NATO Science Series: B:
DOI: 10.1007/0-306-47075-6_18
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Surplus Anomaly and Random Geometries

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Cited by 9 publications
(17 citation statements)
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“…Looking at the peak in the probability distribution π(n) that corresponds to the root, one can also check that it becomes smaller in inverse proportion to the polymer size, which means that independently of the size there is always the same number of roots per tree (in this case one). The detailed calculations of the vertex order distribution and the full discussion will be presented in the forthcoming publication [13].…”
Section: Branched Polymers and Constrained Mean-field Modelsmentioning
confidence: 99%
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“…Looking at the peak in the probability distribution π(n) that corresponds to the root, one can also check that it becomes smaller in inverse proportion to the polymer size, which means that independently of the size there is always the same number of roots per tree (in this case one). The detailed calculations of the vertex order distribution and the full discussion will be presented in the forthcoming publication [13].…”
Section: Branched Polymers and Constrained Mean-field Modelsmentioning
confidence: 99%
“…Obviously, the situation is the same as above. In fact, the branched polymer model can be mapped exactly onto this type of balls-in-boxes model [13]. However, the balls-in-boxes model is more general because we can vary the density ρ of the balls.…”
Section: Branched Polymers and Constrained Mean-field Modelsmentioning
confidence: 99%
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“…The interesting point here is that the average size of cities is finite for α The answer is that the excess population concentrates in just one city, which therefore has a finite, large fraction of the total population. This effect has been studied recently [5] in an equilibrium model where an Hamiltonian H = i ln m i was considered. The equilibrium distribution at inverse temperature β = α is clearly given by a power law distribution.…”
mentioning
confidence: 99%
“…Preferential attachment [5,6] is perhaps the best known example. These two approaches are clearly different [1,4,7,8]. In the simplest example, i.e.…”
Section: Introductionmentioning
confidence: 99%