title: Optimizing functional network representation of multivariate time series.
abstract: 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.
authors.affiliation: Faculdade de Ciências e Tecnologia, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, Lisboa, Portugal. massimiliano.zanin@ctb.upm.es
authors.forename: Massimiliano
authors.initials: M
authors.lastname: Zanin
authors.forename: Pedro
authors.initials: P
authors.lastname: Sousa
authors.forename: David
authors.initials: D
authors.lastname: Papo
authors.forename: Ricardo
authors.initials: R
authors.lastname: Bajo
authors.forename: Juan
authors.initials: J
authors.lastname: García-Prieto
authors.forename: Francisco
authors.initials: F
authors.lastname: del Pozo
authors.forename: Ernestina
authors.initials: E
authors.lastname: Menasalvas
authors.forename: Stefano
authors.initials: S
authors.lastname: Boccaletti
mesh_terms: D016022:Case-Control Studies; D060825:Cognitive Dysfunction / Q000175:diagnosis / Q000503:physiopathology / Q000523:psychology; D006801:Humans; D015225:Magnetoencephalography; D008570:Memory, Short-Term; D008954:Models, Biological; D015999:Multivariate Analysis; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D060388:Support Vector Machine