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arXiv 2007.06301math.PR
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一维软随机几何图的连通性

Connectivity in One-Dimensional Soft Random Geometric Graphs

Michael Wilsher, Carl P. Dettmann, Ayalvadi Ganesh

摘要:

本文研究了一维软随机几何图(RGG)的连通性。该图是通过在有界线段上随机放置点并以取决于点之间距离的概率连接点对来生成的。我们推导出的概率上的界限,图是完全连接的,通过分析断开的关键模式。特别是,给出了孤立节点数的均值和方差的解析表达式,并为它们的发生建立了一个尖锐的阈值。边界也来自未交叉的差距,它是分析表明,未交叉的差距可以忽略不计的概率在孤立的节点出现的缩放。这与硬RGG形成鲜明对比,在硬RGG中,考虑网络连接时,未交叉的间隙是最重要的因素。

英文摘要:

In this paper, we study the connectivity of a one-dimensional soft random geometric graph (RGG). The graph is generated by placing points at random on a bounded line segment and connecting pairs of points with a probability that depends on the distance between them. We derive bounds on the probability that the graph is fully connected by analysing key modes of disconnection. In particular, analytic expressions are given for the mean and variance of the number of isolated nodes, and a sharp threshold established for their occurrence. Bounds are also derived for uncrossed gaps, and it is shown analytically that uncrossed gaps have negligible probability in the scaling at which isolated nodes appear. This is in stark contrast to the hard RGG in which uncrossed gaps are the most important factor when considering network connectivity.

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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