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Title:Robust clustering of languages across Wikipedia growth
Authors:ID Ban, Kristina (Author)
ID Perc, Matjaž (Author)
ID Levnajić, Zoran (Author)
Files:.pdf Royal_Society_Open_Science_2017_Ban,_Perc,_Levnajic_Robust_clustering_of_languages_across_Wikipedia_growth.pdf (1004,06 KB)
MD5: 784437030DE2755CBED477E37AE251C2
PID: 20.500.12556/dkum/1ea82983-3a92-4356-958e-56c9c439a44d
 
URL http://rsos.royalsocietypublishing.org/lookup/doi/10.1098/rsos.171217
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Wikipedia is the largest existing knowledge repository that is growing on a genuine crowdsourcing support. While the English Wikipedia is the most extensive and the most researched one with over 5 million articles, comparatively little is known about the behaviour and growth of the remaining 283 smaller Wikipedias, the smallest of which, Afar, has only one article. Here, we use a subset of these data, consisting of 14 962 different articles, each of which exists in 26 different languages, from Arabic to Ukrainian. We study the growth of Wikipedias in these languages over a time span of 15 years. We show that, while an average article follows a random path from one language to another, there exist six well-defined clusters of Wikipedias that share common growth patterns. The make-up of these clusters is remarkably robust against the method used for their determination, as we verify via four different clustering methods. Interestingly, the identified Wikipedia clusters have little correlation with language families and groups. Rather, the growth of Wikipedia across different languages is governed by different factors, ranging from similarities in culture to information literacy.
Keywords:Wikipedia, language, growth dynamics, data analysis, clustering
Publication status:Published
Publication version:Version of Record
Year of publishing:2017
Number of pages:str. 1-12
Numbering:Letn. 4, št. 10
PID:20.500.12556/DKUM-68909 New window
ISSN:2054-5703
UDC:004.6
ISSN on article:2054-5703
COBISS.SI-ID:23440904 New window
DOI:10.1098/rsos.171217 New window
NUK URN:URN:SI:UM:DK:EQV5RCRV
Publication date in DKUM:13.11.2017
Views:1692
Downloads:457
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Royal Society open science
Publisher:The Royal Society
ISSN:2054-5703
COBISS.SI-ID:3219791 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:H2020
Project number:642563
Name:Complex Oscillatory Systems: Modeling and Analysis
Acronym:COSMOS

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:13.11.2017

Secondary language

Language:Slovenian
Keywords:Wikipedia, jeziki, dinamika rasti, analiza podatkov, gruče


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