Propagation graph estimation from individuals' time series of observed states

Hayashi, Tatsuya; Nakamura, Atsuyoshi

Scientific reports, 2022, 12(1), 6078

Permalink : https://hdl.handle.net/2115/85549

このアイテムのアクセス数:298件（2026-02-12 00:29 集計）

ファイル	フォーマット	サイズ	閲覧回数	説明
https://doi.org/10.1038/s41598-022-10031-3			2

アクセス権	metadata only access
URI	https://hdl.handle.net/2115/85549
タイトル	Propagation graph estimation from individuals' time series of observed states
著者	e-Rad_Researcher 80824755 著者名 Hayashi, Tatsuya
著者	e-Rad_Researcher 50344487 著者名 Nakamura, Atsuyoshi
言語	英語
発行日	2022-04-12
出版者	Nature Portfolio
収録物名	Scientific reports
巻(号)	12(1)
ページ	6078
抄録	Various things propagate through the medium of individuals. Some individuals follow the others and take the states similar to their states a small number of time steps later. In this paper, we study the problem of estimating the state propagation order of individuals from the real-valued state sequences of all the individuals.We propose a method of constructing a state propagation graph from individuals' time series of observed states. The propagation order estimated by our proposed method is demonstrated to be significantly more accurate than that by a baseline method (optimal constant delay model) for our synthetic datasets, and also to be consistent with visually recognizable propagation orders for the dataset of Japanese stock price time series and biological cell firing state sequences.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
PISSN	2045-2322
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1038/s41598-022-10031-3