TY  - JOUR
SP  - 1
VL  - 2
UR  - http://www.nature.com/srep/2012/120905/srep00630/full/srep00630.html
JF  - Scientific Reports
SN  - 2045-2322
Y1  - 2012/09/05/
AV  - public
A1  - Zanin, Massimiliano
A1  - Sousa, Pedro
A1  - Papo, David
A1  - Bajo Breton, Ricardo
A1  - García Prieto, Juan
A1  - Pozo, Francisco del
A1  - Menasalvas Ruiz, Ernestina
A1  - Boccaletti, Stefano
EP  - 4
ID  - upm15261
PB  - Nature Publishing Group
TI  - Optimizing Functional Network Representation of Multivariate Time Series
N2  - By combining complex network theory and data mining techniques, we provide objective criteria for optimization of the functional network representation of generic multivariate time series. In particular, we propose a method for the principled selection of the threshold value for functional network reconstruction from raw data, and for proper identification of the network's indicators that unveil the most discriminative information on the system for classification purposes. We illustrate our method by analysing networks of functional brain activity of healthy subjects, and patients suffering from Mild Cognitive Impairment, an intermediate stage between the expected cognitive decline of normal aging and the more pronounced decline of dementia. We discuss extensions of the scope of the proposed methodology to network engineering purposes, and to other data mining tasks.
IS  - 630
ER  -