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Distance in the Forest Fire Model How far are you from Eve?

机译:森林火灾模型中的距离你来自前夕有多远?

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Leskovec, Kleinberg and Faloutsos (2005) observed that many social networks exhibit properties such as shrinking (i.e. bounded) diameter, densification, and (power-law) heavy tail degree distributions. To explain these phenomena, they introduced a generative model, called the Forest Fire model, and using simulations showed that this model indeed exhibited these properties; however, proving this rigorously was left as an open problem. In this paper, we analyse one of these properties, shrinking diameter. We define a restricted version of their model that incorporates the main features that seem to contribute towards this property, and prove that the graphs generated by this model exhibit shrinking distance to the seed graph. We prove that an even simpler model, the random walk model, already exhibits this phenomenon.
机译:Leskovec,Kleinberg和Faloutsos(2005)观察到许多社交网络表现出萎缩(即有界)直径,致密化和(动力法)重型尾部分布等性质。为了解释这些现象,他们介绍了一种称为森林火模型的生成模型,并使用模拟表明这种模型确实表现出这些性质;然而,证据证实这是一个公开的问题。在本文中,我们分析了其中一个性质,直径缩小。我们定义其模型的受限制版本,该模型包含似乎为此属性贡献的主要功能,并证明了该模型产生的图表表现出与种子图的收缩距离。我们证明了一种更简单的模型,随机步道模型已经展现出这种现象。

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