Mercator: uncovering faithful hyperbolic embeddings of complex networks
We introduce Mercator, a reliable embedding method to map real complex networks into their hyperbolic latent geometry. The method assumes that the structure of networks is well described by the popularity × similarity ${{\mathbb{S}}}^{1}/{{\mathbb{H}}}^{2}$ static geometric network model, which can...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2019-01-01
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| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/ab57d2 |