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arXiv 0907.1470cond-mat.stat-mechphysics.soc-ph
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增长网络度统计的瞬时波动

Finite-time fluctuations in the degree statistics of growing networks

C. Godreche, H. Grandclaude, J. M. Luck

摘要:

本文提出了一个全面的分析模型的度统计增长的网络,新的节点进入一个时间和附加到一个较早的节点根据随机规则。我们依次考虑了具有均匀依恋、线性依恋(Barabási-Albert模型)和具有初始吸引力的广义偏好依恋的模型。主要强调的是有限大小(即,有限时间)的影响,这是表现出不同的行为,在三个制度的尺寸度平面:固定,有限尺寸标度,大偏差。

英文摘要:

This paper presents a comprehensive analysis of the degree statistics in models for growing networks where new nodes enter one at a time and attach to one earlier node according to a stochastic rule. The models with uniform attachment, linear attachment (the Barabási-Albert model), and generalized preferential attachment with initial attractiveness are successively considered. The main emphasis is on finite-size (i.e., finite-time) effects, which are shown to exhibit different behaviors in three regimes of the size-degree plane: stationary, finite-size scaling, large deviations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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