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Dynamics on higher-order networks: a review
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941407/ https://www.ncbi.nlm.nih.gov/pubmed/35317647 http://dx.doi.org/10.1098/rsif.2022.0043 |
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author | Majhi, Soumen Perc, Matjaž Ghosh, Dibakar |
author_facet | Majhi, Soumen Perc, Matjaž Ghosh, Dibakar |
author_sort | Majhi, Soumen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8941407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-89414072022-03-27 Dynamics on higher-order networks: a review Majhi, Soumen Perc, Matjaž Ghosh, Dibakar J R Soc Interface Review Articles 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. The Royal Society 2022-03-23 /pmc/articles/PMC8941407/ /pubmed/35317647 http://dx.doi.org/10.1098/rsif.2022.0043 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Review Articles Majhi, Soumen Perc, Matjaž Ghosh, Dibakar Dynamics on higher-order networks: a review |
title | Dynamics on higher-order networks: a review |
title_full | Dynamics on higher-order networks: a review |
title_fullStr | Dynamics on higher-order networks: a review |
title_full_unstemmed | Dynamics on higher-order networks: a review |
title_short | Dynamics on higher-order networks: a review |
title_sort | dynamics on higher-order networks: a review |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941407/ https://www.ncbi.nlm.nih.gov/pubmed/35317647 http://dx.doi.org/10.1098/rsif.2022.0043 |
work_keys_str_mv | AT majhisoumen dynamicsonhigherordernetworksareview AT percmatjaz dynamicsonhigherordernetworksareview AT ghoshdibakar dynamicsonhigherordernetworksareview |