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Hi Nazim,

I don't recommend graph-tool at all. It has a very bad software design. I
started with it once and then I had to re-write my entire code again to
work with networkx.



On Fri, May 15, 2015 at 8:24 PM, Alexander Semenov <[log in to unmask]>
wrote:

> ***** To join INSNA, visit http://www.insna.org *****
> Hi, Nazim.
>
> Here is another Python package, that is really fast: NetworKit (
> https://networkit.iti.kit.edu/). There is a paper about it with
> comparison of its performance with NetworkX:
> http://arxiv.org/ftp/arxiv/papers/1403/1403.3005.pdf
>
> My colleague, Benjamin Lind, tried it to generate large Erdős–Rényi graphs
> and it was much faster, than igraph.
>
> Best,
> Alex.
>
> (Social | Network | Data) Analyst
>
> Junior Research Fellow at the International Laboratory for Applied Network
> Research
> National Research University Higher School of Economics
> http://anr.hse.ru/en/
>
> http://jarens.ru
> ru.linkedin.com/in/semenoffalex/
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>
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>
>
>
> 2015-05-07 10:34 GMT+03:00 Nazim Choudhury <[log in to unmask]>
> :
>
>> *****  To join INSNA, visit http://www.insna.org  *****
>>
>> Dear SOCNET Colleagues,
>>
>> Would anyone please be able to help me with any suggestion regarding
>> network analysis software that can handle over 2 million of edges.
>>
>> I am working on link prediction and in some cases, the extant algorithms
>> like "Preferential attachment" or "RootedPageRank" generates over a million
>> of edges in predicting future networks.
>>
>> I tried some but found them incapable of  processing such big networks.
>>
>> Thanks and Regards
>> Nazim Choudhury
>>
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>
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