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Hi all,

I'll just add one more link to Robert's great list:

Pegasus. An award-winning, open-source, graph-mining system with massive
> scalability.Analyze petabytes of graph data with ease:

http://www.cs.cmu.edu/~pegasus/

Best,
Alex.

(Social | Network | Data) Analyst
http://jarens.ru
https://twitter.com/jarens
ru.linkedin.com/in/semenoffalex/



2014/1/2 Robert Meusel <[log in to unmask]>

> *****  To join INSNA, visit http://www.insna.org  *****
>
> Hi Ragia,
>
> depending on what kind of graph you want to analyze you can have a look at
> [1]. We had good experiences with this library. If you do not have that
> much RAM you can try working with [2] If you need something distributed you
> could have a look at [3] if the algorithms are included.
>
> For smaller graphs (up to 40 million nodes) you could also have a look at
> [4].
>
> Hope this helps,
> Robert
>
> [1] http://webgraph.di.unimi.it/
> [2] http://graphlab.org/graphchi/
> [3] http://hama.apache.org/
> [4] http://pajek.imfm.si/doku.php
>
> Am 02.01.2014 09:11, schrieb Ragia A. Ibrahim:
>
>  *****  To join INSNA, visit http://www.insna.org  *****
>>
>> Hi,
>> kindly please from your experiances what is the most suitable tool for
>> analyzing
>> large graphs.
>> your reply is highly appreciated
>> RAE
>>
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> --
> Robert Meusel
> Chair of Information Systems V
> Web-based Systems Group
> Universitšt Mannheim
> B6, 26, Room C1.04
> D-68159 Mannheim
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> Mail: [log in to unmask]
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>
>
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_____________________________________________________________________
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