Topical and structural linkage in wikipedia

  • Authors:
  • Kelly Y. Itakura;Charles L. A. Clarke;Shlomo Geva;Andrew Trotman;Wei Chi Huang

  • Affiliations:
  • School of Computer Science, University of Waterloo, Canada and School of Information Technology, Queensland University of Technology, Australia;School of Computer Science, University of Waterloo, Canada;School of Information Technology, Queensland University of Technology, Australia;Department of Computer Science, University of Otago, New Zealand;School of Information Technology, Queensland University of Technology, Australia

  • Venue:
  • ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
  • Year:
  • 2011

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Abstract

We explore statistical properties of links within Wikipedia. We demonstrate that a simple algorithm can predict many of the links that would normally be added to a new article, without considering the topic of the article itself. We then explore a variant of topic-oriented PageRank, which can effectively identify topical links within existing articles, when compared with manual judgments of their topical relevance. Based on these results, we suggest that linkages within Wikipedia arise from a combination of structural requirements and topical relationships