Re: [Wiki-research-l] [Analytics] [Release]

Great work! One way for further analysis of such kind of geolinguistic aggregate is to do some data normalization, or geographic normalization, as demonstrated by my previous work <http://www.opensym.org/os2014-files/proceedings/p611.pdf>: http://www.opensym.org/os2014-files/proceedings/p611.pdf Any one is welcome to do some data normalization using the geolinguistic size indicators here <https://github.com/hanteng/pyGeolinguisticSize/blob/master/size_geolinguistic.tsv>: https://github.com/hanteng/pyGeolinguisticSize/blob/master/size_geolinguist… Currently, it has Population (LP), Internet users (IPop), Economy Size (PPPGDP), etc. estimation based on "even distribution" across percentage share of language population per country based on the Unicode CLDR 25 Territory-Language Information. A simple linear regression can reveal, say, which geo-linguistic, geographic, or linguistic category has less-than-expected or more-than-expected proportional of viewing traffic, with the expected values being generated according to the sizes of population, Internet population, economy. I hope this great work by Nemo can be extended to cover (1) time-series report and data release (2) edits aggregate Altogether the tools and datasets will be a major milestone to monitor the language/project development across Wikimedia projects. Congrats! Best, han-teng liao 2015-02-26 8:31 GMT+01:00 Federico Leva (Nemo) &lt;nemowiki(a)gmail.com&gt;om>: