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***** To join INSNA, visit http://www.insna.org *****
I can confirm that the Kwak et al. dataset linked above works
perfectly. It's a very large file (15 gig, I think), so you will
probably want to import it into a database and index it before using
it. MySQLImport can import it remarkably quickly, but the indexing
will take some time.
Cheers,
Andrei
On Thu, Jun 17, 2010 at 9:38 PM, Marcel Karnstedt
<[log in to unmask]> wrote:
> ***** To join INSNA, visit http://www.insna.org *****
>
> -----BEGIN PGP SIGNED MESSAGE-----
> Hash: SHA1
>
> I also know this one:
>
> http://an.kaist.ac.kr/traces/WWW2010.html
>
> Anyhow, when I downloaded it I couldn't extract. Might be related to
> some problems on my side.
>
> I'm pretty sure that there are more Twitter data sets out there.
>
>
> Cheers,
> Marcel
>
>
> On 17/06/2010 22:00, Steve Eichert wrote:
>> ***** To join INSNA, visit http://www.insna.org ***** If you're
>> interested in viewing networks for specific users you might try NodeXL.
>> For a more complete dataset checkout:
>>
>> http://infochimps.org/tags/twitter
>>
>> Cheers,
>> Steve
>>
>>
>> On Thu, Jun 17, 2010 at 4:46 PM, Trask, Lake <[log in to unmask]
>> <mailto:[log in to unmask]>> wrote:
>>
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>> Hi,
>>
>> I'm researching different ranking methods in social networks and was
>> wondering if anyone had any or knew of any available data sets about
>> Twitter. More specifically, my research adviser and I are looking
>> to analyze the network created by starting with single twitter user
>> and branching out based on who he/she is "following" and who is
>> "following" him/her. In other words, if this was visualized as a
>> graph, each user would be a node in the graph, and they would be
>> connected by an edge if one follows the other. This would be a
>> directional graph where the arrow indicates who is following whom,
>> or vice versa. Does anyone know of any such data set or how to go
>> about obtaining one?
>>
>> Thanks,
>> Lake
>>
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>
>
> - --
> Dr. Marcel Karnstedt <http://www.marcel.karnstedt.com/>
>
> phone: +353 91 494034
>
> Digital Enterprise Research Institute (DERI) <http://www.deri.ie/>
> Unit for Information Mining and Retrieval (UIMR) <http://uimr.deri.ie/>
> National University of Ireland, Galway (NUIG) <http://www.nuigalway.ie/>
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>
> _____________________________________________________________________
> SOCNET is a service of INSNA, the professional association for social
> network researchers (http://www.insna.org). To unsubscribe, send
> an email message to [log in to unmask] containing the line
> UNSUBSCRIBE SOCNET in the body of the message.
>
--
Andrei Boutyline
University of California, Berkeley
PhD Student, Sociology
www.ocf.berkeley.edu/~andrei
_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
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