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r-backbone

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Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (SDSM; Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), the fixed degree sequence model (FDSM; Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), the fixed row model (FRM; Neal, Z. P. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed column model (FCM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>), the fixed fill model (FFM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>), and a universal threshold method.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-backbone

Usage Tracking

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About

Summary

Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (SDSM; Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), the fixed degree sequence model (FDSM; Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), the fixed row model (FRM; Neal, Z. P. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed column model (FCM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>), the fixed fill model (FFM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>), and a universal threshold method.

Last Updated

Dec 8, 2025 at 16:15

License

GPL-3.0-only

Total Downloads

89.1K

Supported Platforms

linux-ppc64le
linux-aarch64
win-64
macOS-64
linux-64

Unsupported Platforms

noarch Last supported version: 2.0.0