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Analysis of community structure in Wikipedia
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Source
International World Wide Web Conference archive
Proceedings of the 18th international conference on World wide web table of contents
Madrid, Spain
POSTER SESSION: Friday, April 24, 2009 table of contents
Pages 1221-1222  
Year of Publication: 2009
ISBN:978-1-60558-487-4
Authors
Dmitry Lizorkin  Institute for System Programming of the Russian Academy of Sciences, Moscow, Russian Fed.
Olena Medelyan  University of Waikato, Hamilton, New Zealand
Maria Grineva  Institute for System Programming of the Russian Academy of Sciences, Moscow, Russian Fed.
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 23,   Downloads (12 Months): 100,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

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ABSTRACT

We present the results of a community detection analysis of the Wikipedia graph. Distinct communities in Wikipedia contain semantically closely related articles. The central topic of a community can be identified using PageRank. Extracted communities can be organized hierarchically similar to manually created Wikipedia category structure.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
F. Bellomi and R. Bonato. Network analysis for Wikipedia. In Wikimania, 2005.
 
2
A. Clauset, M. E. J. Newman, and C. Moore. Finding community structure in very large networks. Physical Review E, 70:066111, 2004.
 
3
D. Milne and I. Witten. An effective, low-cost measure of semantic relatedness obtained from Wikipedia links. In Wikipedia and AI workshop at the AAAI, 2008.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Semantic networks

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Clustering


General Terms:
Experimentation


Keywords:
community detection, graph analysis, wikipedia

Collaborative Colleagues:
Dmitry Lizorkin: colleagues
Olena Medelyan: colleagues
Maria Grineva: colleagues

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