Random geometric graph
From Infogalactic: the planetary knowledge core
In graph theory, a random geometric graph (RGG) is the mathematically simplest spatial network, namely an undirected graph constructed by randomly placing N nodes in some metric space (according to a specified probability distribution) and connecting two nodes by a link if and only if their distance is in a given range, e.g. smaller than a certain neighborhood radius, r.
A real-world application of RGGs is the modeling of ad hoc networks.[1]
Examples
- In 1 dimension, one can study RGGs on a line of unit length (open boundary condition) or on a circle of unit circumference.
- In 2 dimensions, an RGG can be constructed by choosing a flat unit square [0, 1] (see figure) or a torus of unit circumferences [0, 1)2 as the embedding space.
The simplest choice for the node distribution is to sprinkle them uniformly and independently in the embedding space.
References
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- Penrose, Mathew: Random Geometric Graphs (Oxford Studies in Probability, 5), 2003.
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