Modeling New and Old Editors’ Behaviors in Different Languages of Wikipedia
Authors | Anita Chandra Abyayananda Maiti |
|---|---|
Publication date | 2018 |
DOI | 10.1007/978-3-030-02925-8_31 |
Links | Original |
Modeling New and Old Editors’ Behaviors in Different Languages of Wikipedia - scientific work related to Wikipedia quality published in 2018, written by Anita Chandra and Abyayananda Maiti.
Overview
Wikipedia is an open-source multilingual encyclopedia which allows users to edit, create and share their knowledge collaboratively. Size of its contents such as articles, editors, links and language editions grows too fast with time. In this paper, authors model the growth of editor-article bipartite network of multilingual Wikipedias to investigate behaviors of editors. In this bipartite network, editors and articles are two disjoint sets and if an editor edits an article then it forms an edge between them. The both editors and articles arrive simultaneously into their respective sets and editing is done by editors. The Wiki networks grow by the creation of external edits performed by new editors and/or internal edits done by old editors. These edits are done with a combination of preferential and/or random attachment mechanism. Authors consider two different randomness parameters for new and old editors in their attachment procedures. Authors validate the growth model over 20 largest language editions of Wikipedia and results show good agreement between model and each of the considered languages. After interpreting the values of parameters authors notice contrast in editing behaviors of new and old editors in every language. Authors also notice this non-uniform behavior of editors varies across all the languages. Thus, authors report uncommon growth processes and difference in editing behaviors of editors of different languages of Wikipedia.
