Sorry for the repost, that email apparently got stuck in the mailinglist queue 
when I sent it originally and just now got released for some reason.

Cheers, Fabian


On 12.03.2015, at 12:40, "Flöck, Fabian" 
<[email protected]<mailto:[email protected]>> wrote:

Hi all, we produced a prototype of an editor-editor interaction network 
visualization for individual articles, based on the word/tokens deleted and 
reintroduced by editors. It will be presented as a demo at the WWW conference 
this year [1], but we would love to also get some feedback on it from this 
list.  It's in an early stage and pretty slow when loading up, so have patience 
when you try it out here: http://km.aifb.kit.edu/sites/whovis/index.html, and 
be sure to read the "how to" section on the site. Alternatively you can watch 
the (semi-professional) screencast I did :P, it explains most of the functions.

The (disagreement) interactions are based on a extended version of the 
extraction of authorship we do with wikiwho [2], and the graph drawing is done 
almost exactly after the nice method proposed by Brandes et al. [3] . The code 
can be found at github, both for the interaction-extraction extension of 
wikiwho [4] and the visualization itself [5], which basically produces an json 
output for feeding the D3 visualization libraries we use.  We have yet to 
generate output for more articles, so far we only show a handful for 
demonstration purposes. The whole thing also fits nicely (and was supposed to 
go along) with the IEG proposal that Pine had started on editor interaction [6] 
.


word provenance/authorship API prototype:

Also, we have worked a bit on our early prototype for an API for word 
provenance/authorship:
You can get word/token-wise information from which revision what content 
originated (and thereby which editor originally authored the word) at
http://193.175.238.123/wikiwho/wikiwho_api.py?revid=<REV_ID>"&name=<ARTICLENAME>&format=json
(<ARTICLENAME>  -> name of the article in ns:0, in the english wikipedia, 
<REV_ID> -> rev_id of that article for which you want the authorship 
information, format is currently only json)
Example: 
http://193.175.238.123/wikiwho/wikiwho_api.py?revid=649876382&name=Laura_Bush&format=json

Output format is currently:
{"tokens": [{"token": "<FIRST TOKEN IN THE WIKI MARKUP TEXT>", "author_name": 
"<NAME OF AUTHOR OF THE TOKEN>", "rev_id": "<REV_ID WHEN TOKEN WAS FIRST 
ADDED>"}, {"token": "<SECOND TOKEN IN THE WIKI MARKUP TEXT>", "author_name": 
"<NAME OF AUTHOR OF THE TOKEN>", "rev_id": "<REV_ID WHEN TOKEN WAS FIRST 
ADDED>"}, {"token": "<THIRD TOKEN …
… ], "message": null, "success": "true", "revision": {"article": "<NAME OF 
REQUESTED ARTICLE>", "time": "<TIMESTAMP OF REQUESTED REV_ID>", "reviid": 
<REQUESTED REV_ID>, "author": "<AUTHOR OF REQUESTED REV_ID>"}}

DISCLAIMER: there are problems with getting/processing the XML for larger 
articles right now, so don't be surprised if that gives you an error sometimes 
(i.e. querying "Barack Obama" for instance and similar sizes will *not* succeed 
for higher revision numbers). Also, we are working on the speed and providing 
more precomputed articles (right now almost all are computed on request, 
although we save intermediary results). Still, for most articles it works fine 
and the output has been tested for accuracy (cf. [2]).

At some point in the future, this API will also be able to deliver the 
interaction data that the visualization is build on.


I'm looking forward to your feedback :)


Cheers,
Fabian

[1] http://f-squared.org/wikiwho/demo32.pdf
[2] http://f-squared.org/wikiwho/
[3] http://dl.acm.org/citation.cfm?id=1526808
[4] https://github.com/maribelacosta/wikiwho
[5] https://github.com/wikiwho/whovis
[6] 
https://meta.wikimedia.org/wiki/Grants:IEG/Editor_Interaction_Data_Extraction_and_Visualization

--
Fabian Flöck
Research Associate
Computational Social Science department @GESIS
Unter Sachsenhausen 6-8, 50667 Cologne, Germany
Tel: + 49 (0) 221-47694-208
[email protected]<mailto:[email protected]>

www.gesis.org<http://www.gesis.org>
www.facebook.com/gesis.org<http://www.facebook.com/gesis.org>



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Cheers,
Fabian

--
Fabian Flöck
Research Associate
Computational Social Science department @GESIS
Unter Sachsenhausen 6-8, 50667 Cologne, Germany
Tel: + 49 (0) 221-47694-208
[email protected]<mailto:[email protected]>

www.gesis.org
www.facebook.com/gesis.org





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