- 著者
- Koji Iwayama Yoshito Hirata Hideyuki Suzuki Kazuyuki Aihara
- 出版者
- 一般社団法人 電子情報通信学会
- 雑誌
- Nonlinear Theory and Its Applications, IEICE (ISSN:21854106)
- 巻号頁・発行日
- vol.4, no.2, pp.160-171, 2013 (Released:2013-04-01)
- 参考文献数
- 40
- 被引用文献数
- 2 6
Change-point detection based on an observed time series has emerged as an important method for detecting changes in dynamics of real-world systems. Recently, recurrence networks have been shown to be useful, which are network representations of recurrences, to analyze underlying dynamics. In this paper, we propose a new method for detecting dynamical changes using recurrence networks. The proposed method extracts a group of time indices that share the same dynamics as a community of the recurrence network. In addition, some numerical simulations are presented to verify the validity of this method.