Not logged in
← Older edit
Newer edit →
Revision as of 12:47, 1 July 2016
1,151 bytes added
12:47, 1 July 2016
no edit summary
== [[Evolutionary graph theory]] ==
| style="vertical-align:top" |[[Image:EGT - Superstar.svg|160px|left|link=Evolutionary graph theory]]
| style="vertical-align:top" |Tutorial on evolutionary graph theory, which provides a formal approach to describe the spreading and fixation (or extinction) of a mutant type in a resident population. The structure of the population is represented as a graph where nodes represent individuals and edges define the neighbourhood of each individual. Interestingly, while the fixation probabilities remain unaffected by the underlying population structure for a large class of graphs, some graphs may act either as amplifiers or suppressors of selection by increasing or decreasing the fixation probabilities as compared to unstructured populations.
<div class="footnote" style="font-size:smaller">
#Lieberman, E., Hauert, C. & Nowak, M. (2005) ''Nature'' '''433''' 312-316 [http://dx.doi.org/10.1038/nature03204 doi: 10.1038/nature03204].
#Jamieson-Lane, A. & Hauert, C. (2015) ''J. Theor. Biol.'' '''382''' 44-56 [http://dx.doi.org/10.1016/j.jtbi.2015.06.029 doi: 10.1016/j.jtbi.2015.06.029].
== [[Stochastic dynamics in finite populations]] ==
Retrieved from "
Evolutionary graph theory
Stochastic Dynamics in Finite Populations
Origin of Cooperators and Defectors
Evolutionary Games and Population Dynamics