Computer Science – Social and Information Networks
Scientific paper
2012-01-09
Computer Science
Social and Information Networks
38 pages, 1 figure
Scientific paper
Hyperbolicity is a property of a graph that may be viewed as being a "soft" version of a tree, and recent empirical and theoretical work has suggested that many graphs arising in Internet and related data applications have hyperbolic properties. Here, we consider Gromov's notion of $\delta$-hyperbolicity, and we establish several positive and negative results for small-world and tree-like random graph models. In particular, we show that small-world random graphs built from underlying grid structures do not have strong improvement in hyperbolicity, even when the rewiring greatly improves decentralized navigation. On the other hand, for a class of tree-like graphs called ringed trees that have constant hyperbolicity, adding random links among the leaves in a manner similar to the small-world graph constructions may easily destroy the hyperbolicity of the graphs, except for a class of random edges added using an exponentially decaying probability function based on the ring distance among the leaves. In addition to being of interest in their own right, our main results shed light on the relationship between hyperbolicity and navigability, as well as the relationship between $\delta$-hyperbolicity and the use of randomness in common random graph constructions.
Chen Wei
Fang Wenjie
Hu Guangda
Mahoney Michael W.
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