TY - GEN
T1 - Inferring directed static networks of influence from undirected temporal networks
AU - Takaguchi, Taro
AU - Sato, Nobuo
AU - Yano, Kazuo
AU - Masuda, Naoki
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Complex networks
KW - Data analysis
KW - Temporal networks
KW - Transfer entropy
UR - http://www.scopus.com/inward/record.url?scp=84891293995&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891293995&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2013.24
DO - 10.1109/COMPSAC.2013.24
M3 - Conference contribution
AN - SCOPUS:84891293995
SN - 9780769549866
T3 - Proceedings - International Computer Software and Applications Conference
SP - 155
EP - 156
BT - Proceedings - 2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013
PB - IEEE Computer Society
T2 - 2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013
Y2 - 22 July 2013 through 26 July 2013
ER -