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.raym...@gmail.com>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-boun...@lists.wikimedia.org [mailto: > wiki-research-l-boun...@lists.wikimedia.org] *On Behalf Of *Klein,Max > *Sent:* Tuesday, 31 December 2013 2:26 PM > *To:* wiki-research-l@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 > > _______________________________________________ > Wiki-research-l mailing list > Wiki-research-l@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > -- 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.kee...@neu.edu www.brianckeegan.com M: 617.803.6971 O: 617.373.7200 Skype: bckeegan
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