igraph-help
[Top][All Lists]
Advanced

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

[igraph] estimating parameters for use in a barasi game


From: Jesse D Lecy
Subject: [igraph] estimating parameters for use in a barasi game
Date: Sat, 4 Apr 2009 16:43:22 -0400

Greetings -

I have some empirical networks that I need to use as a basis for a monte-carlo 
simulation.  I need to generate new networks that have similar characteristics 
to the current networks (i.e. matched on density, in and out degree 
distributions).  The empirical networks exhibit preferential attachment, so I 
am using the "barabasi.game" functions to generate the networks in R, but I am 
having a hard time getting the input parameters right so the degree 
distributions of the empirical and generated networks are consistent.  I have 
set the "out-seq" parameter to the actual out degree vector of the empirical 
network, so this matches with the simulated network, as does the density.  But 
the in-degree distributions are distorted.

Is there any way to feed igraph a network and have it generate similar 
networks?  I.e., is there a parameter fitting routine for any of the network 
generation functions?  I know that there is a function for estimating the alpha 
parameter in power law distributions, but this parameter alone is insufficient 
for matching graph characteristics between empirical and simulated graphs.

Thanks in advance,

Jesse



reply via email to

[Prev in Thread] Current Thread [Next in Thread]