Re: [Wiki-research-l] [Release]
2015-03-04 8:44 GMT+01:00 Dario Taraborelli dtarabore...@wikimedia.org: yay, shiny! The map is a pretty compelling way to show how dominant traffic from the US is, even for very minor languages (say bi.wikipedia.org), I wonder how many requests from US-based bots/automata we’re still failing to detect. Still, the question could be: are we fulfilling the mission? (hint: probably not) Cristian ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
That is the question, and I agree with your conclusion. I'm hoping to do more research into this; getting buyin internally has been tough, but I'm confident of making progress on that front over the next few weeks and months. On 4 March 2015 at 04:13, Cristian Consonni kikkocrist...@gmail.com wrote: 2015-03-04 8:44 GMT+01:00 Dario Taraborelli dtarabore...@wikimedia.org: yay, shiny! The map is a pretty compelling way to show how dominant traffic from the US is, even for very minor languages (say bi.wikipedia.org), I wonder how many requests from US-based bots/automata we’re still failing to detect. Still, the question could be: are we fulfilling the mission? (hint: probably not) Cristian ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
On 4 March 2015 at 04:28, Pine W wiki.p...@gmail.com wrote: I'm not sure how much influence I have, but I would be happy to make whispers in appropriate places to try to get more support, if that's helpful. I think I'm probably good, but thank you. Perhaps you could show your work at the next Research and Data showcase? I for one would be interested in seeing a presentation. That's in 3 weeks; I'm not convinced that a piece of substantive, useful research about global reach could be done in that time period even if I could drop everything I currently have (which I can't). This problem is too big and too important to be scheduled around meetings; things should work the other way around. Scott Hale and I have been working on a paper looking at global reach and how it tracks with internet access growth, in the context of editing, particularly looking at the mobile web. That, we should be done with by then; presenting it could be highly useful (Scott? ;p) Pine This is an Encyclopedia One gateway to the wide garden of knowledge, where lies The deep rock of our past, in which we must delve The well of our future, The clear water we must leave untainted for those who come after us, The fertile earth, in which truth may grow in bright places, tended by many hands, And the broad fall of sunshine, warming our first steps toward knowing how much we do not know. —Catherine Munro On Wed, Mar 4, 2015 at 1:25 AM, Oliver Keyes oke...@wikimedia.org wrote: That is the question, and I agree with your conclusion. I'm hoping to do more research into this; getting buyin internally has been tough, but I'm confident of making progress on that front over the next few weeks and months. On 4 March 2015 at 04:13, Cristian Consonni kikkocrist...@gmail.com wrote: 2015-03-04 8:44 GMT+01:00 Dario Taraborelli dtarabore...@wikimedia.org: yay, shiny! The map is a pretty compelling way to show how dominant traffic from the US is, even for very minor languages (say bi.wikipedia.org), I wonder how many requests from US-based bots/automata we’re still failing to detect. Still, the question could be: are we fulfilling the mission? (hint: probably not) Cristian ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
'Lots, but that's not currently anyone's job'
On Wednesday, 4 March 2015, Dario Taraborelli dtarabore...@wikimedia.org
wrote:
yay, shiny! The map is a pretty compelling way to show how dominant
traffic from the US is, even for very minor languages (say
bi.wikipedia.org), I wonder how many requests from US-based bots/automata
we’re still failing to detect.
On Mar 3, 2015, at 9:29 PM, Oliver Keyes oke...@wikimedia.org
javascript:; wrote:
Update: the original Shiny instance went down due to server load soon
after release. It's now up again at http://datavis.wmflabs.org/where/
on a dedicated Labs machine, where we hope to put...many more
visualisations. It also now has mapping, largely thanks to Sarah
Laplante (http://sarahlaplante.com/), and soon it will hopefully be
/non-hideous/ mapping (the current mass of blue and grey is because my
aesthetic tastes are...I don't actually have any aesthetic tastes)
On 2 March 2015 at 22:36, Oliver Keyes oke...@wikimedia.org
javascript:; wrote:
Indeed! Orienting it that way (pivoting on language rather than
project) is something several people have asked for; I plan to spend a
chunk of my spare time (that is, recreational time) trying to make it
work. Should be fairly trivial.
