
From:  Tamas Nepusz 
Subject:  Re: [igraph] Understanding Barabasi Function and how to simulate a scale free() 
Date:  Fri, 21 Apr 2017 11:38:02 +0200 
I have one question regarding the Barabasi Function in GraphBase (python). The "m" parameter states [...]
It isn't clear whether this m implies the average degree of the scale free network or something else.
Additionally, since it clearly states "outgoing edges", do I need to convert the network to undirect after calling the Barabasi() method?
Moreover, I need to simulate several scale free networks that "mirrors" real networks I'm studying. To this extent, I was searching for a function or an algorithm to infer the exponential parameter for the power law. does igraph for python offer something like this?
Alternatively, could I use the average degree of the real networks and give it to the Barabasi() function when defining "m"?
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