An analysis of fixation probability of a mutant on a class of weighted networks under neutral selection

Shaolin Tan, Jinhu Lu, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Recently, evolutionary dynamics on structured population has attracted an increasing attention in various fields. This paper aims at investigating the fixation probability of a mutant under random drift on a class of weighted networks. In particular, we have attained the analytical solutions of fixation probability of mutants on the weighted networks with three different updating rules, including link dynamics, Moran process, and voter model. It should be especially pointed out that the above analytical solutions can be used to further understand and control the evolution processes. Numerical simulations are also given to validate the above analytical solutions. © 2011 IEEE.
Original languageEnglish (US)
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Pages4024-4028
Number of pages5
DOIs
StatePublished - Dec 1 2011
Externally publishedYes

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