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.
本文pdf
PDF download   

PayPerView