TY  - CHAP
A1  - Bialonski, Stephan
A1  - Lehnertz, Klaus
T1  - From time series to complex networks: an overview
T2  - Recent Advances in Predicting and Preventing Epileptic Seizures: Proceedings of the 5th International Workshop on Seizure Prediction
N2  - The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.
Y1  - 2013
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/8479
SN  - 978-981-4525-36-7
SP  - 132
EP  - 147
ER  -