On 2 March 2015 at 09:55, h hant...@gmail.com javascript:; wrote:
Hello Finn,
I do not have a specific answer to your question. However, it might
be
worthwhile to add Finnish in to the comparison as according to the
CLDR 26
T-L information
http://www.unicode.org/cldr/charts/26/supplemental/territory_language_information.html
You have some sizable Finnish language speakers in Sweden:
Swedish {O} sv 95.0% 99.0%
Finnish {OR} fi 2.2%
So if the similar query is executed on Finnish language, and the
results
also show some undue proportion of visits from Sweden, then what you
observed as anomaly is the that unique. We probably need many
iterations of
comparative outcomes and normalization of data (Sweden does have higher
population). Also, it might be handy to have some statistics on
immigration
or residence, it is EU. I will not be surprised that for example the
visits
from Oxford to Wikipedia website have sizable German language requests.
I am still a bit bothered by the number 1 in the current dataset.
It
does not feel right since the numbers of 1.4% and 0.6% is a notable
difference in this regard. Perhaps we need some high precision
universal
percentage number for each territory-language pair. It would be also
great
to do another set of aggregation: i.e. given a territory, which
language
versions of Wikipedia are accessed
Best,
han-teng liao
2015-03-02 13:54 GMT+01:00 Finn Årup Nielsen f...@imm.dtu.dk
javascript:;:
Hi Oliver,
Interesting dataset! I am curious about why the Danish Wikipedia is so
highly acccessed from Sweden. Could it be an error, e.g., with Telia
IP-numbers?
In Python:
import pandas as pd
df =
pd.read_csv('
http://files.figshare.com/1923822/language_pageviews_per_country.tsv',
sep='\t')
df.ix[df.project == 'da.wikipedia.org', ['country',
'pageviews_percentage']].set_index('country') pageviews_percentage
country
Austria1
China 1
Denmark 61
Estonia1
France 1
Germany2
Netherlands2
Norway 1
Sweden18
United Kingdom 3
United States 3
Other 5
MaxMind has some numbers on their own accuracy:
https://www.maxmind.com/en/geoip2-city-database-accuracy
For Denmark 85% is Correctly Resolved, for Sweden only 68%. I
wonder if
this really could bias the result so much.
If the numbers are correct why would the Swedish read the Danish
Wikipedia
so much? Bots? It does not apply the other way around: Only 2% of the
traffic to Swedish Wikipedia comes from Denmark.
best regards
Finn
On 02/25/2015 10:06 PM, Oliver Keyes wrote:
Hey all!
We've released a highly-aggregated dataset of readership data -
specifically, data about where, geographically, traffic to each of
our
projects (and all of our projects) comes from. The data can be found
at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally,
I've
put together an exploration tool for it at
https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/
Hope it's useful to people!
--
Finn Årup Nielsen
http://people.compute.dtu.dk/faan/
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org javascript:;
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
I'm not sure how much influence I have, but I would be happy to make whispers in appropriate places to try to get more support, if that's helpful. Perhaps you could show your work at the next Research and Data showcase? I for one would be interested in seeing a presentation. Pine *This is an Encyclopedia* https://www.wikipedia.org/ *One gateway to the wide garden of knowledge, where lies The deep rock of our past, in which we must delve The well of our future,The clear water we must leave untainted for those who come after us,The fertile earth, in which truth may grow in bright places, tended by many hands,And the broad fall of sunshine, warming our first steps toward knowing how much we do not know.* *—Catherine Munro* On Wed, Mar 4, 2015 at 1:25 AM, Oliver Keyes oke...@wikimedia.org wrote: That is the question, and I agree with your conclusion. I'm hoping to do more research into this; getting buyin internally has been tough, but I'm confident of making progress on that front over the next few weeks and months. On 4 March 2015 at 04:13, Cristian Consonni kikkocrist...@gmail.com wrote: 2015-03-04 8:44 GMT+01:00 Dario Taraborelli dtarabore...@wikimedia.org : yay, shiny! The map is a pretty compelling way to show how dominant traffic from the US is, even for very minor languages (say bi.wikipedia.org), I wonder how many requests from US-based bots/automata we’re still failing to detect. Still, the question could be: are we fulfilling the mission? (hint: probably not) Cristian ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
Oliver: Scott Hale and I have been working on a paper looking at global reach and how it tracks with internet access growth, in the context of editing, particularly looking at the mobile web. That, we should be done with by then; presenting it could be highly useful (Scott? ;p) I see what you did there, Oliver :J I believe the showcase in is two weeks (3rd Wednesday of the month), which is a bit too tight to make sure everything is really checked and accurate. I'm in Asia in April, but *we* could definitely present in May on the work, which as Oliver said is correlating Wikipedia editor numbers with mobile and broadband penetration data on a country level. Dario: I wonder how many requests from US-based bots/automata we’re still failing to detect. This reminds me that I would like to engage with the technical development team on the idea of storing the application (i.e., oauth consumer id) for each edit made through the API. Not all bots use the API, I guess, but I would venture that many (maybe most) do and tracking them would then become trivial. Tracking the applications used to make edits via the API would also allow tracking of alternative editing interfaces (e.g., visual editor uses the API and perhaps AutoWikiBrowser or others do as well.) I've never proposed any technical enhancement requests for Mediawiki and so very much welcome guidance. Best wishes, Scott ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
yay, shiny! The map is a pretty compelling way to show how dominant traffic
from the US is, even for very minor languages (say bi.wikipedia.org), I wonder
how many requests from US-based bots/automata we’re still failing to detect.
