The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Dynamics on higher-order networks: a review
Open accessAbstract
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. Here, we 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.
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Cites
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Wandelt, S., Antoniou, C., Birolini, S., Delahaye, D., Dresner, M., Fu, X., Gössling, S., Hong, S.-J., Odoni, A. R., Zanin, M., et al. (2024) · Journal of the Air Transport Research Society · doi:10.1016/j.jatrs.2024.100014 · Cited by 67
“…the nodes of a typical airport network are abstract entities no longer associated to specific physical locations; and the result is a static structure that lacks temporal evolution, even when such dynamic perspective is an important element of air transport Majhi et al. (2022) ; Rocha (2017) .”
Background
Metadata
- Authors
- Majhi, S., Perc, M., & Ghosh, D.
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2022-03
- Volume
- 19
- Issue
- 188
- Pages
- 20220043-20220043
- ISSN
- 1742-5662 (ISSN-L)
- OpenAlex
- W4220689618
- Cited by
- 561
- References
- 132
- FWCI
- 39.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
