@techreport{oai:ipsj.ixsq.nii.ac.jp:00096140,
 author = {Bonan, Li and Jianmin, Wu and Mizuho, Iwaihara and Bonan, Li and Jianmin, Wu and Mizuho, Iwaihara},
 issue = {23},
 month = {Nov},
 note = {Wikipedia is known as the largest online encyclopedia, in which articles are constantly contributed and edited by users. Past revisions of articles after edits are also accessible from the public for confirming the edit process. However, the degree of similarity between revisions is very high, so it is difficult to understand and summarize these small changes from revision graphs of Wikipedia edit history. In this paper, we propose an approach to give a concise summary to each change, by utilizing supergrams, which are consecutive unchanged token sequences, and topic detection methods., Wikipedia is known as the largest online encyclopedia, in which articles are constantly contributed and edited by users. Past revisions of articles after edits are also accessible from the public for confirming the edit process. However, the degree of similarity between revisions is very high, so it is difficult to understand and summarize these small changes from revision graphs of Wikipedia edit history. In this paper, we propose an approach to give a concise summary to each change, by utilizing supergrams, which are consecutive unchanged token sequences, and topic detection methods.},
 title = {Tracking topics on revision graphs of Wikipedia edit history},
 year = {2013}
}