Deep graphs—A general framework to represent and analyze heterogeneous complex systems across scales-Reference-Cited by-同舟云学术

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Deep graphs—A general framework to represent and analyze heterogeneous complex systems across scales

Published:2016-06 Issue:6 Volume:26 Page:065303
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Traxl Dominik¹²³^ORCID,Boers Niklas³⁴,Kurths Jürgen¹³⁵^ORCID

Affiliation:

1. Department of Physics, Humboldt Universität zu Berlin, Berlin, Germany

2. Bernstein Center for Computational Neuroscience, Berlin, Germany

3. Potsdam Institute for Climate Impact Research, Potsdam, Germany

4. Geosciences Department and Laboratoire de Météorologie Dynamique, Ecole Normale Supérieure, Paris, France

5. Department of Control Theory, Nizhny Novgorod State University, 603950 Nizhny Novgorod, Russia

Funder

Deutsche Forschungsgemeinschaft (DFG)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Bundesministerium für Bildung und Forschung (BMBF)

Alexander von Humboldt-Stiftung (Humboldt Foundation)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4952963

Reference57 articles.

1. Probability theory: the logic of science

2. Nonlinear Dynamics and Chaos: Advances and Perspectives

3. M. J. Osborne and A. Rubinstein ,A Course in Game Theory( MIT Press, 1994), p. 352.

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