Chapter

Advances in Information Retrieval

Volume 6611 of the series Lecture Notes in Computer Science pp 460-465

Topical and Structural Linkage in Wikipedia

  • Kelly Y. ItakuraAffiliated withSchool of Computer Science, University of WaterlooSchool of Information Technology, Queensland University of Technology
  • , Charles L. A. ClarkeAffiliated withSchool of Computer Science, University of Waterloo
  • , Shlomo GevaAffiliated withSchool of Information Technology, Queensland University of Technology
  • , Andrew TrotmanAffiliated withDepartment of Computer Science, University of Otago
  • , Wei Chi HuangAffiliated withSchool of Information Technology, Queensland University of Technology

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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.