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Cliques in High-Dimensional Geometric Inhomogeneous Random Graphs by Friedrich, Tobias; Göbel, Andreas; Katzmann, Maximilian; Schiller, Leon is a scholarly article available to read on EtoBox.

What is Cliques in High-Dimensional Geometric Inhomogeneous Random Graphs about?

A recent trend in the context of graph theory is to bring theoretical analyses closer to empirical observations, by focusing the studies on random graph models that are used to represent practical instances. There, it was observed that geometric inhomogeneous random graphs (GIRGs) yield good representations of complex real-world networks, by expressing edge probabilities as a function that depends on (heterogeneous) vertex weights and distances in some underlying geometric space that the vertices are distributed in. While most of the parameters of the model are understood well, it was unclear how the dimensionality of the ground space affects the structure of the graphs. In this paper, we complement existing research into the dimension of geometric random graph models and the ongoing study of determining the dimensionality of real-world networks, by studying how the structure of GIRGs changes as the number of dimensions increases. We prove that, in the limit, GIRGs approach non-geometric inhomogeneous random graphs and present insights on how quickly the decay of the geometry impacts important graph structures. In particular, we study the expected number of cliques of a given size

Author

Friedrich, Tobias; Göbel, Andreas; Katzmann, Maximilian; Schiller, Leon

Published

2023

Language

EN