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Title: GitHub - networkgeometry/SD-model: Code to generate geometric soft configuration graphs from S^D/H^D+1 model

Open Graph Title: GitHub - networkgeometry/SD-model: Code to generate geometric soft configuration graphs from S^D/H^D+1 model

X Title: GitHub - networkgeometry/SD-model: Code to generate geometric soft configuration graphs from S^D/H^D+1 model

Description: Code to generate geometric soft configuration graphs from S^D/H^D+1 model - networkgeometry/SD-model

Open Graph Description: Code to generate geometric soft configuration graphs from S^D/H^D+1 model - networkgeometry/SD-model

X Description: Code to generate geometric soft configuration graphs from S^D/H^D+1 model - networkgeometry/SD-model

Opengraph URL: https://github.com/networkgeometry/SD-model

X: @github

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Serrano, M. Á., Krioukov, D., & Boguná, M. (2008). Self-similarity of complex networks and hidden metric spaces. Physical review letters, 100(7), 078701.https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.100.078701
Krioukov, D., Papadopoulos, F., Kitsak, M., Vahdat, A., & Boguná, M. (2010). Hyperbolic geometry of complex networks. Physical Review E, 82(3), 036106.https://journals.aps.org/pre/abstract/10.1103/PhysRevE.82.036106
García-Pérez, G., Allard, A., Serrano, M. Á., & Boguñá, M. (2019). Mercator: uncovering faithful hyperbolic embeddings of complex networks. New Journal of Physics, 21(12), 123033.https://iopscience.iop.org/article/10.1088/1367-2630/ab57d2
Jankowski, R., Allard, A., Boguñá, M., & Serrano, M. Á. (2023). The D-Mercator method for the multidimensional hyperbolic embedding of real networks. Nature Communications, 14(1), 7585.https://www.nature.com/articles/s41467-023-43337-5
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