Hello Everone,
I have one question regarding the Barabasi Function in GraphBase
(python). The "m" parameter states
"either the number of outgoing edges generated for each vertex or a list
containing the number of outgoing edges for each vertex explicitly"
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"?
Thanks a lot for your time!
Cheers,
Daniele
--
———
Daniele Capocefalo
Bioinformatics unit
Casa Sollievo della Sofferenza - Mendel
Viale Regina Margherita 261 - 00198 Roma IT
Tel: +39 06 44160526 - Fax: +39 06 44160548
E-mail: [email protected]
Web page: http://www.css-mendel.it/
Web page: http://bioinformatics.css-mendel.it
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