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Host-parasite models on graphs

Authors: Peltomäki, Matti; Vuorinen, Ville; Alava, Mikko; Rost, Martin;

Host-parasite models on graphs

Abstract

The behavior of two interacting populations, ``hosts''and ``parasites'', is investigated on Cayley trees and scale-free networks. In the former case analytical and numerical arguments elucidate a phase diagram, whose most interesting feature is the absence of a tri-critical point as a function of the two independent spreading parameters. For scale-free graphs, the parasite population can be described effectively by Susceptible-Infected-Susceptible-type dynamics in a host background. This is shown both by considering the appropriate dynamical equations and by numerical simulations on Barab��si-Albert networks with the major implication that in the termodynamic limit the critical parasite spreading parameter vanishes.

10 pages, 6 figures, submitted to PRE; analytics redone, new calculations added, references added, appendix removed

Country
Finland
Keywords

Statistical Mechanics (cond-mat.stat-mech), Population Dynamics, FOS: Physical sciences, scale-free networks metapopulation dynamics, Models, Biological, Disease Outbreaks, Host-Parasite Interactions, Parasitic Diseases, Animals, Humans, Computer Simulation, ecology, Condensed Matter - Statistical Mechanics, Ecosystem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
Green
bronze