Remove all edges under certain edge weight threshold.

Network sparsification with a variety of novel and known network sparsification
techniques. All network sparsification techniques reduce the number of edges, not the number
of nodes. Network sparsification is sometimes referred to as network dimensionality reduction.
This package is based on the work of Spielman, D., Srivastava, N. (2009)<arXiv:0803.0929>.
Koutis I., Levin, A., Peng, R. (2013)<arXiv:1209.5821>. Toivonen, H., Mahler, S., Zhou, F.
(2010)<doi:10.1007>. Foti, N., Hughes, J., Rockmore, D. (2011)<doi:10.1371>.

Alexander Mercier

simplifyNet

Network Sparsification

Andrew Kramer

Shubhankar Tripathi

Tomlin Pulliam

John Drake

gns function

<dl><dt>network</dt>
<dd>Weighted adjacency matrix, weighted <code>igraph</code> network, or edge list formatted | n1 | n2 | weight | with colnames <code>c("n1", "n2", "weight")</code>.</dd>
<dt>remove.prop</dt>
<dd>The proportion of highest weighted edges to retain. A value between 0 and 1.</dd>
<dt>cutoff</dt>
<dd>Threshold value for edge weight thresholding.</dd>
<dt>directed</dt>
<dd>If <code>TRUE</code>, specifies that the inputted network is directed. Default is <code>FALSE</code>.</dd></dl>

Arguments

Andrew Kramer
Alexander Mercier

Author

Global Network Sparsification — gns

<dl>

<dt>network</dt>
<dd>Weighted adjacency matrix, weighted <code>igraph</code> network, or edge list formatted | n1 | n2 | weight | with colnames <code>c("n1", "n2", "weight")</code>.</dd>


<dt>remove.prop</dt>
<dd>The proportion of highest weighted edges to retain. A value between 0 and 1.</dd>


<dt>cutoff</dt>
<dd>Threshold value for edge weight thresholding.</dd>


<dt>directed</dt>
<dd>If <code>TRUE</code>, specifies that the inputted network is directed. Default is <code>FALSE</code>.</dd>

</dl>

gns: Global Network Sparsification

Description

Usage

Value

Arguments

Author

Examples