On Mar 3, 2015, at 9:29 PM, Oliver Keyes oke...@wikimedia.org wrote:
Update: the original Shiny instance went down due to server load soon
after release. It's now up again at http://datavis.wmflabs.org/where/
on a dedicated Labs machine, where we hope to put...many more
visualisations. It also now has mapping, largely thanks to Sarah
Laplante (http://sarahlaplante.com/), and soon it will hopefully be
/non-hideous/ mapping (the current mass of blue and grey is because my
aesthetic tastes are...I don't actually have any aesthetic tastes)
On 2 March 2015 at 22:36, Oliver Keyes oke...@wikimedia.org wrote:
Indeed! Orienting it that way (pivoting on language rather than
project) is something several people have asked for; I plan to spend a
chunk of my spare time (that is, recreational time) trying to make it
work. Should be fairly trivial.
On 2 March 2015 at 09:55, h hant...@gmail.com wrote:
Hello Finn,
I do not have a specific answer to your question. However, it might be
worthwhile to add Finnish in to the comparison as according to the CLDR 26
T-L information
http://www.unicode.org/cldr/charts/26/supplemental/territory_language_information.html
You have some sizable Finnish language speakers in Sweden:
Swedish {O} sv 95.0% 99.0%
Finnish {OR} fi 2.2%
So if the similar query is executed on Finnish language, and the results
also show some undue proportion of visits from Sweden, then what you
observed as anomaly is the that unique. We probably need many iterations of
comparative outcomes and normalization of data (Sweden does have higher
population). Also, it might be handy to have some statistics on immigration
or residence, it is EU. I will not be surprised that for example the visits
from Oxford to Wikipedia website have sizable German language requests.
I am still a bit bothered by the number 1 in the current dataset. It
does not feel right since the numbers of 1.4% and 0.6% is a notable
difference in this regard. Perhaps we need some high precision universal
percentage number for each territory-language pair. It would be also great
to do another set of aggregation: i.e. given a territory, which language
versions of Wikipedia are accessed
Best,
han-teng liao
2015-03-02 13:54 GMT+01:00 Finn Årup Nielsen f...@imm.dtu.dk:
Hi Oliver,
Interesting dataset! I am curious about why the Danish Wikipedia is so
highly acccessed from Sweden. Could it be an error, e.g., with Telia
IP-numbers?
In Python:
import pandas as pd
df =
pd.read_csv('http://files.figshare.com/1923822/language_pageviews_per_country.tsv',
sep='\t')
df.ix[df.project == 'da.wikipedia.org', ['country',
'pageviews_percentage']].set_index('country') pageviews_percentage
country
Austria1
China 1
Denmark 61
Estonia1
France 1
Germany2
Netherlands2
Norway 1
Sweden18
United Kingdom 3
United States 3
Other 5
MaxMind has some numbers on their own accuracy:
https://www.maxmind.com/en/geoip2-city-database-accuracy
For Denmark 85% is Correctly Resolved, for Sweden only 68%. I wonder if
this really could bias the result so much.
If the numbers are correct why would the Swedish read the Danish Wikipedia
so much? Bots? It does not apply the other way around: Only 2% of the
traffic to Swedish Wikipedia comes from Denmark.
best regards
Finn
On 02/25/2015 10:06 PM, Oliver Keyes wrote:
Hey all!
We've released a highly-aggregated dataset of readership data -
specifically, data about where, geographically, traffic to each of our
projects (and all of our projects) comes from. The data can be found
at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've
put together an exploration tool for it at
https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/
Hope it's useful to people!
