title: From brain to earth and climate systems: small-world interaction networks or not?
abstract: 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.
authors.affiliation: Department of Epileptology, University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany. bialonski@gmx.net
authors.forename: Stephan
authors.initials: S
authors.lastname: Bialonski
authors.forename: Marie-Therese
authors.initials: MT
authors.lastname: Horstmann
authors.forename: Klaus
authors.initials: K
authors.lastname: Lehnertz
mesh_terms: D000465:Algorithms; D001703:Biophysics / Q000379:methods; D001921:Brain / Q000502:physiology*; D002980:Climate; D016000:Cluster Analysis; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D008962:Models, Theoretical; D009415:Nerve Net