Evidence map›Paper›PMID 37768362›Full record

ArticleJournal of mathematical biology2023

Fixation probability in evolutionary dynamics on switching temporal networks.

Jnanajyoti Bhaumik, Naoki Masuda

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jnanajyoti BhaumikDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, 14260-2900, USA.
Naoki MasudaDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, 14260-2900, USA. naokimas@gmail.com.ORCID http://orcid.org/0000-0003-1567-801X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population structure has been known to substantially affect evolutionary dynamics. Networks that promote the spreading of fitter mutants are called amplifiers of selection, and those that suppress the spreading of fitter mutants are called suppressors of selection. Research in the past two decades has found various families of amplifiers while suppressors still remain somewhat elusive. It has also been discovered that most networks are amplifiers of selection under the birth-death updating combined with uniform initialization, which is a standard condition assumed widely in the literature. In the present study, we extend the birth-death processes to temporal (i.e., time-varying) networks. For the sake of tractability, we restrict ourselves to switching temporal networks, in which the network structure deterministically alternates between two static networks at constant time intervals or stochastically in a Markovian manner. We show that, in a majority of cases, switching networks are less amplifying than both of the two static networks constituting the switching networks. Furthermore, most small switching networks, i.e., networks on six nodes or less, are suppressors, which contrasts to the case of static networks.

Indexed as

Biological EvolutionContrast MediaProbabilityContrast Mediabirth-death processevolutionary dynamicsevolutionary graph theoryMoran processTemporal networks

Identifiers

PMID37768362
PMCPMC10539469

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Registered trials

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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.