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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

ASONAM 2018: Influence and Behavior Analysis in Social Networks and Social Media pp 127–147Cite as

Editing Behavior Analysis for Predicting Active and Inactive Users in Wikipedia

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Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

These days, user-generated content platforms such as social media, question-answering Websites, and open collaboration systems are a source of information for many. These platforms survive, thanks to the pool of active contributors who generate content. As a consequence, they continuously face the problem of acquiring new users and retain them in the platform.

In this paper, we study the case of English Wikipedia, a well-established open collaboration system, and study the problem of predicting whether or not an editor will become inactive and stop contributing to the encyclopedia. Knowing this information can help the administrative community to perform engaging actions on time to keep users contributing longer.

We propose a predictive model leveraging contributors’ editing behavior to identify active vs. inactive Wikipedia users. Our experiments show that our method achieves an AUROC of at least 0.97 in predicting editors who will become inactive and can predict inactive users earlier than the baseline.

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Notes

  1. 1.

    A meta-page is a page which is not a regular article, but it can be, for instance, a User page (where editors describe themselves) or an article Talk page (where editors discuss about the content of the associated Wikipedia article).

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Author information

Authors and Affiliations

  1. Computer Science Department, Boise State University, Boise, ID, USA

    Harish Arelli, Francesca Spezzano & Anu Shrestha

Authors
  1. Harish Arelli
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  2. Francesca Spezzano
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  3. Anu Shrestha
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Corresponding author

Correspondence to Francesca Spezzano .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Firat University, Elazig, Türkiye

    Mehmet Kaya

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

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Arelli, H., Spezzano, F., Shrestha, A. (2019). Editing Behavior Analysis for Predicting Active and Inactive Users in Wikipedia. In: Kaya, M., Alhajj, R. (eds) Influence and Behavior Analysis in Social Networks and Social Media. ASONAM 2018. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-02592-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-02592-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02591-5

  • Online ISBN: 978-3-030-02592-2

  • eBook Packages: Social SciencesSocial Sciences (R0)

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