Visualizing author contribution statistics in Wikis using an edit significance metric

  • Authors:
  • Peter Kin-Fong Fong;Robert P. Biuk-Aghai

  • Affiliations:
  • University of Macau, Macau S. A. R., China;University of Macau, Macau S. A. R., China

  • Venue:
  • Proceedings of the 7th International Symposium on Wikis and Open Collaboration
  • Year:
  • 2011

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Abstract

Wiki articles tend to be edited multiple times by multiple authors. This makes it difficult to identify individual authors' contributions by human observation alone. We calculate an edit significance metric, using different weights for different types of edits, which reflect the different value placed on them by wiki community members. We then aggregate edit significance values and present them as visualizations to the user to aid in perceiving extent and patterns of contributions.