Unraveling spurious properties of interaction networks with tailored random networks

We investigate interaction networks that we derive from multivariate time series with methods frequently employed in diverse scientific fields such as biology, quantitative finance, physics, earth and climate sciences, and the neurosciences. Mimicking experimental situations, we generate time series...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2011-08, Vol.6 (8), p.e22826-e22826
Hauptverfasser:	Bialonski, Stephan, Wendler, Martin, Lehnertz, Klaus
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Brain Climate science Clustering Complex systems Computer Science Correlation Correlation coefficient Correlation coefficients Dynamic structural analysis EEG Electroencephalography Empirical analysis Engineering Epilepsy Epilepsy - physiopathology Humans Interdisciplinary aspects Mathematics Medicine Mimicry Models, Neurological Network reliability Networks Neurosciences Nuclear physics Physics Seizures Shortest-path problems Social networks Stochastic processes Stochasticity Studies Time series Topology Trends
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!