sqrt_WDiag

Calculate the m by m diagonal weight matrix, <code>W</code>, for an inputted graph with <code>sqrt(w_e)</code> on the diagonal.

internal

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

sqrt_WDiag function

<dl><dt>weights</dt>
<dd>List of edges corresponding to edge list.</dd></dl>

Arguments

Author

Diagonal, m by m, weight matrix with sqrt(w_e) on the diagonal. — sqrt_WDiag

<dl>

<dt>weights</dt>
<dd>List of edges corresponding to edge list.</dd>

</dl>

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sqrt_WDiag: Diagonal, m by m, weight matrix with `sqrt(w_e)` on the diagonal.

Description

Usage

Value

Arguments

Author

Details