大会名称 |
---|
2018年 ソサイエティ大会 |
大会コ-ド |
2018S |
開催年 |
2018 |
発行日 |
2018/8/28 |
セッション番号 |
N-2 |
セッション名 |
複雑コミュニケーションサイエンス |
講演日 |
2018/9/11 |
講演場所(会議室等) |
自然科学本館 3F 304講義室 |
講演番号 |
N-2-2 |
タイトル |
Revistting PageRank Sensitivity |
著者名 |
○Hirotada Honda, |
キーワード |
PageRank |
抄録 |
Google's PageRank algorithm was firstly proposed by Brin and Page.Many researchers carried on it, in both computational and theoretical research regions. Especially, the sensitivity analysis has been studied intensively. Thanks to the well-behaved characteristics of Google matrix,it is well known that the principal eigenvalue is always equal to unity.In this paper, we apply Kato's perturbation theory to the sensitivity analysis of Google matrix. We obtain the explicit form of PageRank vector under small perturbation, without assuming that the perturbation is imposed only on a single factor. |
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