A bound for the diameter of random hyperbolic graphs
Marcos Kiwi, Dieter Mitsche

TL;DR
This paper establishes an upper bound on the diameter of random hyperbolic graphs for certain parameters, providing insights into their structure and answering open questions about component sizes.
Contribution
It proves a logarithmic bound on the diameter of components in random hyperbolic graphs for 1/2 < α < 1, and analyzes the size of the second largest component.
Findings
Graph diameter is O(log^{C_0+1+o(1)} n) for vertices in the same component.
Second largest component size is O(log^{2C_0+1+o(1)} n).
Existence of isolated components forming long paths of length Ω(log n).
Abstract
Random hyperbolic graphs were recently introduced by Krioukov et. al. [KPKVB10] as a model for large networks. Gugelmann, Panagiotou, and Peter [GPP12] then initiated the rigorous study of random hyperbolic graphs using the following model: for , , , set and build the graph with as follows: For each , generate i.i.d. polar coordinates using the joint density function , with chosen uniformly from and with density for . Then, join two vertices by an edge, if their hyperbolic distance is at most . We prove that in the range a.a.s. for any two vertices of the same component, their graph distance is , where…
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