A Latent Space Analysis of Editor Lifecycles in Wikipedia

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Title: A Latent Space Analysis of Editor Lifecycles in Wikipedia
Authors: Qin, ZiangjuGreene, DerekCunningham, Pádraig
Permanent link: http://hdl.handle.net/10197/6611
Date: 15-Sep-2014
Online since: 2015-06-17T09:05:16Z
Abstract: Collaborations such as Wikipedia are a key part of the valueof the modern Internet. At the same time there is concern that thesecollaborations are threatened by high levels of member turnover. In thispaper we borrow ideas from topic analysis to editor activity on Wikipediaover time into a latent space that oers an insight into the evolvingpatterns of editor behavior. This latent space representation reveals anumber of dierent categories of editor (e.g. content experts, social net-workers) and we show that it does provide a signal that predicts aneditor's departure from the community. We also show that long termeditors gradually diversify their participation by shifting edit preferencefrom one or two namespaces to multiple namespaces and experience rel-atively soft evolution in their editor proles, while short term editorsgenerally distribute their contribution randomly among the namespacesand experience considerably uctuated evolution in their editor proles.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Keywords: Machine learningStatistics
DOI: 10.1007/978-3-319-29009-6_3
Other versions: https://www.kde.cs.uni-kassel.de/ws/muse2014
Language: en
Status of Item: Peer reviewed
Is part of: Revised Selected Papers from the 5th International Workshop on Big Data Analytics in the Social and Ubiquitous Context
Lecture Notes in Computer Science
Conference Details: 5th International Workshop on Mining Ubiquitous and Social Environments (MUSE) at ECML, Nancy, France, 15 September 2014
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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