期刊
CHAOS
卷 20, 期 1, 页码 -出版社
AIP Publishing
DOI: 10.1063/1.3360561
关键词
complex networks; nonlinear dynamical systems; time series; topology
资金
- German National Academic Foundation
- Deutsche Forschungsgemeinschaft [LE 660/4-1]
We consider recent reports on small-world topologies of interaction networks derived from the dynamics of spatially extended systems that are investigated in diverse scientific fields such as neurosciences, geophysics, or meteorology. With numerical simulations that mimic typical experimental situations, we have identified an important constraint when characterizing such networks: indications of a small-world topology can be expected solely due to the spatial sampling of the system along with the commonly used time series analysis based approaches to network characterization.
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