We provide strong evidence that large-scale communication and social networks exhibit this fundamental property, and through extensive computations we quantify ...
Jun 28, 2013 · Abstract:Through detailed analysis of scores of publicly available data sets corresponding to a wide range of large-scale networks, ...
Missing: estimation. | Show results with:estimation.
Abstract—Through detailed analysis of scores of pub- licly available data sets corresponding to a wide range of large-scale networks, from communication and ...
People also ask
What are some important characteristics of large scale networks?
What is an example of a large scale network?
PDF | Through detailed analysis of scores of publicly available data sets corresponding to a wide range of large-scale networks, from communication.
Bibliographic details on On the hyperbolicity of large-scale networks and its estimation.
In smooth geometry, hyperbolicity captures the notion of negative curvature; within the more abstract context of metric spaces, it can be generalized as d- ...
The Gromov hyperbolicity is an important parameter for analyzing complex networks which expresses how the metric structure of a network looks like a tree.
Missing: estimation. | Show results with:estimation.
Nov 5, 2014 · of estimating a hyperbolic latent space model for a given network. ... Saniee, On the hyperbolicity of large-scale networks, arxiv:1307.0031 (2013) ...
Apr 17, 2023 · Hyperbolic network models provide a particularly successful approach to explain many peculiar features of real complex networks including, ...
Sep 16, 2015 · Abstract. The (Gromov) hyperbolicity is a topological property of a graph, which has been recently applied in several different contexts, ...