Cargando…
Categorizing update mechanisms for graph-structured metapopulations
The structure of a population strongly influences its evolutionary dynamics. In various settings ranging from biology to social systems, individuals tend to interact more often with those present in their proximity and rarely with those far away. A common approach to model the structure of a populat...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015335/ https://www.ncbi.nlm.nih.gov/pubmed/36919418 http://dx.doi.org/10.1098/rsif.2022.0769 |
_version_ | 1784907189165490176 |
---|---|
author | Yagoobi, Sedigheh Sharma, Nikhil Traulsen, Arne |
author_facet | Yagoobi, Sedigheh Sharma, Nikhil Traulsen, Arne |
author_sort | Yagoobi, Sedigheh |
collection | PubMed |
description | The structure of a population strongly influences its evolutionary dynamics. In various settings ranging from biology to social systems, individuals tend to interact more often with those present in their proximity and rarely with those far away. A common approach to model the structure of a population is evolutionary graph theory. In this framework, each graph node is occupied by a reproducing individual. The links connect these individuals to their neighbours. The offspring can be placed on neighbouring nodes, replacing the neighbours—or the progeny of its neighbours can replace a node during the course of ongoing evolutionary dynamics. Extending this theory by replacing single individuals with subpopulations at nodes yields a graph-structured metapopulation. The dynamics between the different local subpopulations is set by an update mechanism. There are many such update mechanisms. Here, we classify update mechanisms for structured metapopulations, which allows to find commonalities between past work and illustrate directions for further research and current gaps of investigation. |
format | Online Article Text |
id | pubmed-10015335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100153352023-03-16 Categorizing update mechanisms for graph-structured metapopulations Yagoobi, Sedigheh Sharma, Nikhil Traulsen, Arne J R Soc Interface Life Sciences–Mathematics interface The structure of a population strongly influences its evolutionary dynamics. In various settings ranging from biology to social systems, individuals tend to interact more often with those present in their proximity and rarely with those far away. A common approach to model the structure of a population is evolutionary graph theory. In this framework, each graph node is occupied by a reproducing individual. The links connect these individuals to their neighbours. The offspring can be placed on neighbouring nodes, replacing the neighbours—or the progeny of its neighbours can replace a node during the course of ongoing evolutionary dynamics. Extending this theory by replacing single individuals with subpopulations at nodes yields a graph-structured metapopulation. The dynamics between the different local subpopulations is set by an update mechanism. There are many such update mechanisms. Here, we classify update mechanisms for structured metapopulations, which allows to find commonalities between past work and illustrate directions for further research and current gaps of investigation. The Royal Society 2023-03-15 /pmc/articles/PMC10015335/ /pubmed/36919418 http://dx.doi.org/10.1098/rsif.2022.0769 Text en © 2023 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 | Life Sciences–Mathematics interface Yagoobi, Sedigheh Sharma, Nikhil Traulsen, Arne Categorizing update mechanisms for graph-structured metapopulations |
title | Categorizing update mechanisms for graph-structured metapopulations |
title_full | Categorizing update mechanisms for graph-structured metapopulations |
title_fullStr | Categorizing update mechanisms for graph-structured metapopulations |
title_full_unstemmed | Categorizing update mechanisms for graph-structured metapopulations |
title_short | Categorizing update mechanisms for graph-structured metapopulations |
title_sort | categorizing update mechanisms for graph-structured metapopulations |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015335/ https://www.ncbi.nlm.nih.gov/pubmed/36919418 http://dx.doi.org/10.1098/rsif.2022.0769 |
work_keys_str_mv | AT yagoobisedigheh categorizingupdatemechanismsforgraphstructuredmetapopulations AT sharmanikhil categorizingupdatemechanismsforgraphstructuredmetapopulations AT traulsenarne categorizingupdatemechanismsforgraphstructuredmetapopulations |