toa_diff

Creates \(n \times n\) matrix indicating the difference in times of adoption between
each pair of nodes

manip

Empirical statistical analysis, visualization and simulation of
diffusion and contagion processes on networks. The package implements algorithms
for calculating network diffusion statistics such as transmission rate, hazard
rates, exposure models, network threshold levels, infectiousness (contagion),
and susceptibility. The package is inspired by work published in Valente,
et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN:
9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011)
<DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.

George Vega Yon

netdiffuseR

Analysis of Diffusion and Contagion Processes on Networks

Thomas Valente

Stephanie Dyal

Timothy Hayes

toa_diff function

<dl><dt>obj</dt>
<dd>Either an integer vector of size \(n\) containing time of adoption of the innovation,
or a <code>diffnet</code> object.</dd>
<dt>t0</dt>
<dd>Integer scalar. Sets the lower bound of the time window (e.g. 1955).</dd>
<dt>labels</dt>
<dd>Character vector of size \(n\). Labels (ids) of the vertices.</dd></dl>

Arguments

George G. Vega Yon &amp; Thomas W. Valente

Author

Difference in Time of Adoption (TOA) between individuals — toa_diff

<dl>

<dt>obj</dt>
<dd>Either an integer vector of size \(n\) containing time of adoption of the innovation,
or a <code>diffnet</code> object.</dd>


<dt>t0</dt>
<dd>Integer scalar. Sets the lower bound of the time window (e.g. 1955).</dd>


<dt>labels</dt>
<dd>Character vector of size \(n\). Labels (ids) of the vertices.</dd>

</dl>

toa_diff: Difference in Time of Adoption (TOA) between individuals

Description

Usage

Value

Arguments

Author

Details

Examples