Difference between revisions of "Analysis of Community Structure in Wikipedia"
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| + | | title = Analysis of Community Structure in Wikipedia | ||
| + | | date = 2009 | ||
| + | | authors = [[Dmitry Lizorkin]]<br />[[Olena Medelyan]]<br />[[Maria P. Grineva]] | ||
| + | | doi = 10.1145/1526709.1526938 | ||
| + | | link = http://dl.acm.org/citation.cfm?doid=1526709.1526938 | ||
| + | }} | ||
'''Analysis of Community Structure in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Dmitry Lizorkin]], [[Olena Medelyan]] and [[Maria P. Grineva]]. | '''Analysis of Community Structure in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Dmitry Lizorkin]], [[Olena Medelyan]] and [[Maria P. Grineva]]. | ||
== Overview == | == Overview == | ||
Authors 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]]. | Authors 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]]. | ||
Revision as of 08:19, 9 October 2019
Authors | Dmitry Lizorkin Olena Medelyan Maria P. Grineva |
|---|---|
Publication date | 2009 |
DOI | 10.1145/1526709.1526938 |
Links | Original |
Analysis of Community Structure in Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Dmitry Lizorkin, Olena Medelyan and Maria P. Grineva.
Overview
Authors 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.
