[Air-L] additional suggestions for Twitter aggregating & analytic tools

[Sean Goggins]

My team at Drexel operates a twitter data collection system, Called
Twitter Zombie, which is published at the 2012 ACM Group Conference (
http://www.groupinformatics.org/sites/default/files/TwitterZombieGroup.pdf
).

If you have Twitter search phrases, accounts or hashtags you would like to
collect without setting up infrastructure on your own, we can do that for
you.  We ask you to attribute your data collection to our system, but do
not enforce this.  The data is yours.

Our current work is focusing on collaboration among social media
researchers at the data collection stage, so you would also be helping us
to identify these opportunities.  Our work is being presented at upcoming
conferences, including AOIR.  Kris Unsworth and Ann-Sofie Axellson will be
presenting one of our studies on "Social Media and Technologies of
Control" at the upcoming AoIR conference.

We also have a systematic set of analysis methodological approaches for
Twitter and other social media data that we are planning to share at
workshops at upcoming conferences.

Thanks!

Sean P. Goggins, PhD
Assistant Professor
Drexel University
http://www.groupinformatics.org


On 10/1/12 9:06 AM, "Maurice Vergeer" <m.vergeer at maw.ru.nl> wrote:

>correct. There was Twapperkeeper which has become Hootsuite. This is
>YourTwapperkeeper, the open source version (see
>http://mappingonlinepublics.net/2011/06/21/switching-from-twapperkeeper-to
>-y
>ourtwapperkeeper/
>)
>
>best regards
>Maurice
>
>On Mon, Oct 1, 2012 at 2:45 PM, Siapera, Eugenia (Dr.) <
>es107 at leicester.ac.uk> wrote:
>
>> Great thread and very useful for some of us - however, I am slightly
>> confused re Twapperkeeper - I was under the impression that it got sold
>>to
>> Hootsuite and is no longer available to download-use?
>>
>> ________________________________________
>> From: air-l-bounces at listserv.aoir.org [air-l-bounces at listserv.aoir.org]
>> On Behalf Of Maurice Vergeer [m.vergeer at maw.ru.nl]
>> Sent: 30 September 2012 21:59
>> To: air-l at listserv.aoir.org
>> Cc: eciszek at uoregon.edu; a.bruns at qut.edu.au
>> Subject: Re: [Air-L] additional suggestions for Twitter aggregating &
>> analytic tools
>>
>> Axel Bruns beat me to it. Yes, I would advise YourTwapperkeeper for data
>> collection as well. I've been using it for a while and am very pleased
>>with
>> it. Things are indeed very well described in the First Monday
>>manuscript:
>>
>> 
>http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArti
>cle/39
>37/3193
>>
>> As for handling the data, I prefer to use SPSS. Yes, a statistical tool.
>> But I use it primarily to handle the data. Also I use SPSS to match
>> external data to the Twitter data. The data Twitter provides are of
>>course
>> somewhat limited. However if one taps into external data sets one is
>>able
>> to enrich Twitter data for more advanced analyses.
>>
>> Also, SPSS has recently incorporated many text handling features to
>>create
>> new variables based on text strings. It thus also allows for creating
>>your
>> own metrics because - as Axel Bruns states - Twitter's metrices are
>>biased.
>> See my blogpost:
>> 
>>http://blog.mauricevergeer.nl/2011/04/18/bias-in-twitter-api-measurements
>>/
>>
>> As for Big Data analysis: without going for the Big Data, the number of
>> observations already increases rapidly anyhow. See my presentation held
>>at
>> WAPOR Amsterdam:
>>
>> 
>>http://www.slideshare.net/maver/candidates-communication-patterns-on-twit
>>ter
>> .
>> SPSS can easily handle large amounts of data.
>> As for large networks, I would recommend Pajek:
>> http://mrvar.fdv.uni-lj.si/pajek/. They even released another version
>> Pajek
>> XXL for very very large networks.
>>
>> Finally I know R the statstical / programming software also has a
>>Twitter
>> package (http://cran.r-project.org/web/packages/twitteR/index.html).
>>Have
>> tried it once, but because I am noy (yet) an R-expert haven't used it
>>since
>> then. The advantage of using it in R would be that one cold stay within
>>a
>> single software environment. R also has text (
>> http://gking.harvard.edu/readme) and several network analytical
>>packages.
>>
>> HTH
>> Maurice
>>
>>
>> .
>>
>>
>>
>>
>> ___________________________________________________________________
>> Maurice Vergeer
>> To contact me, see http://mauricevergeer.nl/node/5
>> To see my publications, see http://mauricevergeer.nl/node/1
>> ___________________________________________________________________
>> _______________________________________________
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>
>
>
>
>-- 
>___________________________________________________________________
>Maurice Vergeer
>To contact me, see http://mauricevergeer.nl/node/5
>To see my publications, see http://mauricevergeer.nl/node/1
>___________________________________________________________________
>_______________________________________________
>The Air-L at listserv.aoir.org mailing list
>is provided by the Association of Internet Researchers http://aoir.org
>Subscribe, change options or unsubscribe at:
>http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
>
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>http://www.aoir.org/
>