Analysis of Vertex Degree Distributions in Preferential Attachment Graphs with Power Weight Function

V. Zadorozhnyi, E. B. Yudin
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Abstract

Preferential attachment graphs with power weight function are considered in the paper. The dependence of vertex degree distributions in the graphs on the weight function parameter is analyzed. The purpose of the analysis is to identify such ranges of the parameter values that cause the homogeneous (within the ranges) types of vertex degree distributions, and to determine the asymptotic properties of these distributions. The paper shows the effectiveness of the approach used for the first time. The approach combines the application of found by the authors exact recurrence formulas of the investigated distributions with approximate explicit expressions of the distributions. The application of obtained results and the approach developed in the study makes it possible to increase the adequacy of modeling of growing networks, whose properties, as is well known, depend significantly on the asymptotic behavior of vertex degree distribution.
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用幂权函数分析优先连接图的顶点度分布
本文研究了具有幂权函数的优先依恋图。分析了图中顶点度分布对权函数参数的依赖关系。分析的目的是确定导致顶点度分布的齐次(在范围内)类型的参数值的范围,并确定这些分布的渐近性质。本文首次验证了该方法的有效性。该方法将所研究分布的精确递推公式的应用与分布的近似显式表达式相结合。研究结果和方法的应用使得增长网络的建模充分性得以提高,众所周知,增长网络的性质在很大程度上取决于顶点度分布的渐近性。
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