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Participation in wiki communities: reconsidering their statistical characterization.

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The power law distribution poorly models participation in wikis. Instead, the truncated power law better characterizes wiki community contributions and contributor activity, offering insights into community dynamics.

Keywords:
Commons-based peer productionOnline communitiesOpen collaborationParticipation inequalityPower-lawTruncated power-lawWiki communities

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Area of Science:

  • Computational Social Science
  • Network Science
  • Information Science

Background:

  • Peer production communities, like wikis and open source projects, exhibit unequal participation.
  • Participation distribution is often assumed to follow a power law, but recent studies question this dominance.

Purpose of the Study:

  • To critically examine the assumption of power law distribution for participation in wiki communities.
  • To identify alternative distributions that better model wiki participation patterns.
  • To explore the implications of improved participation modeling for understanding online communities.

Main Methods:

  • Statistical analysis of participation data from over 6,000 wikis on Wikia/Fandom.
  • Comparison of empirical participation distributions against various skewed distributions, including the power law and truncated power law.

Main Results:

  • The power law distribution performs poorly in characterizing wiki participation.
  • The truncated power law significantly outperforms the power law and other competing distributions in 99.3% of cases.
  • Truncated power law parameters offer meaningful interpretations of community characteristics and contributor activity.

Conclusions:

  • The truncated power law is a more appropriate model for wiki participation distribution than the power law.
  • This finding enables more accurate predictions of core contributor activity and community dynamics.
  • The study opens new research avenues for characterizing online peer production communities.