curveball

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.

Zachary Neal

backbone

Extracts the Backbone from Weighted Graphs

curveball: curveball algorithm

Description

Usage

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Value

References

Examples