Quantitative analysis of the top ten wikipedias
|Quantitative analysis of the top ten wikipedias|
|Author(s)||Ortega F., Gonzalez-Barahona J.M., Robles G.|
|Published in||Communications in Computer and Information Science|
|Keyword(s)||collaborative development, growth metrics, quantitative analysis, Wikipedia (Extra: Collaborative development, Diverse community, Future trends, growth metrics, Main characteristics, Quantitative analysis, Quantitative methodology, Wikipedia, Chemical analysis, Computer science)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Quantitative analysis of the top ten wikipedias is a 2008 conference paper written in English by Ortega F., Gonzalez-Barahona J.M., Robles G. and published in Communications in Computer and Information Science.
In a few years, Wikipedia has become one of the information systems with more public of the Internet. Based on a relatively simple architecture it has proven to be capable of supporting the largest and more diverse community of collaborative authorship worldwide. Using a quantitative methodology, (analyzing public Wikipedia databases), we describe the main characteristics of the 10 largest language editions, and the authors that work in them. The methodology is generic enough to be used on the rest of the editions, providing a convenient framework to develop a complete quantitative analysis of the Wikipedia. Among other parameters, we study the evolution of the number of contributions and articles, their size, and the differences in contributions by different authors, inferring some relationships between contribution patterns and content. These relationships reflect (and in part, explain) the evolution of the different language editions so far, as well as their future trends.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.