Ricci Curvature of the Internet Topology
January 17, 2015 Β· Declared Dead Β· π IEEE Conference on Computer Communications
"No code URL or promise found in abstract"
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Authors
Chien-Chun Ni, Yu-Yao Lin, Jie Gao, Xianfeng David Gu, Emil Saucan
arXiv ID
1501.04138
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CG,
cs.NI,
physics.soc-ph
Citations
113
Venue
IEEE Conference on Computer Communications
Last Checked
4 months ago
Abstract
Analysis of Internet topologies has shown that the Internet topology has negative curvature, measured by Gromov's "thin triangle condition", which is tightly related to core congestion and route reliability. In this work we analyze the discrete Ricci curvature of the Internet, defined by Ollivier, Lin, etc. Ricci curvature measures whether local distances diverge or converge. It is a more local measure which allows us to understand the distribution of curvatures in the network. We show by various Internet data sets that the distribution of Ricci cuvature is spread out, suggesting the network topology to be non-homogenous. We also show that the Ricci curvature has interesting connections to both local measures such as node degree and clustering coefficient, global measures such as betweenness centrality and network connectivity, as well as auxilary attributes such as geographical distances. These observations add to the richness of geometric structures in complex network theory.
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