Hello! Please post questions such us these to analytics@ e-mail list.
>A) ACCESS TRAFFIC >We are interested in wikipedia clicks per world-wide geographical unit (sub-national, ideally) and per category (https://en.wikipedia.org/ wiki/Portal:Contents/Categories). >Is there a way to stream (maybe per API) the origin of wikipedia clicks in a specific category? Instead it would already be great for us to find a statistic that shows regional >access statistics on wikipedia in general over time. We do not track click data per category, in fact, as far as I know, very few things are kept track "per category" (someone will correct me if I am wrong, I'm sure). Now, maybe someone on this list can point you to alredy compiled data by other research project on that regard. Some data that might be of interest: Pageviews per country: https://stats.wikimedia.org/wikimedia/squids/SquidReportPageViewsPerCountryBreakdown.htm Pageviews per article can be obtained either from dumps of pageview API> data is updated daily but it does not have a country dimension: https://wikitech.wikimedia.org/wiki/Analytics/PageviewAPI There is a clickstream dataset that does not have geograhic information either: https://datahub.io/dataset/wikipedia-clickstream >B) EDITING TRAFFIC > As far as we have seen, it is possible to access the editing statistics (often with IP addresses given) for the last 30 days >( https://en.wikipedia.org/w/index.php?namespace=&tagfilter=&days=30&title=Special%3ARecentChanges ). > Is there likewise a tool or API to steam the editing process of wikipedia (IP and editor name, if registered)? Either there is a user id, or an IP, not both. You only get IPs from anonymous editors. You can consume this data on an stream format, see docs here: https://wikitech.wikimedia.org/wiki/EventStreams#JavaScript We have recently launched this service and our docs need some work, we will document in a more friendly way what streams are available but the example I linked to should work and includes recent changes. Thanks, Nuria On Wed, Feb 8, 2017 at 6:23 PM, Erik Zachte <[email protected]> wrote: > Dear Fabian, > > > > Let me relay your question to the WMF Analytics Team. > > > > Best regards, > > Erik Zachte > > > > *From:* Fabian Stephany [mailto:[email protected]] > *Sent:* Sunday, February 05, 2017 20:48 > *To:* [email protected]; [email protected] > *Cc:* Fabian Braesemann > *Subject:* Research on wikipedia traffic and educational quality > > > > Dear Erik, > > > > please allow me to contact you regarding your work for wikipedia ( > https://stats.wikimedia.org/ <http://stats.grok.se/>). My colleague and > me (Oxford Internet Institute/University of Cambridge/Wittgenstein Centre > Vienna) are about to start a research project on educational quality and > wikipedia traffic. > > > > Hopefully, you find the time give us some advise on our questions > regarding wikipedia access and edit traffic. We want to look at the > category and geographical origin of wikipedia article access and editing. > > > > A) ACCESS TRAFFIC > > > > We are interested in wikipedia clicks per world-wide geographical unit > (sub-national, ideally) and per category (https://en.wikipedia.org/ > wiki/Portal:Contents/Categories). > > Is there a way to stream (maybe per API) the origin of wikipedia clicks in > a specific category? Instead it would already be great for us to find a > statistic that shows regional access statistics on wikipedia in general > over time. > > > > B) EDITING TRAFFIC > > > > As far as we have seen, it is possible to access the editing statistics > (often with IP addresses given) for the last 30 days ( > https://en.wikipedia.org/w/index.php?namespace=&tagfilter=&days=30&title= > Special%3ARecentChanges > <https://en.wikipedia.org/w/index.php?namespace=&tagfilter=&days=30&title=Special:RecentChanges>). > Is there likewise a tool or API to steam the editing process of wikipedia > (IP and editor name, if registered)? > > > > > > Thank you very much for your help or likewise for suggesting somebody, who > could help us out. > > > > Best wishes, > > > > Fabian Stephany, PhD MSc, MPhil Cantab > > > [email protected] > [email protected] > fabianstephany.com > > UK +44 776 3505 435 <+44%207763%20505435> > AT +43 680 5015 960 <+43%20680%205015960> > DE +49 176 3121 5012 <+49%20176%2031215012> > > > > _______________________________________________ > Analytics mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/analytics > >
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