Evidence map›Paper›PMID 34504152›Full record

ArticleScientific reports2021

Fixation probabilities in network structured meta-populations.

Sedigheh Yagoobi, Arne Traulsen

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Colonization times in Moran process on graphs.PLoS computational biology · 2025
    Article
  5. Article
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  7. Compartmental structure in the secondary lymphoid tissue can slow downJournal of the Royal Society, Interface · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Fixation dynamics on hypergraphs.PLoS computational biology · 2023
    Article
  18. Article
  19. Impact of population size on early adaptation in rugged fitness landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  20. Categorizing update mechanisms for graph-structured metapopulations.Journal of the Royal Society, Interface · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sedigheh YagoobiDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, 24306, Plön, Germany. yagoobi@evolbio.mpg.de.
Arne TraulsenDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, 24306, Plön, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of population structure on evolutionary dynamics is a long-lasting research topic in evolutionary ecology and population genetics. Evolutionary graph theory is a popular approach to this problem, where individuals are located on the nodes of a network and can replace each other via the links. We study the effect of complex network structure on the fixation probability, but instead of networks of individuals, we model a network of sub-populations with a probability of migration between them. We ask how the structure of such a meta-population and the rate of migration affect the fixation probability. Many of the known results for networks of individuals carry over to meta-populations, in particular for regular networks or low symmetric migration probabilities. However, when patch sizes differ we find interesting deviations between structured meta-populations and networks of individuals. For example, a two patch structure with unequal population size suppresses selection for low migration probabilities.

Identifiers

PMID34504152
PMCPMC8429422

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