--
Finn Årup Nielsen
http://people.compute.dtu.dk/faan/
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
--
Oliver Keyes
Research Analyst
Wikimedia Foundation
--
Oliver Keyes
Research Analyst
Wikimedia Foundation
Re: [Wiki-research-l] [Release]
Update: the original Shiny instance went down due to server load soon
after release. It's now up again at http://datavis.wmflabs.org/where/
on a dedicated Labs machine, where we hope to put...many more
visualisations. It also now has mapping, largely thanks to Sarah
Laplante (http://sarahlaplante.com/), and soon it will hopefully be
/non-hideous/ mapping (the current mass of blue and grey is because my
aesthetic tastes are...I don't actually have any aesthetic tastes)
On 2 March 2015 at 22:36, Oliver Keyes oke...@wikimedia.org wrote:
Indeed! Orienting it that way (pivoting on language rather than
project) is something several people have asked for; I plan to spend a
chunk of my spare time (that is, recreational time) trying to make it
work. Should be fairly trivial.
On 2 March 2015 at 09:55, h hant...@gmail.com wrote:
Hello Finn,
I do not have a specific answer to your question. However, it might be
worthwhile to add Finnish in to the comparison as according to the CLDR 26
T-L information
http://www.unicode.org/cldr/charts/26/supplemental/territory_language_information.html
You have some sizable Finnish language speakers in Sweden:
Swedish {O} sv 95.0% 99.0%
Finnish {OR} fi 2.2%
So if the similar query is executed on Finnish language, and the results
also show some undue proportion of visits from Sweden, then what you
observed as anomaly is the that unique. We probably need many iterations of
comparative outcomes and normalization of data (Sweden does have higher
population). Also, it might be handy to have some statistics on immigration
or residence, it is EU. I will not be surprised that for example the visits
from Oxford to Wikipedia website have sizable German language requests.
I am still a bit bothered by the number 1 in the current dataset. It
does not feel right since the numbers of 1.4% and 0.6% is a notable
difference in this regard. Perhaps we need some high precision universal
percentage number for each territory-language pair. It would be also great
to do another set of aggregation: i.e. given a territory, which language
versions of Wikipedia are accessed
Best,
han-teng liao
2015-03-02 13:54 GMT+01:00 Finn Årup Nielsen f...@imm.dtu.dk:
Hi Oliver,
Interesting dataset! I am curious about why the Danish Wikipedia is so
highly acccessed from Sweden. Could it be an error, e.g., with Telia
IP-numbers?
In Python:
import pandas as pd
df =
pd.read_csv('http://files.figshare.com/1923822/language_pageviews_per_country.tsv',
sep='\t')
df.ix[df.project == 'da.wikipedia.org', ['country',
'pageviews_percentage']].set_index('country') pageviews_percentage
country
Austria1
China 1
Denmark 61
Estonia1
France 1
Germany2
Netherlands2
Norway 1
Sweden18
United Kingdom 3
United States 3
Other 5
MaxMind has some numbers on their own accuracy:
https://www.maxmind.com/en/geoip2-city-database-accuracy
For Denmark 85% is Correctly Resolved, for Sweden only 68%. I wonder if
this really could bias the result so much.
If the numbers are correct why would the Swedish read the Danish Wikipedia
so much? Bots? It does not apply the other way around: Only 2% of the
traffic to Swedish Wikipedia comes from Denmark.
best regards
Finn
On 02/25/2015 10:06 PM, Oliver Keyes wrote:
Hey all!
We've released a highly-aggregated dataset of readership data -
specifically, data about where, geographically, traffic to each of our
projects (and all of our projects) comes from. The data can be found
at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've
put together an exploration tool for it at
https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/
Hope it's useful to people!
--
Finn Årup Nielsen
http://people.compute.dtu.dk/faan/
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
--
Oliver Keyes
Research Analyst
Wikimedia Foundation
--
Oliver Keyes
Research Analyst
Wikimedia Foundation
___
Wiki-research-l mailing list
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Re: [Wiki-research-l] [Release]
Indeed! Orienting it that way (pivoting on language rather than
project) is something several people have asked for; I plan to spend a
chunk of my spare time (that is, recreational time) trying to make it
work. Should be fairly trivial.
On 2 March 2015 at 09:55, h hant...@gmail.com wrote:
Hello Finn,
I do not have a specific answer to your question. However, it might be
worthwhile to add Finnish in to the comparison as according to the CLDR 26
T-L information
http://www.unicode.org/cldr/charts/26/supplemental/territory_language_information.html
You have some sizable Finnish language speakers in Sweden:
Swedish {O} sv 95.0% 99.0%
Finnish {OR} fi 2.2%
So if the similar query is executed on Finnish language, and the results
also show some undue proportion of visits from Sweden, then what you
observed as anomaly is the that unique. We probably need many iterations of
comparative outcomes and normalization of data (Sweden does have higher
population). Also, it might be handy to have some statistics on immigration
or residence, it is EU. I will not be surprised that for example the visits
from Oxford to Wikipedia website have sizable German language requests.
