Check out Michael Kummer's paper that looks at a similar topic ("contagion"
in pageviews among linked articles) from an econometrics perspective:
"Spillovers in Networks of User Generated Content – Evidence from 23
Natural Experiments on Wikipedia"
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2356199
On Mon, Dec 30, 2013 at 9:42 PM, Kerry Raymond <kerry.raymond(a)gmail.com>wrote;wrote:
No, you can’t for reasons on privacy. See:
https://en.wikipedia.org/wiki/Help:Watching_pages#Privacy
But, I concur with your theory that edits are contagious. I often find
that when I get the notification that a watched page has changed, I go and
look at the page. While I am there, I often spot a “little thing that needs
doing”, which sometimes is just a simple single edit and other times
initiates a marathon of editing activity for the next couple of days J
If you want to test this theory, I think using at the set of editors of
the page might be a pretty good approximation of the watchlist. A lot of
people have the “add the pages and files I edit to my watchlist” set in
their preferences (I know I do).
For the purpose of declaring one edit as being contagious (that is, causes
another edit), what criteria would you use? I would assume you need some
time bounds here. I think there needs to be “kick-off” edits identified.
These would be edits that occurred sufficiently long after the previous
edit that contagion could not be factor. Then after the kick-off edit, you
would be looking for one or more “reaction” edits that occurred fairly
quickly after one another, suggesting a contagion based on watchlists. So
it seems there are two time parameters: the kick-off threshold and the
reaction threshold. I don’t think these are necessarily the same value
(i.e. is there is some grey zone in-between where the edits can be
categorised as neither kick-off nor reaction?).
In terms of setting these threshold(s), you might need some real-life data
to train on. So maybe you could start by asking if some editors would send
you a copy of their watchlist and you could write a script that compared it
with their edit history over the same time frame (plus a bit to cater for
bursty-ness). From that you could come up with a set of edits that look
like contagious ones and you could ask the editors to say “yes / no / don’t
remember” to try to see if 1) contagion appears to be happening 2) what the
time thresholds need to be. Then test it on a bigger set of data using edit
history as a proxy for watchlists.
Kerry
------------------------------
*From:* wiki-research-l-bounces(a)lists.wikimedia.org [mailto:
wiki-research-l-bounces(a)lists.wikimedia.org] *On Behalf Of *Klein,Max
*Sent:* Tuesday, 31 December 2013 2:26 PM
*To:* wiki-research-l(a)lists.wikimedia.org
*Subject:* [Wiki-research-l] Polling the watcher's of a page. Possible?
Hello Research,
It it possible to query for the watchers of a page? It does not seem to be
in the API, nor is the "watchers" or "wl_user" table in the Data
Base
replicas (where I thought MediaWiki stores it. I imagine this is for
privacy reasons, correct? If so, how would one gain access?
I have been talking with an "econophysicist" who thinks that we could
apply a "contagion" algorithm, to see which edits are "contagious".
(I met
this econopyhicist at the Berkeley Data Science Faire at which Wikimedia
Analytics presented, so it was worth it in the end).
Maximilian Klein
Wikipedian in Residence, OCLC
+17074787023
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Brian C. Keegan, Ph.D.
Post-Doctoral Research Fellow, Lazer Lab
College of Social Sciences and Humanities, Northeastern University
Fellow, Institute for Quantitative Social Sciences, Harvard University
Affiliate, Berkman Center for Internet & Society, Harvard Law School
b.keegan(a)neu.edu
www.brianckeegan.com
M: 617.803.6971
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Skype: bckeegan