Invasion exponents in biological networks
Lloyd Demetrius,
Volker Matthias Gundlach and
Gunter Ochs
Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 5, 651-672
Abstract:
This article is concerned with the characterization of invasion exponents in biological networks defined by a population of replicating elements: molecules, cells, higher organisms. We show that the outcome of competition between an invader and a resident population is a stochastic process, determined by the rate at which a population returns to its steady state after a random perturbation in the parameters that characterize the replicating elements. This return rate is defined by the macroscopic parameter evolutionary entropy, a measure of the diversity of the interaction between the individuals in the population. We also show that the evolutionary stability of a population, that is the invulnerability of a resident to the introduction of an invader competing for the available resources, are given by extremal states of entropy. These results which pertain to networks of interacting molecules, cells and higher organisms, are generalizations of results established for demographic networks, that is populations of replicating organisms parametrized by the ages at which they reproduce and die.
Keywords: Evolutionary stable strategy; Evolutionary entropy; Demographic variance; Reproductive potential; Invasion exponents (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:388:y:2009:i:5:p:651-672
DOI: 10.1016/j.physa.2008.10.048
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