Re: [igraph] correlation node degree and size 2nd order neighborhood [Was: Re: clustering coefficients for bipartite networks]

[Simone Gabbriellini]

Jordi,

thanks a lot for your help and for sharing!!!

ciao,
Simone

Il giorno 28/feb/2011, alle ore 15.50, jordi torrents ha scritto:

> Hi Simone,
> 
> 2011/2/26 Simone Gabbriellini <address@hidden>:
>> BTW, Jordi: there are other measures in Latapy... I have code for users' deg 
>> and degree of nei, but since my code proved to be slow... :)
>> Do you have code also for, let's say, code for the correlation between 
>> users' deg with 2-dist-nei?
> 
> Find attached code to compute and to plot the correlation between node
> degree and size of the 2nd order neighborhood in bipartite networks as
> proposed in Latapy et al (2008), along with the plot for bottom and
> top nodes for arXiv coauthor network [1] (Fig 4 in the paper). It
> seems that this implementation yields the same results that the ones
> reported in the paper, but more testing would be nice.
> 
> As far as I know, there is no implementation of random configuration
> model for bipartite network in igraph, thus the plot lacks the
> comparison with random networks. Networkx has a python implementation
> of bipartite random configuration model [2]. That would be a nice
> addition to igraph.
> 
> Salut!
> 
> [1] 
> http://www.milnou.net/~jtorrents/bipartite_cc/coauthoring_latapy_2mode.graphml
> [2] 
> https://networkx.lanl.gov/trac/browser/networkx/networkx/generators/bipartite.py
> <test_2order_corr.py><deg_corr_2nd_order_2mode_coauthor.png>_______________________________________________
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