WeightedNetworkStatistics

It calculates the weighted network statistics, considering the selected local network mecahnisms and their weights.

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

WeightedNetworkStatistics function

<dl><dt>X</dt>
<dd>Binary network; of class <code>matrix</code>.</dd>
<dt>formula</dt>
<dd>The list of local netork mechanisms to be considered.</dd>
<dt>theta</dt>
<dd>A vector with the mechanisms' weights/strengths.</dd>
<dt>actor</dt>
<dd>A unit (actor; row/column number), which have an opportunity to change a link.</dd>
<dt>randomSD</dt>
<dd>The srandard deviation of a normal distribution form which the random part of weighed network statistics is sampled.</dd></dl>

Arguments

Author

Weighted network statistics — WeightedNetworkStatistics

<dl>

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


<dt>formula</dt>
<dd>The list of local netork mechanisms to be considered.</dd>


<dt>theta</dt>
<dd>A vector with the mechanisms' weights/strengths.</dd>


<dt>actor</dt>
<dd>A unit (actor; row/column number), which have an opportunity to change a link.</dd>


<dt>randomSD</dt>
<dd>The srandard deviation of a normal distribution form which the random part of weighed network statistics is sampled.</dd>

</dl>

WeightedNetworkStatistics: Weighted network statistics

Description

Usage

Value

Arguments

Author

Examples