I am still a bit bothered by the number 1 in the current dataset. It
does not feel right since the numbers of 1.4% and 0.6% is a notable
difference in this regard. Perhaps we need some high precision universal
percentage number for each territory-language pair. It would be also great
to do another set of aggregation: i.e. given a territory, which language
versions of Wikipedia are accessed
Best,
han-teng liao
2015-03-02 13:54 GMT+01:00 Finn Årup Nielsen f...@imm.dtu.dk:
Hi Oliver,
Interesting dataset! I am curious about why the Danish Wikipedia is so
highly acccessed from Sweden. Could it be an error, e.g., with Telia
IP-numbers?
In Python:
import pandas as pd
df =
pd.read_csv('http://files.figshare.com/1923822/language_pageviews_per_country.tsv',
sep='\t')
df.ix[df.project == 'da.wikipedia.org', ['country',
'pageviews_percentage']].set_index('country') pageviews_percentage
country
Austria1
China 1
Denmark 61
Estonia1
France 1
Germany2
Netherlands2
Norway 1
Sweden18
United Kingdom 3
United States 3
Other 5
MaxMind has some numbers on their own accuracy:
https://www.maxmind.com/en/geoip2-city-database-accuracy
For Denmark 85% is Correctly Resolved, for Sweden only 68%. I wonder if
this really could bias the result so much.
If the numbers are correct why would the Swedish read the Danish Wikipedia
so much? Bots? It does not apply the other way around: Only 2% of the
traffic to Swedish Wikipedia comes from Denmark.
best regards
Finn
On 02/25/2015 10:06 PM, Oliver Keyes wrote:
Hey all!
We've released a highly-aggregated dataset of readership data -
specifically, data about where, geographically, traffic to each of our
projects (and all of our projects) comes from. The data can be found
at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've
put together an exploration tool for it at
https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/
Hope it's useful to people!
--
Finn Årup Nielsen
http://people.compute.dtu.dk/faan/
___
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___
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--
Oliver Keyes
Research Analyst
Wikimedia Foundation
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Re: [Wiki-research-l] [Release]
Hello Finn,
I do not have a specific answer to your question. However, it might be
worthwhile to add Finnish in to the comparison as according to the CLDR 26
T-L information
http://www.unicode.org/cldr/charts/26/supplemental/territory_language_information.html
You have some sizable Finnish language speakers in Sweden:
Swedish {O} sv 95.0% 99.0%
Finnish {OR} fi 2.2%
So if the similar query is executed on Finnish language, and the
results also show some undue proportion of visits from Sweden, then what
you observed as anomaly is the that unique. We probably need many
iterations of comparative outcomes and normalization of data (Sweden does
have higher population). Also, it might be handy to have some statistics
on immigration or residence, it is EU. I will not be surprised that for
example the visits from Oxford to Wikipedia website have sizable German
language requests.
I am still a bit bothered by the number 1 in the current dataset. It
does not feel right since the numbers of 1.4% and 0.6% is a notable
difference in this regard. Perhaps we need some high precision universal
percentage number for each territory-language pair. It would be also great
to do another set of aggregation: i.e. given a territory, which language
versions of Wikipedia are accessed
Best,
han-teng liao
2015-03-02 13:54 GMT+01:00 Finn Årup Nielsen f...@imm.dtu.dk:
Hi Oliver,
Interesting dataset! I am curious about why the Danish Wikipedia is so
highly acccessed from Sweden. Could it be an error, e.g., with Telia
IP-numbers?
In Python:
import pandas as pd
df = pd.read_csv('http://files.figshare.com/1923822/language_
pageviews_per_country.tsv', sep='\t')
df.ix[df.project == 'da.wikipedia.org', ['country',
'pageviews_percentage']].set_index('country') pageviews_percentage
country
Austria1
China 1
Denmark 61
Estonia1
France 1
Germany2
Netherlands2
Norway 1
Sweden18
United Kingdom 3
United States 3
Other 5
MaxMind has some numbers on their own accuracy:
https://www.maxmind.com/en/geoip2-city-database-accuracy
For Denmark 85% is Correctly Resolved, for Sweden only 68%. I wonder if
this really could bias the result so much.
