NDLI: Inferring Directed Static Networks of Influence from Undirected Temporal Networks

Content Provider	IEEE Xplore Digital Library
Author	Takaguchi, T. Sato, N. Yano, K. Masuda, N.
Copyright Year	2013
Description	Author affiliation: Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan (Sato, N.; Yano, K.) \|\| Global Res. Center for Big Data Math., Nat. Inst. of Inf., Tokyo, Japan (Takaguchi, T.) \|\| Dept. of Math. Inf., Univ. of Tokyo, Tokyo, Japan (Masuda, N.)
Abstract	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.
Starting Page	155
Ending Page	156
File Size	165549
Page Count	2
File Format	PDF
ISBN	9780769549866
ISSN	07303157
DOI	10.1109/COMPSAC.2013.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-22
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Communities Companies Entropy Time series analysis Informatics Joints Probability data analysis complex networks temporal networks transfer entropy
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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