Dynamics on higher-order networks: A review
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Abstract (arXiv)
Network science has evolved into an indispensable platform for studying complex systems. But recent research has identified limits of classical networks, where links connect pairs of nodes, to comprehensively describe group interactions. Higher-order networks, where a link can connect more than two nodes, have therefore emerged as a new frontier in network science. Since group interactions are common in social, biological, and technological systems, higher-order networks have recently led to important new discoveries across many fields of research. We here review these works, focusing in particular on the novel aspects of the dynamics that emerges on higher-order networks. We cover a variety of dynamical processes that have thus far been studied, including different synchronization phenomena, contagion processes, the evolution of cooperation, and consensus formation. We also outline open challenges and promising directions for future research.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Mar 2022.
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Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 4; 2026: 1.
11 papers.
- 2023Dirac signal processing of higher-order topological signalscited by 9
- 2023Topo-MLP : A Simplicial Network Without Message Passingcited by 7
- 2022Graph similarity learning for change-point detection in dynamic networkscited by 4
- 2023Learning the effective order of a hypergraph dynamical systemcited by 3
- 2025Higher-Order Causal Structure Learning with Additive Modelscited by 2
- 2025Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learningcited by 1
- 2022Prismal view of ethicscited by 0
- 2023XFlow: Benchmarking Flow Behaviors over Graphscited by 0
- 2025Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networkscited by 0
- 2025Learning Multi-Order Block Structure in Higher-Order Networkscited by 0
- 2026Average shortest-path length in word-adjacency networks: Chinese versus Englishcited by 0
- 2026Average shortest-path length in word-adjacency networks: Chinese versus English10 Jan 2026
- 2025Learning Multi-Order Block Structure in Higher-Order Networks26 Nov 2025
- 2025Higher-Order Causal Structure Learning with Additive Models5 Nov 2025
- 2025Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks22 Jul 2025
- 2025Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning27 May 2025
- 2023Topo-MLP : A Simplicial Network Without Message Passing19 Dec 2023
- 2023XFlow: Benchmarking Flow Behaviors over Graphs7 Aug 2023
- 2023Learning the effective order of a hypergraph dynamical system2 Jun 2023
- 2023Dirac signal processing of higher-order topological signals12 Jan 2023
- 2022Prismal view of ethics26 May 2022
- 2022Graph similarity learning for change-point detection in dynamic networks29 Mar 2022