Implementation and Evaluation of a Framework to Calculate Impact Measures for Wikipedia Authors

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Implementation and Evaluation of a Framework to Calculate Impact Measures for Wikipedia Authors
Authors
Sebastian Neef
Publication date
2017
Links
Original Preprint

Implementation and Evaluation of a Framework to Calculate Impact Measures for Wikipedia Authors - scientific work related to Wikipedia quality published in 2017, written by Sebastian Neef.

Overview

Wikipedia, an open collaborative website, can be edited by anyone, even anonymously, thus becoming victim to ill-intentioned changes. Therefore, ranking Wikipedia authors by calculating impact measures based on the edit history can help to identify reputational users or harmful activity such as vandalism cite{Adler:2008:MAC:1822258.1822279}. However, processing millions of edits on one system can take a long time. The author implements an open source framework to calculate such rankings in a distributed way (MapReduce) and evaluates its performance on various sized datasets. A reimplementation of the contribution measures by citeauthor{Adler:2008:MAC:1822258.1822279} demonstrates its extensibility and usability, as well as problems of handling huge datasets and their possible resolutions. The results put different performance optimizations into perspective and show that horizontal scaling can decrease the total processing time.

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Wikipedia Quality

Neef, Sebastian. (2017). "[[Implementation and Evaluation of a Framework to Calculate Impact Measures for Wikipedia Authors]]".

English Wikipedia

{{cite journal |last1=Neef |first1=Sebastian |title=Implementation and Evaluation of a Framework to Calculate Impact Measures for Wikipedia Authors |date=2017 |url=https://wikipediaquality.com/wiki/Implementation_and_Evaluation_of_a_Framework_to_Calculate_Impact_Measures_for_Wikipedia_Authors}}

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Neef, Sebastian. (2017). &quot;<a href="https://wikipediaquality.com/wiki/Implementation_and_Evaluation_of_a_Framework_to_Calculate_Impact_Measures_for_Wikipedia_Authors">Implementation and Evaluation of a Framework to Calculate Impact Measures for Wikipedia Authors</a>&quot;.