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arXiv · 1207.2573

Degree Correlations in Random Geometric Graphs

Alberto Antonioni·Marco Tomassini
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Abstract

Spatially embedded networks are important in several disciplines. The prototypical spatial net- work we assume is the Random Geometric Graph of which many properties are known. Here we present new results for the two-point degree correlation function in terms of the clustering coefficient of the graphs for two-dimensional space in particular, with extensions to arbitrary finite dimension.

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BibTeXRIS

Alberto Antonioni, Marco Tomassini. 2013-03-19. Degree Correlations in Random Geometric Graphs. https://doi.org/10.1103/physreve.86.037101

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