genNetworkLE

Generate network with a selected blockmodel and level or errors. See details section.

To study network evolution models and different blockmodeling approaches. Various functions enable generating (temporal) networks with a selected blockmodel type, taking into account selected local network mechanisms. The development of this package is financially supported the Slovenian Research Agency (www.arrs.gov.si) within the research program P5<96>0168 and the research project J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).

Marjan Cugmas

nemBM

Using Network Evolution Models to Generate Networks with
Selected Blockmodel Type

Aleš Žiberna

genNetworkLE function

<dl><dt>BM</dt>
<dd>An image matrix of a blockmodel; of class <code>matrix</code> with possible values "nul" and "com".</dd>
<dt>LE</dt>
<dd>Desired level of errors.</dd>
<dt>size</dt>
<dd>A vector with the values specifying clusters' sizes. The number of elements of this vector must be the same as the number of clusters specified by an image matrix.</dd>
<dt>symmetric</dt>
<dd>Wheter a symmetric network should be generated.</dd></dl>

Arguments

Author

Relocating Links algorithm (RL algorithm) — genNetworkLE

<dl>

<dt>BM</dt>
<dd>An image matrix of a blockmodel; of class <code>matrix</code> with possible values "nul" and "com".</dd>


<dt>LE</dt>
<dd>Desired level of errors.</dd>


<dt>size</dt>
<dd>A vector with the values specifying clusters' sizes. The number of elements of this vector must be the same as the number of clusters specified by an image matrix.</dd>


<dt>symmetric</dt>
<dd>Wheter a symmetric network should be generated.</dd>

</dl>

genNetworkLE: Relocating Links algorithm (RL algorithm)

Description

Usage

Value

Arguments

Author

Details

References

Examples