Evidence map›Paper›PMID 36919418›Full record

ArticleJournal of the Royal Society, Interface2023

Categorizing update mechanisms for graph-structured metapopulations.

Sedigheh Yagoobi, Nikhil Sharma, Arne Traulsen

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Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Mixed updating in structured populations.PLoS computational biology · 2026
    Article
  2. Article
  3. Colonization times in Moran process on graphs.PLoS computational biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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  11. Article
  12. Symmetry in models of natural selection.Journal of the Royal Society, Interface · 2023
    Article
  13. Fixation dynamics on hypergraphs.PLoS computational biology · 2023
    Article
  14. 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

3 authors.

Sedigheh YagoobiDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann Strasse 2, Plön 24306, Germany.ORCID 0000-0003-2203-663X
Nikhil SharmaDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann Strasse 2, Plön 24306, Germany.ORCID 0000-0003-0598-016X
Arne TraulsenDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann Strasse 2, Plön 24306, Germany.ORCID 0000-0002-0669-5267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EcosystemModels, BiologicalBiological EvolutionHumansPopulation Dynamicsevolutionary graph theorygraph-structured metapopulationnetwork-structured metapopulationupdate mechanism

Identifiers

PMID36919418
PMCPMC10015335

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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.