神戸大学附属図書館デジタルアーカイブ
入力補助
English
カテゴリ
学内刊行物
ランキング
アクセスランキング
ダウンロードランキング
https://hdl.handle.net/20.500.14094/90005547
このアイテムのアクセス数:
15
件
(
2024-04-19
09:39 集計
)
閲覧可能ファイル
ファイル
フォーマット
サイズ
閲覧回数
説明
90005547 (fulltext)
pdf
1.80 MB
11
メタデータ
ファイル出力
メタデータID
90005547
アクセス権
open access
出版タイプ
Version of Record
タイトル
The structured backbone of temporal social ties
著者
Kobayashi, Teruyoshi ; Takaguchi, Taro ; Barrat, Alain
著者ID
A0652
研究者ID
1000010387607
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/search/detail?systemId=c58fb9511897c187520e17560c007669
著者名
Kobayashi, Teruyoshi
小林, 照義
コバヤシ, テルヨシ
所属機関名
経済学研究科
著者名
Takaguchi, Taro
著者名
Barrat, Alain
収録物名
Nature Communications
巻(号)
10
ページ
220-220
出版者
Nature Research
刊行日
2019-01-15
公開日
2019-01-28
抄録
In many data sets, information on the structure and temporality of a system coexists with noise and non-essential elements. In networked systems for instance, some edges might be non-essential or exist only by chance. Filtering them out and extracting a set of relevant connections is a non-trivial task. Moreover, mehods put forward until now do not deal with time-resolved network data, which have become increasingly available. Here we develop a method for filtering temporal network data, by defining an adequate temporal null model that allows us to identify pairs of nodes having more interactions than expected given their activities: the significant ties. Moreover, our method can assign a significance to complex structures such as triads of simultaneous interactions, an impossible task for methods based on static representations. Our results hint at ways to represent temporal networks for use in data-driven models.
カテゴリ
経済学研究科
学術雑誌論文
権利
© The Author(s) 2019.
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
詳細を表示
資源タイプ
journal article
言語
English (英語)
eISSN
2041-1723
OPACで所蔵を検索
CiNiiで学外所蔵を検索
関連情報
DOI
https://doi.org/10.1038/s41467-018-08160-3
URI
http://www.kobe-u.ac.jp/research_at_kobe/NEWS/news/2019_01_15_01.html
ホームへ戻る