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

DOI10.1063/1.4952963zbMath1374.05221arXiv1604.00971OpenAlexW3103677291WikidataQ39638432 ScholiaQ39638432MaRDI QIDQ4591846

Dominik Traxl, Niklas Boers, Juergen Kurths

Publication date: 17 November 2017

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1604.00971

Mathematics Subject Classification ID

Applications of graph theory (05C90) Deterministic network models in operations research (90B10)

Related Items (1)

Interlayer impacts to deep-coupling dynamical networks: A snapshot of equilibrium stability

Uses Software

• ElemStatLearn
• DeepGraph
• PyData
• PRMLT

Cites Work

• Nonlinear analysis of bivariate data with cross recurrence plots
• Nonlinear dynamics and chaos. Advances and perspectives
• Comparing clusterings -- an information based distance
• 10.1162/153244303321897735
• The Arithmetic of Bell and Stirling Numbers
• Networks
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