The deltas library implements the rough WikiWho strategy in a difflib sort
of way as "SegmentMatcher".
Re. diffs, I have some datasets that I have generated and can share. Would
enwiki-20150602 be recent enough for your uses?
If not, then I'd also like to point you to
which provides some nice utilities for parallel processing diffs from
MediaWiki dumps using the `deltas` library. See
. Those utilities will
natively parallelize computation so that you can divide the total runtime
(100 days) by how many CPUs you have to run with. E.g. 100 days / 16 CPUs
= 6.3 days. On a hadoop streaming setup (Altiscale), I've been able to
get the whole English Wikipedia history processed in 48 hours, so it's not
a massive benefit -- yet.
-Aaron
On Wed, Jan 20, 2016 at 8:49 AM, Flöck, Fabian <Fabian.Floeck(a)gesis.org>
wrote:
Hi, you can also look at our WikiWho code, we have
tested it to extract
the changes between revisions considerably faster than a simple diff. see
here:
https://github.com/maribelacosta/wikiwho . you would have to adapt
the code a bit to give you the pure diffs though. let me know if you need
help.
best,
fabian
On 20.01.2016, at 13:15, Scott Hale <computermacgyver(a)gmail.com> wrote:
Hi Bowen,
You might compare the performance of Aaron Halfaker's deltas library:
https://github.com/halfak/deltas
(You might have already done so, I guess, but just in case)
In either case, I suspect the tasks will need to be parallelized to be
achieved in a reasonable time scale. How many editions are you working with?
Cheers,
Scott
On Wed, Jan 20, 2016 at 10:44 AM, Bowen Yu <yuxxx856(a)umn.edu> wrote:
Hello all,
I am a 2nd PhD student working in Grouplens Research group at the
University of Minnesota - Twin Cities. Recently, I am working on a project
to study how identity based and bond based theories would help understand
editor's behavior in WikiProjects within the group context, but I am having
a technical problems that need help and advise.
I am trying to parse each revision content of the editors from the XML
dumps - the contents they added or deleted in each revision. I used the
compare function in difflib to obtain the added or deleted contents by
comparing two string objects, which runs extremely slow when the strings
are huge specifically in the case of the Wikipedia revision contents.
Without any parallel processing techniques, the expecting runtime to
download and parse the 201 dumps would be ~100+ days.. I was pointed to
altiscale, but not yet sure exactly how to use it for my problem.
It would be really great if anyone would give me some suggestion to help
me make more progress. Thanks in advance!
Sincerely,
Bowen
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--
Dr Scott Hale
Data Scientist
Oxford Internet Institute
University of Oxford
http://www.scotthale.net/
scott.hale(a)oii.ox.ac.uk
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Gruß,
Fabian
--
Fabian Flöck
Research Associate
Computational Social Science department @GESIS
Unter Sachsenhausen 6-8, 50667 Cologne, Germany
Tel: + 49 (0) 221-47694-208
fabian.floeck(a)gesis.org
www.gesis.org
www.facebook.com/gesis.org
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