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pmid: 8431646
Numerical experiments suggest that cooperation is a very rare phenomenon in autocatalytic networks with more than about five interacting species. There is strong evidence that the probability for cooperative behavior in random networks decreases at least exponentially and at most as an2 with the number n of interacting species. The evolution of larger persistent networks by subsequent incorporation of additional species into a cooperative network is shown to be even less probable. This leads to the conclusion that hypercycle-type interactions alone are not sufficient to maintain the genetic information of more than a few interacting species in a pure RNA world.
pure RNA world, Models, Biological, Probabilistic models, generic numerical methods in probability and statistics, probability of permanence, Problems related to evolution, cooperative network, persistent networks, hypercycle-type interactions, Selection, Genetic, systems of second-order replicator equations, Probability, genetic information, random additional species, Ecology, natural selection, interacting species, Population dynamics (general), random autocatalytic networks, Lotka-Volterra equations, Genetics and epigenetics, conditions for permanence, Circuits, networks, random networks
pure RNA world, Models, Biological, Probabilistic models, generic numerical methods in probability and statistics, probability of permanence, Problems related to evolution, cooperative network, persistent networks, hypercycle-type interactions, Selection, Genetic, systems of second-order replicator equations, Probability, genetic information, random additional species, Ecology, natural selection, interacting species, Population dynamics (general), random autocatalytic networks, Lotka-Volterra equations, Genetics and epigenetics, conditions for permanence, Circuits, networks, random networks
citations 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). | 14 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |