Evidence map›Paper›PMID 33534054›Full record

ArticleJournal of mathematical biology2021

Fixation probabilities in evolutionary dynamics under weak selection.

Alex McAvoy, Benjamin Allen

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Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

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36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Hyperedge approximation for stochastic processes on higher-order networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. On the optimal integration of intelligent agents into network systems to steer cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  6. Individual incentives that promote collective intelligence.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  7. Promoters of cooperation in evolutionary games.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  8. Article
  9. Behavioral alignment in social networks.National science review · 2025
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  10. Colonization times in Moran process on graphs.PLoS computational biology · 2025
    Article
  11. Article
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  15. The evolution of social behaviors and risk preferences in settings with uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. The speed of neutral evolution on graphs.Journal of the Royal Society, Interface · 2024
    Article
  18. Article
  19. Multiscale selection in spatially structured populations.Proceedings. Biological sciences · 2024
    Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Alex McAvoyDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA. amcavoy@sas.upenn.edu.ORCID 0000-0002-9110-4635
Benjamin AllenDepartment of Mathematics, Emmanuel College, Boston, MA, 02115, USA.ORCID 0000-0002-9746-7613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In evolutionary dynamics, a key measure of a mutant trait's success is the probability that it takes over the population given some initial mutant-appearance distribution. This "fixation probability" is difficult to compute in general, as it depends on the mutation's effect on the organism as well as the population's spatial structure, mating patterns, and other factors. In this study, we consider weak selection, which means that the mutation's effect on the organism is small. We obtain a weak-selection perturbation expansion of a mutant's fixation probability, from an arbitrary initial configuration of mutant and resident types. Our results apply to a broad class of stochastic evolutionary models, in which the size and spatial structure are arbitrary (but fixed). The problem of whether selection favors a given trait is thereby reduced from exponential to polynomial complexity in the population size, when selection is weak. We conclude by applying these methods to obtain new results for evolutionary dynamics on graphs.

Indexed as

Biological EvolutionModels, BiologicalMutationSelection, GeneticPopulation DensityPopulation DynamicsProbabilityStochastic Processes91A2292D15

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.