If the numbers are correct why would the Swedish read the Danish Wikipedia
so much? Bots? It does not apply the other way around: Only 2% of the
traffic to Swedish Wikipedia comes from Denmark.
best regards
Finn
On 02/25/2015 10:06 PM, Oliver Keyes wrote:
Hey all!
We've released a highly-aggregated dataset of readership data -
specifically, data about where, geographically, traffic to each of our
projects (and all of our projects) comes from. The data can be found
at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've
put together an exploration tool for it at
https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/
Hope it's useful to people!
--
Finn Årup Nielsen
http://people.compute.dtu.dk/faan/
___
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Re: [Wiki-research-l] [Release]
Hi Oliver,
Interesting dataset! I am curious about why the Danish Wikipedia is so
highly acccessed from Sweden. Could it be an error, e.g., with Telia
IP-numbers?
In Python:
import pandas as pd
df =
pd.read_csv('http://files.figshare.com/1923822/language_pageviews_per_country.tsv',
sep='\t')
df.ix[df.project == 'da.wikipedia.org', ['country',
'pageviews_percentage']].set_index('country')
pageviews_percentage
country
Austria1
China 1
Denmark 61
Estonia1
France 1
Germany2
Netherlands2
Norway 1
Sweden18
United Kingdom 3
United States 3
Other 5
MaxMind has some numbers on their own accuracy:
https://www.maxmind.com/en/geoip2-city-database-accuracy
For Denmark 85% is Correctly Resolved, for Sweden only 68%. I wonder
if this really could bias the result so much.
If the numbers are correct why would the Swedish read the Danish
Wikipedia so much? Bots? It does not apply the other way around: Only 2%
of the traffic to Swedish Wikipedia comes from Denmark.
best regards
Finn
On 02/25/2015 10:06 PM, Oliver Keyes wrote:
Hey all!
We've released a highly-aggregated dataset of readership data -
specifically, data about where, geographically, traffic to each of our
projects (and all of our projects) comes from. The data can be found
at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've
put together an exploration tool for it at
https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/
Hope it's useful to people!
--
Finn Årup Nielsen
http://people.compute.dtu.dk/faan/
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[Wiki-research-l] [Release]
Hey all! We've released a highly-aggregated dataset of readership data - specifically, data about where, geographically, traffic to each of our projects (and all of our projects) comes from. The data can be found at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've put together an exploration tool for it at https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/ Hope it's useful to people! -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
Great job. Who knew Esperanto was big in Japan and China at #2 and #3? On Wed, Feb 25, 2015 at 4:06 PM, Oliver Keyes oke...@wikimedia.org wrote: Hey all! We've released a highly-aggregated dataset of readership data - specifically, data about where, geographically, traffic to each of our projects (and all of our projects) comes from. The data can be found at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've put together an exploration tool for it at https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/ Hope it's useful to people! -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
The one major caveat, I think, is that the danger of proportionate data is that it makes small projects very vulnerable to artificial traffic spikes. I'd go out on a limb and say that some of the massive bumps in popularity we see in particular combinations are likely due to either undetected automata or simply a project having so little traffic that a small number of people can sway the results outlandishly. On 25 February 2015 at 16:32, Andrew Lih andrew@gmail.com wrote: Great job. Who knew Esperanto was big in Japan and China at #2 and #3? On Wed, Feb 25, 2015 at 4:06 PM, Oliver Keyes oke...@wikimedia.org wrote: Hey all! We've released a highly-aggregated dataset of readership data - specifically, data about where, geographically, traffic to each of our projects (and all of our projects) comes from. The data can be found at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've put together an exploration tool for it at https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/ Hope it's useful to people! -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Release]
This is really, really cool, great job guys! G Giovanni Luca Ciampaglia ✎ 919 E 10th ∙ Bloomington 47408 IN ∙ USA ☞ http://www.glciampaglia.com/ ✆ +1 812 855-7261 ✉ gciam...@indiana.edu 2015-02-25 16:06 GMT-05:00 Oliver Keyes oke...@wikimedia.org: Hey all! We've released a highly-aggregated dataset of readership data - specifically, data about where, geographically, traffic to each of our projects (and all of our projects) comes from. The data can be found at http://dx.doi.org/10.6084/m9.figshare.1317408 - additionally, I've put together an exploration tool for it at https://ironholds.shinyapps.io/WhereInTheWorldIsWikipedia/ Hope it's useful to people! -- Oliver Keyes Research Analyst Wikimedia Foundation ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
