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2015 | OriginalPaper | Chapter

Hyperbolicity, Degeneracy, and Expansion of Random Intersection Graphs

Authors : Matthew Farrell, Timothy D. Goodrich, Nathan Lemons, Felix Reidl, Fernando Sánchez Villaamil, Blair D. Sullivan

Published in: Algorithms and Models for the Web Graph

Publisher: Springer International Publishing

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Abstract

We establish the conditions under which several algorithmically exploitable structural features hold for random intersection graphs, a natural model for many real-world networks where edges correspond to shared attributes. Specifically, we fully characterize the degeneracy of random intersection graphs, and prove that the model asymptotically almost surely produces graphs with hyperbolicity at least \(\log {n}\). Further, we prove that when degenerate, the graphs generated by this model belong to a bounded-expansion graph class with high probability, a property particularly suitable for the design of linear time algorithms.

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Footnotes
1
Not related to the notion of expander graphs.
 
2
It should be noted that constant clustering and bounded expansion are not orthogonal [9].
 
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Metadata
Title
Hyperbolicity, Degeneracy, and Expansion of Random Intersection Graphs
Authors
Matthew Farrell
Timothy D. Goodrich
Nathan Lemons
Felix Reidl
Fernando Sánchez Villaamil
Blair D. Sullivan
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-26784-5_3

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