[Air-L] Twitter data collection tools

[U. Reips]

Check out iScience Maps at http://tweetminer.eu
Paper on example study here: 
http://www.uni-konstanz.de/iscience/reips/pubs/papers/2011ReipsGaraizar_final.pdf

Best wishes
Ulf

At 23:51 Uhr +0000 11.11.2015, Axel Bruns wrote:
>G'day Gohar !
>
>Thanks for this. As others have already pointed out, you won't be 
>able to get all of those stats easily, and a number of them will be 
>outdated almost as soon as you've gathered them.
>
>For small batches of general user details (as well as for most 
>anything else that can be gathered through the Twitter APIs), 
>though, I would very much recommend Erik Michaels-Ober's Ruby gem 
>'t', which essentially provides a command-line interface to the 
>Twitter API. It's available for Windows, Mac, and Linux, and while - 
>like most things Ruby - it's not the easiest to install, it's very 
>handy for quickly getting the profile information for a batch of a 
>few hundred user handles (or IDs), for instance. Output can be 
>forced to CSV format using the -c or --csv switch.
>
>Details are at https://github.com/sferik/t, and Erik (@sferik) tends 
>to be pretty helpful if you run into any trouble, too.
>
>
>
>>  Date: Wed, 11 Nov 2015 11:59:05 +0900
>>  From: "Gohar F. Khan" <gohar.feroz at gmail.com>
>>  To: air-l at listserv.aoir.org
>>  Subject: [Air-L] Twitter data collection tools
>>
>>  Hello list members:
>>
>>  I am looking for tools which can help extract all possible Twitter 
>>statistics
>>  (such as, number of tweets, followers, followings, mentions, re-tweets,
>>  favorites) for a list of Twitter handlers (around 120 accounts). *In
>>  particular, I look for a tool that can take the IDs as a single file and
>>  provide the desired statistics for each ID. *
>>
>>  The Webometrics Analyst has this functionality, but unfortunately it only
>>  provides followers and followings data. I am also familiar with the several
>>  other tools including the ones mentioned in the Dean Freelon's curated list
>> 
>><https://docs.google.com/document/d/1UaERzROI986HqcwrBDLaqGG8X_lYwctj6ek6ryqD
>>  OiQ/edit>,
>>  but
>>  non of these can extract all the information I need. Some tools provide more
>>  statistics, but they work with one ID at time.
>>
>>  I will greatly appreciate any suggestions.
>>
>>
>>  Thank you,
>>
>>  --
>>
>>  Gohar Feroz Khan, PhD
>>
>>  Adjunct Faculty & Research Adviser
>>  Korea Advance Institute of Science & Technology (KAIST) Global Information
>>  and Telecommunication Technology Program (ITTP)
>>  291 Daehak-ro, Yuseong-gu, Daejeon, South Korea.
>
>
>
>
>
>
>--
>Dr Axel Bruns                    a.bruns at qut.edu.au - @snurb_dot_info
>ARC Future Fellow, 2014-17   http://www.amazon.com/author/axel.bruns/
>Professor, Media & Communication     http://mappingonlinepublics.net/
>QUT Digital Media Research Centre    http://qut.edu.au/research/dmrc/
>Creative Industries Faculty, K412, KG              http://snurb.info/
>Queensland University of Technology                   +61 7 3138 5548
>GPO Box 2434, Brisbane, Qld 4001, Australia        CRICOS No.: 00213J
>
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