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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yagoobi, Sedigheh, Sharma, Nikhil, Traulsen, Arne
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