Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes
| Data(s) |
06/05/2016
06/05/2016
12/04/2016
|
|---|---|
| Resumo |
ACKNOWLEDGMENTS MW and RVD have been supported by the German Federal Ministry for Education and Research (BMBF) via the Young Investigators Group CoSy-CC2 (grant no. 01LN1306A). JFD thanks the Stordalen Foundation and BMBF (project GLUES) for financial support. JK acknowledges the IRTG 1740 funded by DFG and FAPESP. MT Gastner is acknowledged for providing his data on the airline, interstate, and Internet network. P Menck thankfully provided his data on the Scandinavian power grid. We thank S Willner on behalf of the entire zeean team for providing the data on the world trade network. All computations have been performed using the Python package pyunicorn [41] that is available at https://github.com/pik-copan/pyunicorn. Peer reviewed Preprint |
| Identificador |
Wiedermann , M , Donges , J F , Kurths , J & Donner , R V 2016 , ' Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes ' Physical Review. E, Statistical, Nonlinear and Soft Matter Physics , vol 93 , no. 4 , 042308 . , 10.1103/PhysRevE.93.042308 1539-3755 PURE: 58178284 PURE UUID: 145adef0-81ce-4315-a7a7-6b8e80d92286 ArXiv: http://arxiv.org/abs/1509.09293v1 |
| Idioma(s) |
eng |
| Relação |
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics |
| Palavras-Chave | #physics.soc-ph #cs.SI #physics.data-an #QC Physics #QC |
| Tipo |
Journal article |
| Contribuinte(s) |
University of Aberdeen, Natural & Computing Sciences, Physics University of Aberdeen, Institute for Complex Systems and Mathematical Biology (ICSMB) |
