Nonlinearity + Networks: A 2020 Vision
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Abstract (arXiv)
I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few methods and ideas, including several of personal interest, that I anticipate to be especially important during the next several years. These topics include temporal networks (in which the entities and/or their interactions change in time), stochastic and deterministic dynamical processes on networks, adaptive networks (in which a dynamical process on a network is coupled to dynamics of network structure), and network structure and dynamics that include "higher-order" interactions (which involve three or more entities in a network). I draw examples from a variety of scenarios, including contagion dynamics, opinion models, waves, and coupled oscillators.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Nov 2019.
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Citing papers per year: 2022: 3.
3 papers.
- 2022A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learningcited by 14
- 2022Hypergraphon Mean Field Gamescited by 3
- 2022Deep Ensembles for Graphs with Higher-order Dependenciescited by 3
- 2022A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning8 Sep 2022
- 2022Deep Ensembles for Graphs with Higher-order Dependencies27 May 2022
- 2022Hypergraphon Mean Field Games30 Mar 2022