SSEblock

It calculates the sum of square differences between the desired (specified by an image matrix M) denstities and empirical densities.

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

SSEblock function

<dl><dt>X</dt>
<dd>Initial binary network; of class <code>matrix</code>.</dd>
<dt>M</dt>
<dd>Image matrix with block densities.</dd>
<dt>partition</dt>
<dd>A partition in a vector format. Each unique value (positive integers) represents one cluster.</dd>
<dt>loops</dt>
<dd>Wheter loops are allowed or not.</dd></dl>

Arguments

Author

Sum of squared error across blocks — SSEblock

<dl>

<dt>X</dt>
<dd>Initial binary network; of class <code>matrix</code>.</dd>


<dt>M</dt>
<dd>Image matrix with block densities.</dd>


<dt>partition</dt>
<dd>A partition in a vector format. Each unique value (positive integers) represents one cluster.</dd>


<dt>loops</dt>
<dd>Wheter loops are allowed or not.</dd>

</dl>

SSEblock: Sum of squared error across blocks

Description

Usage

Value

Arguments

Author

Examples