Literature DB >> 26565272

Analytical calculation of average fixation time in evolutionary graphs.

Marziyeh Askari1, Keivan Aghababaei Samani1.   

Abstract

The ability of a mutant individual to overtake the whole of a population is one of the fundamental problems in evolutionary dynamics. Fixation probability and Average Fixation Time (AFT) are two important parameters to quantify this ability. In this paper we introduce an analytical approach for exact calculation of AFT. Using this method we obtain AFT for two types of evolutionary graphs: cycle graph, as a highly homogeneous graph and star graph, as a highly heterogeneous graph. We use symmetries of these graphs to calculate AFT. Analytical results are confirmed with simulation. We also examine the effect of adding some random edges to each of these structures.

Mesh:

Year:  2015        PMID: 26565272     DOI: 10.1103/PhysRevE.92.042707

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 in total

1.  Suppressors of fixation can increase average fitness beyond amplifiers of selection.

Authors:  Nikhil Sharma; Arne Traulsen
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-06       Impact factor: 12.779

2.  The effect of spatial randomness on the average fixation time of mutants.

Authors:  Suzan Farhang-Sardroodi; Amir H Darooneh; Moladad Nikbakht; Natalia L Komarova; Mohammad Kohandel
Journal:  PLoS Comput Biol       Date:  2017-11-27       Impact factor: 4.475

3.  Population structure determines the tradeoff between fixation probability and fixation time.

Authors:  Josef Tkadlec; Andreas Pavlogiannis; Krishnendu Chatterjee; Martin A Nowak
Journal:  Commun Biol       Date:  2019-04-23

4.  The network structure affects the fixation probability when it couples to the birth-death dynamics in finite population.

Authors:  Mohammad Ali Dehghani; Amir Hossein Darooneh; Mohammad Kohandel
Journal:  PLoS Comput Biol       Date:  2021-10-27       Impact factor: 4.475

5.  Multi-strategy evolutionary games: A Markov chain approach.

Authors:  Mahdi Hajihashemi; Keivan Aghababaei Samani
Journal:  PLoS One       Date:  2022-02-17       Impact factor: 3.240

6.  Transient amplifiers of selection and reducers of fixation for death-Birth updating on graphs.

Authors:  Benjamin Allen; Christine Sample; Robert Jencks; James Withers; Patricia Steinhagen; Lori Brizuela; Joshua Kolodny; Darren Parke; Gabor Lippner; Yulia A Dementieva
Journal:  PLoS Comput Biol       Date:  2020-01-17       Impact factor: 4.475

7.  Limits on amplifiers of natural selection under death-Birth updating.

Authors:  Josef Tkadlec; Andreas Pavlogiannis; Krishnendu Chatterjee; Martin A Nowak
Journal:  PLoS Comput Biol       Date:  2020-01-17       Impact factor: 4.475

  7 in total

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