优先附着随机图的解析和数值校正方法

2017 International Siberian Conference on Control and Communications (SIBCON) Pub Date : 2017-06-01 DOI:10.1109/SIBCON.2017.7998461

V. Zadorozhnyi, E. B. Yudin, M. N. Yudina

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引用次数: 7

摘要

提出了基于非线性优先依附规则的随机图生长方法，该方法具有顶点和边的依附度分布要求。这些方法的应用使我们能够生成随机图，充分模拟不断增长的随机网络——社会、信息、运输和许多其他网络。给出了所开发方法的应用实例。

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Analytical and numerical methods of calibration for preferential attachment randon graphs

Methods of random graphs growing with nonlinear preferential attachment rule, which have the required distributions of vertices and edges attachment degrees are developed. Application of these methods allows us to generate random graphs, which adequately simulate growing stochastic networks — social, information, transport and many others. Examples of application for the developed methods are given.

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2017 International Siberian Conference on Control and Communications (SIBCON)

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