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Wikipedia editing dynamics.

Y Gandica1, J Carvalho2, F Sampaio Dos Aidos2

  • 1Centre for Computational Physics, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal and Department of Mathematics and Namur Center for Complex Systems-naXys, University of Namur, rempart de la Vierge 8, B 5000 Namur, Belgium.

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Summary
This summary is machine-generated.

A new model explains Wikipedia editing probability based on editor experience and an aging factor. This preferential attachment model accurately reproduces real-world editing dynamics and averages.

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Area of Science:

  • Computational Social Science
  • Network Science
  • Information Science

Background:

  • Wikipedia's collaborative editing involves complex user interactions.
  • Understanding the dynamics of online content creation is crucial.

Purpose of the Study:

  • To develop and validate a probabilistic model for Wikipedia editing behavior.
  • To identify key factors influencing an editor's probability of contribution.

Main Methods:

  • A probabilistic model incorporating preferential attachment, editor fitness, and an aging factor was developed.
  • The model was compared against simulations and real Wikipedia editing data.
  • A stochastic process framework was used to derive a recursive equation.

Main Results:

  • The model successfully reproduces editing dynamics for individual Wikipedia pages and averaged results.
  • Preferential attachment, editor fitness, and aging were identified as significant factors.
  • A recursive equation was derived to describe average edits per editor.

Conclusions:

  • The proposed model provides a robust framework for understanding Wikipedia editing patterns.
  • The findings highlight the importance of editor experience and an aging effect in collaborative platforms.
  • The model offers insights into the self-organizing nature of large-scale online knowledge bases.