Description Usage Arguments Value Author(s) References Examples
Given a weighted graph, backbone
identifies the 'backbone structure'
of the graph, using the disparity filter algorithm by Serrano et al. (2009).
1 2 |
graph |
The input graph. |
weights |
A numeric vector of edge weights, which defaults to
|
directed |
The directedness of the graph, which defaults to the result
of |
alpha |
The significance level under which to preserve the edges, which
defaults to |
An edge list corresponding to the 'backbone' of the graph, i.e. the edges of the initial graph that were preserved by the null model that the disparity filter algorithm implements.
Serrano et al. (2009); R implementation by Alessandro Bessi and Francois Briatte
Serrano, M.A., Boguna, M. and Vespignani, A. (2009). Extracting the multiscale backbone of complex weighted networks. Proceedings of the National Academy of Sciences 106, 6483-6488.
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Loading required package: igraph
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
from to weight alpha
221 48 9 24 0.03811892
368 77 2 25 0.03070550
725 148 23 18 0.03092621
791 162 72 23 0.03714964
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