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dc.contributor.authorWiedermann, Marc
dc.contributor.authorDonges, Jonathan F.
dc.contributor.authorKurths, Jürgen
dc.contributor.authorDonner, Reik V.
dc.date.accessioned2016-05-06T12:00:07Z
dc.date.available2016-05-06T12:00:07Z
dc.date.issued2016-04-12
dc.identifier58178284
dc.identifier145adef0-81ce-4315-a7a7-6b8e80d92286
dc.identifier84963533733
dc.identifier.citationWiedermann , 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 . https://doi.org/10.1103/PhysRevE.93.042308en
dc.identifier.issn1539-3755
dc.identifier.otherArXiv: http://arxiv.org/abs/1509.09293v1
dc.identifier.urihttp://hdl.handle.net/2164/5969
dc.descriptionACKNOWLEDGMENTS 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.en
dc.format.extent542153
dc.language.isoeng
dc.relation.ispartofPhysical Review. E, Statistical, Nonlinear and Soft Matter Physicsen
dc.subjectphysics.soc-phen
dc.subjectcs.SIen
dc.subjectphysics.data-anen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleSpatial network surrogates for disentangling complex system structure from spatial embedding of nodesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.statusPeer revieweden
dc.identifier.doi10.1103/PhysRevE.93.042308
dc.identifier.urlhttp://arxiv.org/abs/1509.09293v1en


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