Dynamical Systems on Networks: A Tutorial
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Abstract (arXiv)
We give a tutorial for the study of dynamical systems on networks. We focus especially on "simple" situations that are tractable analytically, because they can be very insightful and provide useful springboards for the study of more complicated scenarios. We briefly motivate why examining dynamical systems on networks is interesting and important, and we then give several fascinating examples and discuss some theoretical results. We also briefly discuss dynamical systems on dynamical (i.e., time-dependent) networks, overview software implementations, and give an outlook on the field.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Mar 2014.
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Citing papers per year: 2022: 3; 2023: 1; 2024: 1; 2025: 1; 2026: 1.
7 papers.
- 2023CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systemscited by 16
- 2025A Dynamical Systems Perspective on the Analysis of Neural Networkscited by 3
- 2022Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approachcited by 2
- 2026Learning effective models from network dynamics data with multiple initial conditions using weak form SINDycited by 2
- 2022Topological data analysis of truncated contagion mapscited by 0
- 2022Monte Carlo Physarum Machine: Characteristics of Pattern Formation in Continuous Stochastic Transport Networkscited by 0
- 2024Matrix-weighted networks for modeling multidimensional dynamicscited by 0
- 2026Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy28 May 2026
- 2025A Dynamical Systems Perspective on the Analysis of Neural Networks7 Jul 2025
- 2024Matrix-weighted networks for modeling multidimensional dynamics7 Oct 2024
- 2023CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems20 Jun 2023
- 2022Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach8 Aug 2022
- 2022Monte Carlo Physarum Machine: Characteristics of Pattern Formation in Continuous Stochastic Transport Networks4 Apr 2022
- 2022Topological data analysis of truncated contagion maps3 Mar 2022