Inferring directed static networks of influence from undirected temporal networks

Taro Takaguchi, Nobuo Sato, Kazuo Yano, Naoki Masuda

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

A temporal network consists of a time series of interaction events, each of which is defined by a triplet composed of the indices of two nodes and the time of the event. Mapping a temporal network to a more tractable static network is often useful. A mapping method was recently proposed on the basis of the so-called transfer entropy (G. V. Steeg and A. Galstyan, in Proc. the 21st Int. Conf. WWW, p.509, 2012). In the proposed method, one generates the directed network of influence in which a directed link represents the causal relationship between activity patterns at two nodes. However, the significance of the inferred links and the sensitivity of results to the parameter values are still unclear. We propose a bootstrap sampling method to statistically configure the directed network of influence. We apply our method to the face-to-face interaction logs between office workers in Japanese companies.

本文言語English
ホスト出版物のタイトルProceedings - 2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013
出版社IEEE Computer Society
ページ155-156
ページ数2
ISBN(印刷版)9780769549866
DOI
出版ステータスPublished - 2013
外部発表はい
イベント2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013 - Kyoto, Japan
継続期間: 2013 7 222013 7 26

出版物シリーズ

名前Proceedings - International Computer Software and Applications Conference
ISSN(印刷版)0730-3157

Conference

Conference2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013
国/地域Japan
CityKyoto
Period13/7/2213/7/26

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ サイエンスの応用

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