compare network hierarchies indeed are seldom. May I also point at:

Queyroi, F., M. Delest, J.-M. Fédou and G. Melançon (2013). Assessing the quality of multilevel graph clustering. Data Mining and Knowledge Discovery, Volume 28, Issue 4, pp. 1107-1128.

http://dx.doi.org/10.1007/s10618-013-0335-9

Best,
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Le 11 janv. 2016 à 09:09, Juan Ignacio Perotti <[log in to unmask]> a écrit :

> ***** To join INSNA, visit http://www.insna.org *****
> Hello Muhammad,
> 
> there are several methods to detect hierarchical community structures in networks. However, we couldn't find methods to compare the different obtained hierarchies (for example, by using different detection methods). Therefore, we developed one
> 
> Hierarchical mutual information for the comparison of hierarchical community structures in complex networks
> Juan Ignacio Perotti, Claudio Juan Tessone, Guido Caldarelli, Phys. Rev. E 92, 062825 (2015)
> http://arxiv.org/abs/1508.04388v2
> 
> Also, in the introduction of the paper we provide references to different detection methods which can be useful to you as well.
> 
> I hope this helps.
> 
> Best regards,
> Juan
> 
> On Sat, Jan 9, 2016 at 1:53 PM, Muhammad Qasim Pasta <[log in to unmask]> wrote:
> ***** To join INSNA, visit http://www.insna.org *****
> Hello,
> 
> I want to detect hierarchical structures in a network - interested to find that whether a network consist hierarchical structure or not. Whether applying a hierarchical community detection algorithm is a good idea for this? If no, then what should I use for this?
> 
> Thanks in advance,
> --
> Muhammad Qasim Pasta
> Cell: +92-333-3158277
> http://qasimpasta.info
> 
> Save a tree. Don't print this email unless  it's really necessary.
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> 
> 
> 
> -- 
> Dr. Juan I. Perotti
> 
> Postal Address:
> IMT Institute for Advanced Studies, San Francesco Complex,
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> 
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> 
> personal phone number: + 358 46 6306 650
> _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.

Guy Melançon
CNRS LaBRI UMR 5800
Université de Bordeaux
351 Cours de la Libération
F-33405 Cedex
http://www.labri.fr/perso/melancon/
T. +33 540008881
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