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• W4293879844 abstract "We consider a version of D. Price's model for the growth of a bibliographic network, where in each iteration a constant number of citations is randomly allocated according to a weighted combination of accidental (uniformly distributed) and preferential (rich-get-richer) rules. Instead of relying on the typical master equation approach, we formulate and solve this problem in terms of the rank-size distribution. We show that, asymptotically, such a process leads to a Pareto-type 2 distribution with an appealingly interpretable parametrisation. We prove that the solution to the Price model expressed in terms of the rank-size distribution coincides with the expected values of order statistics in an independent Paretian sample. We study the bias and the mean squared error of three well-behaving estimators of the underlying model parameters. An empirical analysis of a large repository of academic papers yields a good fit not only in the tail of the distribution (as it is usually the case in the power law-like framework), but also across the whole domain. Interestingly, the estimated models indicate higher degree of preferentially attached citations and smaller share of randomness than previous studies." @default.
• W4293879844 created "2022-09-01" @default.
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• W4293879844 date "2022-11-01" @default.
• W4293879844 modified "2023-10-17" @default.
• W4293879844 title "Power laws, the Price model, and the Pareto type-2 distribution" @default.
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• W4293879844 doi "https://doi.org/10.1016/j.physa.2022.128059" @default.
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