Publications


MixItUp Demo - Toggle Filtering AND Logic



Using Pair Approximations to Predict Takeover Dynamics in Spatially Structured Populations

Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, , 2557-2564, 2007


Status: Published

Citations:

Cite: [bibtex]


My Image

Abstract: The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts affects the rate of flow of infectious disease. Similarly, in evolutionary systems, the topological properties of the underlying population structure affect the rate of flow of genetic information, and thus affect selective pressure. One commonly employed method for quantifying the influence of the population structure on selective pressure is through the analysis of takeover time. In this study, we reformulate takeover time analysis in terms of the well-known Susceptible-Infectious-Susceptible (SIS) model of disease spread. We then adapt an analytical technique, called the pair approximation, to provide a general model of takeover dynamics. We compare the results of this model to simulation data on a total of six regular population structures and discuss the strengths and limitations of the approximation.



[edit database entry]
Stacks Image 525289
(null)

  • Stacks Image 525371
    (null)
  • Stacks Image 525379
    (null)
  • Stacks Image 525375
    (null)


Stacks Image 525306
(null)

  • Stacks Image 525319
    (null)
  • Stacks Image 525314
    (null)
  • Stacks Image 525310
    (null)


Stacks Image 525327
(null)

  • Stacks Image 525331
    (null)
  • Stacks Image 525335
    (null)
  • Stacks Image 525339
    (null)


Stacks Image 525346
(null)

  • Stacks Image 525350
    (null)
  • Stacks Image 525354
    (null)
  • Stacks Image 525358
    (null)


Stacks Image 525386
(null)

  • Stacks Image 525390
    (null)
  • Stacks Image 525394
    (null)
  • Stacks Image 525398
    (null)